Better human outcomes. Better human systems.

Why Poko

The next generation of human systems

Poko is building the practical infrastructure for human cognition in a world of increasingly intelligent technology.

We have spent decades making machines faster, organisations more connected and information easier to generate. But the people who must understand that information, make the decisions and live with the consequences remain human. Attention is limited. Minds differ. Time, recovery and judgement cannot be scaled simply by adding another dashboard, meeting, notification or AI agent.

That is the gap Poko exists to address.

Poko is an Australian applied cognitive-systems company combining practical learning, cognitive-function and performance support, software, research-informed operating methods and, over time, intelligent physical environments, wearables and neurotechnology. We are working toward a future in which the systems around people adapt to human cognitive reality—rather than requiring people to endlessly compensate for systems that ignore it.

Our starting point is real-world function. Our longer-term ambition is cognitive infrastructure.

The investment thesis: as AI, automation and connected devices increase the volume and speed of what systems can produce, the ability of people and organisations to allocate attention, make sound decisions and act sustainably becomes more—not less—important. Poko aims to build tools and environments for that bottleneck.

01 / The world we see coming

Intelligence is becoming abundant. Human attention is not.

Generative AI is changing the economics of producing text, analysis, code, imagery and decisions-supporting information. Software can now create more options, more outputs and more recommendations than a person or team can reasonably evaluate. Increasingly, the constraint is not whether something can be generated; it is whether someone can understand what matters, judge its reliability, decide what to do and carry that decision into the world.

That constraint compounds across layers. The individual must manage attention and cognitive effort. Teams must establish common understanding and dependable handoffs. Firms must make attention visible in strategy, governance and execution. Public institutions must design processes that real people can navigate. Buildings, interfaces and digital infrastructure can either reduce those burdens or quietly increase them.

Poko's view is that human cognitive fit will become a core design requirement across work, technology, services and environments. Not because everybody needs a neurotechnology device, and not because every difficulty is neurological, but because any system that depends on human interpretation and action has to respect human limits and differences.

Five shifts make this consequential:

1. AI multiplies outputs, not human judgement. More information increases the importance of selection, verification, context and responsible decision-making.
2. Work is becoming a cognitive environment. Meetings, notifications, interfaces, roles and policies determine how much attention is spent before valuable work begins.
3. One-size-fits-all design is increasingly inadequate. People differ in attention, sensory processing, pacing, uncertainty tolerance, recovery needs and preferred support.
4. Sensing is becoming technically possible in more settings. Wearables and environmental sensors may support better feedback, but can also create surveillance, false certainty and coercion unless carefully governed.
5. Institutions will need cognitive stewardship. Responsible organisations may need to manage cognitive demands and decision architecture as seriously as they manage finance, cyber risk and safety.

These are the conditions informing our strategy—not a claim that the future is predetermined. The company must test which product opportunities are useful, wanted, safe, economically viable and defensible.

The problem is not a shortage of capable people

Poko's intellectual starting point is the argument developed in Dave Morris's Good People Dumb Systems: recurring failures are too often attributed to individual weakness without adequately examining the systems that shape attention, options, behaviour and decisions.

An executive can understand strategy and still operate in a meeting culture that prevents sound decisions. A professional can possess the required skills and still work in a tool environment that makes execution unnecessarily costly. A person can have an appropriate clinical or non-clinical support plan and still struggle to turn it into everyday action. A public system can be technically compliant and cognitively impossible to navigate.

The implication is not that individuals bear no responsibility. It is that training people harder is not a complete response to misdesigned conditions.

Our ambition is to make the conditions visible and changeable.

02 / Our mission, in plain language

To help people and organisations think, decide and function better by designing tools, support and environments around how humans actually work.

We want to help make good judgement, effective action and sustainable performance less dependent on perfect conditions or heroic individual effort.

The operating philosophy

Start with function. What important thing needs to happen in real life? What currently gets in the way?

Understand the whole system. Look at the person, task, environment, technology, relationships, demands and available support—not merely the visible symptom.

Make finite resources explicit. Attention, time, capacity, working memory and recovery are constraints to be respected, not weaknesses to be denied.

Choose the right lever. Sometimes the answer is skill development. Sometimes it is an external reminder, a changed workflow, a quieter room, better governance, help from another person or appropriate clinical referral.

Measure the outcome and the cost. It matters whether the task was completed. It also matters whether it required unsustainable fatigue, crisis, constant checking or hours of hidden work.

Preserve agency. People should understand and control their own data, settings and decisions. Technology should support judgement, not impersonate authority.

Correct the model when evidence disagrees. We are developing a company and an intellectual framework. Neither should become immune to criticism.

The deeper unifying belief

Capability is not held entirely inside a head. It emerges through an interaction between a person and the conditions in which they are asked to act. If we can understand and improve those conditions, we may be able to improve outcomes without endlessly increasing pressure on the individual.

03 / What Poko is today

Current execution phase — October 2026: Poko is now working with individuals, businesses, teams, organisations, and governments. Professional and team workflows are current work and development. The detailed features below retain their own release, scope, and evidence status; physical environments and sensing remain further horizons.

Poko is already more than a speculative hardware concept. Its public-facing offer includes cognitive-function and performance support, Weekly Reset, executive and business-oriented coaching, educational resources and practitioner-facing pathways. The Poko application and materials in the programme catalogue also show four interconnected 12-week learning programmes.

The current offer is the first commercial and learning surface—not proof that the entire future product architecture is deployed.

Weekly Reset: the real-world entry point

Weekly Reset is a structured recurring rhythm for making the next seven days more workable. It asks what is coming, what is already consuming capacity, where a plan is likely to fail, what matters and how to create an actionable route with slack, a next move and a fallback.

Its design is deliberately low-social-load: live or replayable support, private prompts, and practical outputs rather than public disclosure or motivational performance. It translates a high-level cognitive-systems insight into an ordinary recurring need: getting a week to work in real life.

The proposed learning architecture

The programme catalogue sets out four connected learning tracks. It is a developing learning architecture; check current public offer pages for what is available now.

The programmes serve complementary needs: organise personal execution; reason well; build commercially viable systems; and make worthwhile expertise understandable and useful to others.

Private and practitioner-facing services

Poko offers non-clinical executive coaching, strategy support, and functional starting points. Medical and psychological assessment and treatment belong with appropriately qualified independent practitioners. Poko coaching and profiles are not diagnosis, clinical treatment, or triage.

The software foundation

The public Poko resources describe an app in which plans, goals, maps, practice blocks and helpful tools can remain accessible between sessions. The more detailed internal product specification envisages a structured library of functional interventions and a practitioner-supported prescription workflow. That internal blueprint is not the same as verified release or market adoption of every feature.

Poko's published evidence register, reviewed in September 2026, describes a versioned Weekly Reset engine, successful automated verification and privacy-related implementation controls. It also states that important professional and intended-user human-validation gates remain incomplete. This distinction is valuable: the company can demonstrate an engineering and evidence-management approach without claiming clinical effectiveness that has not been established.

The current beachhead is practical cognitive function. The broader platform is the expansion opportunity.

04 / The Poko method: from insight to useful change

Poko begins with a real human situation. The company does not need every customer to identify with a diagnosis or a productivity ideology before obtaining suitable non-clinical support. Where medical or psychological concerns are relevant, professional scope and appropriate pathways take precedence.

A simple customer-facing loop is Screen → Pathway → Build:

• Screen: make the relevant demand, friction, constraints and current conditions visible.
• Pathway: decide what sort of support, intervention or change is actually appropriate.
• Build: put a specific change into the real week, environment, workflow or support system, then learn from what happens.

The internal Neurostrategy lens adds eight strategic questions: objective, primary constraint, cognitive budget, trade-off, lever, operating rule, failure mode and adaptation trigger. Its role is to organise legitimate interventions and supports—not replace a clinician, declare a diagnosis or provide a proprietary IQ score.

Poko's functional ontology describes sixteen kinds of real-world difficulties, including starting, sustaining, finishing, planning, time, decisions, transitions, attention, memory, learning, information processing, communication, regulation, sensory load, capacity/recovery and external systems. This taxonomy can potentially support consistent tools, content, measurement and practitioner workflows across multiple settings.

The signature measurement question

Most systems ask: Did performance improve?

Poko also asks: What did that performance cost?

A result achieved through unsustainable exhaustion, repeated checking, reliance on emergency effort or a highly burdensome support system is different from the same result achieved reliably with less cognitive cost. Poko proposes to track that distinction without inventing a neurological 'battery score'.

05 / The platform we intend to build

Our longer-term opportunity is a connected family of cognitive systems, not a collection of unrelated gadgets. The product roadmap is deliberately staged. The company should earn its way from software and real-world outcomes toward sensing, physical environments and hardware through validation and commercial demand.

A. Personal cognitive software

The first layer is Poko as a practical companion for planning, understanding, deciding, practising and returning after disruption. A personal profile should be editable and provisional: 'this seems to help', never 'this is your permanent brain type'.

Potential capabilities include contextual support, consent-based integrations, accessible multimodal interaction, structured weekly planning, decision tools, practice, adaptive recovery and an individual's own record of what helps under which conditions. AI can assist explanation and coordination, but meaningful choices remain reviewable and correctable.

Business possibilities: direct subscriptions, programmes, premium supported workflows and appropriate professional service attachment.

B. Practitioner and professional software

A second layer is an evidence-governed functional-intervention platform. Qualified practitioners could select and combine supported exercises, strategies, compensations, environmental changes and real-world tasks; tailor dosage and support; and review outcomes and costs.

The design analogy is closer to a prescribed physical-rehabilitation programme than a generic brain-game library. But cognitive and clinical work carries distinct evidence and regulatory responsibilities. Product roles must be separated by professional scope, with permissions, provenance and intended purpose clearly defined.

Business possibilities: practitioner subscriptions, licensed programme libraries, education and institutional licences, subject to appropriate approvals and evidence.

C. Organisational decision and work systems

At the team and enterprise level, the opportunity extends from individual performance to the architecture of work. Tools might map decision rights, information flows, interruption load, meeting cadence, handoffs, capacity and recovery, helping teams improve the conditions under which people decide and execute.

The objective is not to score employees' brains or create an executive surveillance cockpit. It is to make the design of work more intelligent. Any organisational data product should prioritise process-level patterns, carefully limited access, minimisation and genuine worker protections.

Business possibilities: enterprise software, diagnostics, facilitated redesign programmes and integration partnerships.

D. Intelligent offices, furniture and physical environments

The physical workplace is part of the cognitive system. Lighting, sound, spatial layout, furniture, interruptions and predictability can change the cost of sustained work and collaboration.

Future Poko hardware and spatial work may include adaptive desks, furniture, acoustically managed work zones, concentration and recovery spaces, environmental sensing, low-load workplace interfaces and integrated office-design systems. Some components may be developed directly; others may be designed, licensed or co-produced with established manufacturers and fit-out partners.

The correct sequence is to validate needs and outcomes with low-risk pilots and off-the-shelf components, then consider purpose-built furniture or embedded systems where differentiated performance and economics justify it.

Business possibilities: OEM licensing, spatial-design systems, B2B projects, recurring building software and selected hardware margin.

E. Wearables, neurotechnology and responsible sensing

Wearables and neurotechnology may offer another source of context, feedback and assistance. Poko's future explorations could include integration with existing devices, sensing for environmental fit or recovery, EEG/qEEG research, neurofeedback-related partnerships where defensible, and eventually proprietary devices if a clear unmet need has been established.

This is a long-horizon research and product-option programme, not a statement that Poko has an approved EEG device, a working brain-computer interface or technology that can read thoughts or diagnose conditions from everyday signals. Sensor quality, generalisability, false alarms, real-world utility, privacy and intended medical purpose would all require independent review and testing.

The principle is simple: do not collect neural or physiological data merely because the technology allows it. Collect only what materially helps the person's chosen outcome, under appropriate consent and governance.

Business possibilities: partner-device integrations first; later licensed methods, selected hardware and regulated or non-regulated applications only where evidence and approval permit.

Why these layers fit together

The same underlying question appears everywhere: what needs to happen, what makes it cognitively costly, and what change to the person–task–system relationship would help?

A programme can teach a person to leave a return point after interruption. Software can preserve that return point. A team's workflow can reduce unnecessary interruption. A smart workspace can reduce sensory demand. A wearable might, if valid and wanted, provide useful information about context or recovery. None requires pretending that a single sensor can explain a person.

This is our intended product architecture: digital support, professional practice, organisational design and physical infrastructure around a shared function-first method.

06 / The research engine: a company with a falsifiable thesis

Poko is informed by Dave Morris's work in strategic management, organisational attention, systems thinking and cognitive function. His formal doctoral proposal investigates the temporal dynamics of CEO attention and decision architectures after strategic renewal—particularly whether a correspondence between what leaders foreground and how firms govern decisions is associated with stabilisation rather than rollback.

The wider five-year research proposal proceeds through: (1) attention-to-action mechanisms; (2) cognitive capabilities and adaptation; (3) the firm as a multilevel cognitive system; (4) candidate design laws of large-scale cognitive systems; and (5) cognitive stewardship and intelligent societies. It outlines twenty proposed conceptual/empirical papers and several longer-duration empirical streams involving organisations, neurotechnology in real work, adoption, environments and eventually cities.

These are research intentions, not completed experimental findings. The underlying theories should be evaluated against alternatives, revised when wrong, and distinguished from the evidence already available in cognitive psychology, strategy, human factors and organisational science.

The Attention Physics work is especially ambitious: it proposes budgets, time-ordered ledgers and multilevel maps of attention using geometric, probabilistic and complex-systems modelling. Its quantum-cognition elements should be presented as candidate mathematical formalisms—not literal proof of quantum brain or organisational entanglement. Robust operational measures and predictive performance relative to simpler models are essential future tests.

The research gives Poko a direction for possible long-term differentiation: explicit concepts, a programme of tests, and useful decision-support methods. Research becomes an asset when it produces credible evidence and capabilities that people want to use.

Research independence and commercial governance

The company should have clear agreements around ownership and permitted use of intellectual property, university-related research obligations, participant consent, publication rights and conflicts of interest. Poko must not imply institutional endorsement, access to research participants or ownership of university work without documentation.

07 / The market: start focused, expand logically

It would be easy to label the opportunity 'the entire market for cognition'. That would be commercially meaningless.

Poko should begin by winning a narrow, measurable problem among people who recognise its value and are able to pay for useful support. The strongest initial fit appears to be capable, overloaded adults—especially founders, independent professionals, executives and people with recurring executive-function friction—who want actionable support rather than another information library.

Beachhead: individuals and professional buyers seeking more reliable planning, follow-through and decision support. Weekly Reset and adjacent software provide an accessible entry point.

Current professional work: coaches, allied professionals and organisations that need auditable functional support within their scope.

Current organisational work: teams and enterprises where recurring decision and workflow burdens have clear operational cost.

Expansion 3: workspaces, manufacturers and facilities partners able to validate environmental and furniture solutions.

Expansion 4: selected wearable and neurotechnology applications where measured utility and governance justify the additional complexity.

The commercial sequence matters. A large theoretical addressable market does not replace evidence of willingness to pay, acquisition economics, retention, customer outcomes or gross margin.

Distinct routes to revenue

This is not a claim that all six routes are live or equally attractive. Portfolio discipline will require prioritising those that produce validated outcomes and the strongest unit economics.

08 / How we would build a defensible business

The intended advantage is not one proprietary slogan. It is the combination of applied method, product design, evidence, distribution and trust, improved through actual use.

A consistent functional ontology. Poko can organise problems and interventions across contexts without treating diagnoses as universal product categories.

Structured, reviewable decision support. The Neurostrategy lens provides a coherent way to identify constraints, trade-offs, levers, failure modes and adaptation triggers.

An evidence and claims discipline. Each content item and product feature can state intended use, provenance, limitations and review obligations. This becomes especially important as professional products and sensing enter the roadmap.

Applied content and repeatable delivery. Programmes, tools, templates, brief outputs and host-led formats can turn sophisticated thinking into practices customers will actually use.

Founder-led distribution. Dave's writing, speaking and strategy background can provide a distinctive voice and a mechanism for reaching customers and partners. It must be measured as a channel, not assumed to create free or unlimited acquisition.

An ethical learning loop. With lawful, meaningful permission and minimised data, Poko can learn which approaches improve outcomes and at what cost. We reject a 'data moat' based on collecting sensitive human information without clear benefit and control.

Integrations and eventually physical presence. Software that works with practitioners, teams, facilities and devices may become more useful over time; any durable ecosystem advantage must be earned through adoption and interoperability.

The flywheel we intend to test

Useful ideas and accessible entry products → better individual outcomes → trust and return use → opt-in learning and stronger methods → professional and enterprise adoption → new integrations and physical applications → more occasions to deliver value.

Each arrow is a business hypothesis that needs measurement. No flywheel is real merely because it is drawn on a slide.

09 / Why Dave Morris

Poko is founded by Dave Morris, an Australian strategist, author and neurostrategy PhD candidate. His public professional profile describes more than fifteen years of global corporate strategy work, previous leadership at Brilliance Lab, and experience as a performer, host and communicator.

His supplied doctoral proposal examines how executive attention, decision rights, cadence, governance and procedural quality relate to strategic change. Good People Dumb Systems expands the same concern across individual life, teams, workplaces, ecosystems and society, with an extensive chapter-level reading and DOI trail. Further working papers explore sustainable systems, a Shared Network Organisation, systemic attention deficit and candidate models of multilevel attention.

This combination matters for the company: commercial strategy keeps the work grounded in real decisions; research supplies rigorous questions; product development turns ideas into useful tools; and communication makes complex concepts understandable enough to spread.

The founder should be judged on all four—not on theoretical originality alone. The near-term task is to assemble a team that can execute product delivery, evidence, clinical governance where relevant, hardware development, capital allocation and enterprise sales without turning the business into a single-person bottleneck.

10 / Build sequence and capital discipline

The vision is broad. The execution plan must be narrow enough to win.

Horizon 1 — The digital foundation (established and ongoing)

Focus on Weekly Reset and coherent adjacent software; instrument the full customer journey; establish real-world usability, functional outcomes and retention; refine consumer pricing and unit economics; document reliable delivery and support; independently review privacy and intended-purpose boundaries.

Evidence gates: real user completion, time-to-value, return rate, outcome/cost measures, paid retention, support burden, security and privacy review, a defensible basis for any health-related claims.

Horizon 2 — Professional and team workflows (current execution phase)

We are now working with individuals, businesses, teams, organisations, and governments. Professional practice, supported workflows, and organisational decision and workload systems are our current phase. We are developing the delivery, product architecture, evidence governance, and repeatable economics of that work. Each capability retains its own professional scope, regulatory boundary, and release status.

Evidence gates: professional acceptability, workflow integration, buyer willingness to pay, measurable functional/process outcomes, repeatable deployment economics, enterprise security and consent governance.

Horizon 3 — Prove physical integration (contingent future horizon)

Partner with workspace, furniture, acoustic, lighting or workplace technology specialists on small, measurable pilots. Test the value of environmental adaptation before expanding hardware manufacturing exposure.

Evidence gates: objective and user-reported utility, installation and maintenance cost, durability, interoperability, workplace acceptance, procurement cycle, safety.

Horizon 4 — Selected neurotechnology and cognitive infrastructure (long horizon; research-led)

Explore approved or appropriate consumer integrations and research partnerships; investigate additional sensing only where there is a sound hypothesis and real-world benefit. Consider proprietary wearable/neurotechnology hardware only if there is a validated use case, clear regulatory pathway and viable manufacturing economics.

Evidence gates: instrument validity, subgroup performance, privacy risk assessment, actual improvement relative to low-tech alternatives, regulatory pathway, ethics approval where required and commercial feasibility.

These horizons overlap only when sufficient people, governance and capital exist. Nothing requires the company to build all product families simultaneously.

What investment would fund

A properly costed raise should allocate funds explicitly to the core software and design team, outcome validation, security and privacy, customer acquisition and support, partnerships and enterprise pilots, and research translation. Future hardware and clinical-product programmes should have their own evidence and capital gates.

No financing amount, valuation, runway, or share terms are represented here. These need verified records and an appropriate investment process.

11 / How we intend to know if we are right

Poko should publish and maintain an evidence register—not only scientific sources but its own delivery and outcome claims. Useful company-level measures could include:

• Function: whether the intended activity or decision happened in the real world.
• Cost: time, rework, fatigue, repeated checking, recovery and support required.
• Reliability: whether the improvement survives an ordinary difficult week rather than only ideal conditions.
• Return and usefulness: whether people voluntarily reuse the support because it helps, not because of streak pressure.
• Economic quality: conversion, paid retention, gross margin, acquisition cost, customer support cost and payback periods.
• Safety and trust: incidents, complaints, consent withdrawals, inappropriate recommendations, data minimisation and audit outcomes.
• Learning quality: whether independent evaluation supports, narrows or rejects product and theory assumptions.

Investor and progress updates should separate product engineering results, customer usage, customer outcomes, scientific validation and commercial performance. A software unit test cannot substitute for a clinical result; an academic reference cannot substitute for evidence that Poko's own intervention works; and website traffic is not recurring revenue.

12 / Risks worth taking seriously

Focus risk. A wide vision can lead to product sprawl. Response: concentrate the initial business around a specific, measured digital wedge; fund expansion only after gates are met.

Scientific translation risk. The theory may not yield incremental predictive or practical value over simpler methods. Response: compare against alternative models, preregister meaningful tests when appropriate, publish uncertainty and be prepared to drop weak constructs.

Clinical and regulatory risk. Coaching, consumer wellness, clinical software, wearables and neurotechnology may carry very different obligations depending on intended purpose. Response: product-by-product classification and independent governance; no diagnosis or treatment claims without the appropriate basis.

Privacy and power risk. Cognitive and physiological data can be used to help people or to monitor and pressure them. Response: user control, minimisation, separation of employment and care data, defined access, meaningful consent and firm limits on employer surveillance.

Hardware execution risk. Physical products introduce certification, manufacturing, inventory, installation and service complexity. Response: partner-first pilots and staged make-versus-license decisions.

Founder concentration risk. Too much of the intellectual and commercial system can depend on Dave personally. Response: document methods, clarify IP, establish independent technical/clinical leadership and build repeatable delivery.

Market and willingness-to-pay risk. Broad intellectual resonance may not translate into customers. Response: defined segments, paid experiments and rigorous cohort economics rather than invented total-addressable-market figures.

13 / What kind of partner we want

Poko's natural early partners are people who understand that software, health, the workplace and human capability are converging—but also understand that research, regulated products and capital-intensive hardware require patience and discipline.

We are interested in conversations with potential investors and strategic partners who can contribute to a staged venture: product and software execution; clinically appropriate or professionally governed evidence; enterprise distribution; workplace and furniture manufacturing; accessible interaction design; privacy-preserving sensing; and eventually neurotechnology research and hardware pathways.

We would rather build one dependable capability and earn the next than claim the entire future is already ours.

The invitation

The central question is no longer only how much intelligence our technology can create.

It is whether the people, organisations and societies using that technology can understand, direct and sustain the intelligence available to them.

Poko is building toward a world in which better human outcomes come from better human systems.

We are beginning with the week in front of us. The long-term destination is a new class of cognitive infrastructure: software, professional support, organisations, environments and devices that are designed to work with human cognition.

That is the problem we intend to spend years learning to solve.

Questions and partnership enquiries: hello@poko.au
Company: poko.au
Founder: davemorris.com.au

The Poko technology roadmap

Software first. Intelligence in context. Hardware when earned.

Current execution phase — October 2026: Poko is now working with individuals, businesses, teams, organisations, and governments. Professional and team workflows are current work and development. The detailed features below retain their own release, scope, and evidence status; physical environments and sensing remain further horizons.

Design rule

We do not believe every human problem requires a device. We believe every new capability should have a specific outcome, a plausible mechanism, a route to proof and an acceptable cognitive, financial and privacy cost.

Poko therefore starts with the cheapest credible intervention that can improve a real-world outcome, and only adds sophistication when it pays for itself.

Layer 1 — Poko personal software

Why it matters: The gap between insight and action creates demand for a consistent personal support environment.

Potential core experiences: weekly state and planning, practical decision tools, editable personal operating playbook, lessons tied to current needs, restarts after disruption, consent-based data integrations, real-world practice and progress views.

Engineering priority: reliable structured state, understandable recommendations, corrections, accessibility, ability to leave the app, protected privacy and outcome measurement. AI may help translate complex information into a small useful next step, but should not be a black box or the only interface.

Validation priority: people voluntarily return because it helps them act, and they achieve meaningful outcomes without accumulating maintenance work.

Layer 2 — Practitioner platform and intervention catalogue

Why it matters: Many real cognitive-function problems benefit from structured supported practice, compensation, environmental changes or appropriate referral, not just education.

Potential product: a library of functional intervention objects that professionals can select, adapt, dose and review; practitioner workflow and permissions; programme builder; outcome and cost measures; provenance, evidence level and claims boundaries.

Guardrail: separate coaching, education, allied health, clinical treatment and medical review by role, purpose and authorisation. The sixteen functional categories organise target problems; diagnosis is contextual information, not a universal folder.

Validation priority: practitioner acceptability, appropriate patient/client outcomes, safe delivery, workload economics and a clear regulatory determination for each product function.

Layer 3 — Team and enterprise decision architecture

Why it matters: Individual coaching cannot repair every broken handoff, pointless meeting or overloaded decision rule.

Potential product: process-level attention and decision audits, organisational operating rhythms, workload and interruption maps, decision rights and escalation tools, cognitive-cost-informed workflow redesign, optional environment integrations.

Guardrail: no hidden 'brain performance' scores or personal neuro-monitoring for managers. Separate worker consent and sensitive data from employment power dynamics. Design measures around shared processes and bounded intervention studies.

Validation priority: time saved, error reduction, greater decision reliability, fewer breakdowns or other independently specified organisational outcomes—not vanity dashboards.

Layer 4 — Smart workplaces and furniture

Why it matters: Cognitive conditions are physical as well as digital. Noise, light, unpredictable interruption, temperature, layout and furniture design can influence work experience and task performance.

Potential product families: adjustable/ergonomic workstations, adaptive acoustic and lighting components, quiet collaboration/focus zones, furniture designed for task transitions, smart meeting interfaces, environment sensing with local controls, restorative micro-spaces.

Preferred entry: partner with OEMs, furniture manufacturers, facilities providers and design firms. Prototype a narrow use case; run a controlled field pilot; compare it with simpler alternatives; then decide between licensing, co-design, assembly and own-manufacture.

Validation priority: actual benefit relative to installation/operating cost, accessible use, maintenance burden, user acceptance and long-term reliability.

Layer 5 — Wearables and neurotechnology

Why it matters: In limited use cases, physiological, behavioural or environmental signals might provide useful context that self-report or ordinary workflows cannot capture as efficiently.

Discovery order:

1. No sensor: see whether better task and environment design solves the problem.
2. Existing device: when appropriate, explore optional integration with established wearable platforms and carefully defined inputs.
3. Research pilot: assess validity, privacy, calibration, subgroup performance and actionable value of additional signals, potentially including EEG/qEEG in governed studies.
4. Product pathway: decide whether the purpose is general wellness, workplace design, practitioner assistance or a regulated medical use, and follow the corresponding legal and scientific requirements.
5. Proprietary hardware option: proceed only if differentiation, evidence, user demand and economics justify manufacturing.

Explicit non-claims: Poko does not currently claim to read thoughts, identify an individual's capability from a single biomarker, diagnose ADHD from wearables, treat a disorder with an unapproved device, or have validated whole-person cognitive scores.

Shared platform services, if warranted

Across layers, some reusable capabilities may be valuable: task-state memory, participant-controlled contextual profiles, intervention provenance, consent and access controls, structured outcomes, longitudinal review, transparent recommendations and interoperability. Build these as reusable components where a genuine need exists; avoid constructing a grand technical abstraction before the first products have repeatable demand.

Gate-by-gate roadmap

Time horizons are planning assumptions, not delivery promises. Capital should be gated separately for the regulated and hardware tracks.

Standards and boundaries

Australian TGA guidance distinguishes general-wellness coaching software from software or wearables with medical intended purposes; the intended purpose, functions and claims matter. OAIC privacy guidance requires careful treatment of personal and sensitive information, with consent and other lawful-basis rules depending on context. Professional scope, human research ethics, accessibility and workplace safety may also be relevant. See source library.

The long-term product bet: The most valuable future intelligent environment may not be the one with the most sensors or the most automation. It may be the one that quietly allows people to think, work, decide and recover with less unnecessary burden.

Slack is not waste

Why spare cognitive capacity is an operating asset

The proposition

Most organisations understand why they need cash reserves. They understand why a bridge needs engineering tolerances and why a network needs spare capacity to survive a surge. Yet they routinely plan human work as though every available minute of attention should be allocated.

A team with a completely filled calendar can look efficient. It may actually be a team that can no longer respond intelligently when reality changes.

Slack is the reserve capacity that allows a human system to absorb variation, detect error, learn, recover and act when something unexpected matters.

This is not an argument for doing less for its own sake. It is an argument for treating responsiveness and adaptability as part of performance—not as a luxury left over after the schedule has been filled.

1. Why attention changes the economics of capacity

Human work is not a uniform conveyor belt. Different tasks demand different forms of attention, memory, inhibition, judgement, coordination and recovery. Two identical half-hour blocks are not interchangeable if one requires a high-stakes decision after six meetings and the other is routine admin in a quiet room.

Herbert Simon's work on bounded rationality established a central constraint: decisions are made by limited information processors, not all-knowing optimisers. Research on working memory and executive control gives that general insight psychological substance. Organisational attention theory extends it: firms do not act on everything that exists; they act on what their processes and people notice, interpret and elevate.

Now consider what happens when new demands arrive while those systems are fully loaded. They do not simply add onto a neutral blank space. They displace, fragment or delay attention already committed elsewhere. Interruptions create reload costs. Decisions are postponed or simplified. Early warnings are missed. Work is handed to whoever still appears able to carry it.

Overload can therefore create a second-order burden: more checking, rework, coordination, escalation and recovery are needed just to keep the original work moving.

2. The three functions of slack

Shock absorption. Demand changes, people become unavailable and systems fail. Uncommitted capacity prevents every disturbance from becoming a crisis.

Quality of judgement. Good decisions require time to compare, challenge and update. When the entire system is in response mode, the easiest available default can displace the better considered choice.

Learning and adaptation. Maintenance, reflection, improvement and experimentation are often the first activities dropped in overload. Yet they create the very capability needed to reduce future problems.

Slack is therefore not necessarily idle capacity. It is sometimes the option to think before committing.

3. Slack exists at several levels

At the individual level, slack might be a buffer between demanding tasks, an external memory system or a recovery period that prevents one hard day from impairing the next.

At the team level, it might mean fewer simultaneous priorities, named backup roles, time for handoffs and a process for surfacing overload before mistakes multiply.

At the organisational level, it might mean protected investment capacity, simpler reporting, clear decision rights, less decision churn and room to respond to strategic opportunity.

At the institutional level, it might mean public services that do not require citizens to master a miniature bureaucracy merely to receive ordinary support—and frontline systems with enough capacity to detect and correct mistakes.

A crucial fairness question sits across all four: who actually holds the slack, and who has to absorb the overflow? An executive's protected diary may be maintained by an assistant's constant interruption. A firm's 'lean' operation may depend on unpaid family effort, contractors or frontline staff working around the rules. Slack is not distributed fairly merely because aggregate utilisation looks acceptable.

4. The hidden failure of optimisation

A system can be locally efficient and globally brittle. Removing every apparent inefficiency often removes the resources used to recover from unusual events or correct mistaken assumptions.

The paradox is that spare capacity can look wasteful right until it becomes the most valuable resource in the organisation.

This does not mean there is one scientifically established ideal utilisation percentage for all cognitive work. Queueing models can predict sharp delays near saturation under specified assumptions, but human tasks, stochastic demand, organisational networks and recovery do not reduce to a universal '80% rule'. The right level and kind of slack must be tested for the context.

Nor should slack become an excuse for poor operational discipline. Some spare capacity is badly allocated. Some buffers hide delays and unclear accountability. The strategic question is which reserve enables better outcomes, in what conditions, at what cost.

5. Turning the thesis into a design method

A practical cognitive-slack audit starts with six questions:

1. What must this system do reliably? Define the actual outcomes, not just hours or utilisation.
2. Where do demands arrive and accumulate? Identify interruptions, dependencies, decisions, variation and rework.
3. Who pays the invisible cognitive cost? Map remembering, anticipating, checking, switching, translating and recovering.
4. What is the current failure mode? Look for delayed decisions, repeated errors, uncontrolled handoffs, churn or cognitive fatigue.
5. What reserve, rule or redesign might help? Protect capacity, simplify work, externalise memory, improve handoffs or reduce avoidable switching.
6. What evidence would change our mind? Compare outcomes and costs before and after; watch for displaced burden rather than declaring victory from one attractive metric.

This is where Poko Neurostrategy becomes operational. The method asks for an objective, a constraint, a cognitive budget, an explicit trade-off, the lever to change, an operating rule, a likely failure mode and an adaptation trigger.

6. What this means for Poko products

Weekly Reset: reserve time and attention for the week that is actually coming, not the imaginary week in which nothing unexpected happens.

Personal software: preserve a person's task state and next action, reduce unnecessary re-deciding and help them restart after disruption.

Practitioner workflows: evaluate whether a support plan improves function without creating a larger system-maintenance burden.

Enterprise software: reveal decision bottlenecks, handoff churn and repeated attention demands—not as an employee scoring system but as potential work-design problems.

Smart workplaces and furniture: examine whether environments can reduce unnecessary sensory burden, enable transitions and create usable recovery or concentration opportunities.

Wearables and neurotechnology: test whether sensed information adds a decision-relevant benefit beyond simpler, less intrusive methods. If it does not, do not collect it.

7. The research test

A serious research programme cannot simply declare 'slack creates resilience' and find agreeable anecdotes.

The propositions should face rival explanations and measured comparisons. For example:

• Do teams with deliberately protected capacity recover faster from unplanned demand than otherwise similar teams without it?
• Is the advantage driven by fewer interruptions, better documentation, improved autonomy, extra staffing or some combination?
• When does slack improve decision quality, and when is it underused or costly?
• Does reducing a senior leader's apparent workload simply transfer more cognitive load to less powerful people?
• Can behavioural, process and self-reported measures detect early overload without invasive tracking?
• Does a Poko intervention outperform an appropriately chosen low-cost alternative?

The answers may narrow the theory. That is the point.

8. What this means for Poko

The possibility behind Poko is that cognitive capacity and its allocation could become visible operating variables in products, workplaces and organisational decisions.

A company that helps a customer create reliable outcomes with less unnecessary attention cost may create commercial value through fewer failures, better time use, improved retention or higher quality decisions. Those outcomes require evidence; they cannot be assumed simply because the theory is appealing.

As digital systems become more capable of creating demand for human attention, the ability to manage the conditions under which people think may become a larger commercial category.

Poko's bet is not that the world needs another optimisation dashboard. It is that the next generation of productive systems will know when not to consume the human capacity they depend on.

Selected intellectual foundations

This memo synthesises established ideas with Poko's own proposed framing. These sources support relevant components; they do not validate Poko's complete model.

• Simon, H. A. (1955). A behavioral model of rational choice. DOI: 10.2307/1884852.
• Ocasio, W. (1997). Towards an attention-based view of the firm. DOI: 10.1002/(SICI)1097-0266(199707)18:1+<187::AID-SMJ936>3.0.CO;2-K.
• Cowan, N. (2001). The magical number 4 in short-term memory. DOI: 10.1017/S0140525X01003922.
• Demerouti, E., et al. (2001). The job demands–resources model of burnout. DOI: 10.1037/0021-9010.86.3.499.
• Edmondson, A. (1999). Psychological safety and learning behavior in work teams. DOI: 10.2307/2666999.
• Rivkin, J. W., & Siggelkow, N. (2003). Balancing search and stability: Interdependencies among elements of organizational design. DOI: 10.1287/mnsc.49.3.290.12740.
• Bar-Yam, Y. (2004). A mathematical theory of strong emergence using multiscale variety. DOI: 10.1002/cplx.20029.
• Morris, D. (2026). Good People Dumb Systems. Founder-supplied manuscript, especially Parts 2–5 and chapter references. Not independent empirical validation of the Slack thesis.
• Morris, D. (working outline). Towards a Sustainable Systems Model. Founder-supplied conjectural research material.

From strategic attention to cognitive stewardship

A research agenda behind Poko — and what remains to be proved

The question underneath the company

Why do people and organisations repeatedly fail to carry out good intentions—and how much of that failure comes from the design of attention, work, information and decision systems?

There are longstanding literatures that make this question tractable: bounded rationality; executive control and working memory; organisational attention; behavioural strategy; decision architecture; job demands and resources; socio-technical systems; distributed cognition; human factors and resilience.

Dave Morris's contribution is an integrative research direction, connecting those literatures to measurable decisions, functional outcomes and system design at multiple scales.

The academic centre: CEO attention and strategic renewal

Dave's University of Wollongong PhD Research Proposal Review, dated 29 October 2025, is titled Temporal Dynamics of CEO Attention and Decision Architectures after Strategic Renewal.

The proposed study examines whether a relationship between CEOs' communicated attention and the decision architecture described in public company records is associated with the persistence of strategic renewal across time. It considers decision rights, gates, cadence, monitoring, forums and the procedural qualities voice, transparency, reasons and reviewability (VTRR).

The specified method is an event-anchored, filings-only, multiple-case design with roughly a 36-month observation window. Examples used to establish data feasibility include the Alphabet restructuring and Salesforce's acquisition of Slack. The analysis is careful to distinguish what is visible in public documents from the internal neural or causal mechanisms one cannot infer from those documents.

This is a concrete strategic-management study. It does not prove that all organisations are 'brains' in a neurological sense or establish the wider Attention Physics theory.

The five-year proposed arc

The source plan sketches twenty potential papers and five longer empirical streams. These are targets and hypotheses, not publications or committed multi-institutional studies. Scope, funding, ethics, feasibility, data access and scientific results will determine what can actually be undertaken.

The candidate theories

Strategic Bandwidth

A proposed organisational capability construct: how much a firm can meaningfully attend to, process and turn into decisions and actions at one time. The challenge is to operationalise it independently from generic capacity or performance measures and show what it predicts.

Attention–Architecture Fit

A conceptual link between the issues leaders and employees attend to and the processes, rights and routines through which organisations make decisions. This is closest to the formal doctoral centre and established attention-based organisational literature.

Sustainable Systems / the Slack Thesis

A conjecture that systems dependent on bounded processors require load–capacity fit, useful feedback and adequate adaptive slack to remain sustainable over time. Research must specify boundary conditions and discriminate this from related queueing, resilience and job-demands theories.

Shared Network Organisation

A proposed organisational design in which human-scale centres operate as cognitive nodes, each contributing internally and creating external value. The design explicitly treats autonomy, fairness, meaningful work, decision rights, cognitive fit and commercial discipline as architectural variables. It remains a model to be piloted and assessed, not a demonstrated superior universal structure.

Attention Physics

An exploratory framework using attention budgets, event ledgers and cross-scale maps to represent the movement and constraints of attention from persons to teams, organisations and wider networks. Some proposals borrow from conceptual geometry, information theory and quantum cognition. Those mathematical formalisms require operational definitions and independent comparison with simpler competing models. Quantum-like mathematics must not be confused with a proven physical mechanism of thought.

Cognitive Stewardship

A longer-term normative and operational proposal: leaders, professionals and institutions should regard the distribution of cognitive load, attention, agency and decision capability as design and governance responsibilities. This connects to psychological safety, cognitive liberty, administrative burden, human factors and responsible technology.

How research turns into products

Research can influence Poko in four testable ways.

Better models of where difficulty arises: e.g., separate unclear tasks from poor memory support, overloaded schedules, environmental misfit or clinical concerns.

Better interventions: choose, adapt and combine appropriate training, compensatory methods, environmental redesign and professional supports.

Better measures: distinguish outcomes from functional cost, and whether gains remain when conditions change.

Better system design: translate patterns of demands, handoffs, decision rights and recovery into software tools and eventually physical environments.

The path from conceptual paper to product should always include the question: Does this perform better than an appropriate alternative in the real situation?

Scientific discipline, risk and independence

Poko's research philosophy should remain close to the research philosophy: formulate bold hypotheses, invite criticism, identify predictions that could fail, compare with rival accounts, revise rather than protect weak claims and document the evolution.

Important boundaries:

• The existing literature supports many component principles but has not validated Poko's entire proprietary integrated framework.
• A PhD proposal is not a completed thesis or peer-reviewed finding.
• The planned five-year programme is not evidence that any named future studies have started or will be completed.
• Neurotechnology data must not be used to infer individual mental states beyond the evidence; workplace applications require special scrutiny over coercion and surveillance.
• University-related research, company-owned IP, consent, data governance and commercial interests must be separated and documented.

A serious research programme should be willing to be wrong

Possible decisive tests include:

• Does attention–architecture fit predict change persistence beyond conventional strategic or governance indicators?
• Does a 'strategic bandwidth' measure yield reliable predictions after controlling for staff capacity and process design?
• Do geometric or quantum-like attention models outperform simpler statistical, network or queueing models on independent datasets?
• Does redesigning an environment improve functional outcomes and reduce cost for users who actually occupy it?
• Does additional sensor data materially improve a recommendation over low-tech observation and self-report?
• Which interventions help whom, in which circumstances, and with what burdens or unintended effects?

Negative findings would narrow the roadmap rather than invalidate the company's obligation to build useful products.

Explore the source library for the scholarship behind this agenda. The research proposals describe intended work, not completed findings.

The intellectual foundations of Poko

Research and source map behind our work

This is a selective map of scholarly foundations drawn principally from the extensive chapter-by-chapter notes in Dave Morris's 2026 Good People Dumb Systems manuscript, the PhD proposal and Poko's internal research documents. It is not a systematic review, proof of an original theory, or a representation that the source articles have been independently re-analysed for this manifesto. The cited sources support specific components of the argument; Poko's integrated framework and future products require their own evaluation.

1. How minds process and decide

Herbert Simon — bounded rationality. A foundational way to think about decision-making with finite information and limited processing.
Simon, H. A. (1955), A behavioral model of rational choice. DOI 10.2307/1884852.

Nelson Cowan — capacity limits. Reconsidering short-term storage capacity and why apparent competence is not infinite active representation.
Cowan, N. (2001), The magical number 4 in short-term memory. DOI 10.1017/S0140525X01003922.

Matthew Botvinick and colleagues — conflict monitoring. Cognitive mechanisms for noticing and handling competing demands.
Botvinick, M. M., et al. (2001), Conflict monitoring and cognitive control. DOI 10.1037/0033-295X.108.3.624.

Amy Arnsten — stress and prefrontal control. One account of how stress signalling can affect neural systems associated with control.
Arnsten, A. F. T. (2009), Stress signalling pathways that impair prefrontal cortex structure and function. DOI 10.1038/nrn2648.

2. How organisations allocate attention and make decisions

William Ocasio — attention-based view of the firm. Organisational structures influence what decision-makers notice and what firms do.
Ocasio, W. (1997), Towards an attention-based view of the firm. DOI: Publisher record.

Daniel Lovallo, Olivier Sibony and Thomas Powell — decision architecture. Behavioural strategy and the process structures surrounding consequential decisions.
Lovallo, D., Sibony, O., & Powell, T. C. (2017), Behavioral strategy and the strategic decision architecture of the firm. DOI 10.1177/0008125617712256.

George Okhuysen and Beth Bechky — coordination. How responsibility, predictability and shared understanding support collective action.
Okhuysen, G. A., & Bechky, B. A. (2009), Coordination in organizations: An integrative perspective. DOI 10.5465/19416520903047533.

Giovanni Gavetti — behavioural strategy. How cognition and mental representations shape strategic search and action.
Gavetti, G. (2012), Toward a behavioral theory of strategy. DOI 10.1287/orsc.1110.0644.

Richard Nelson and Sidney Winter — organisational routines and change. A foundational evolutionary view of firm capabilities, adaptation and persistence.
Nelson, R. R., & Winter, S. G. (1982), An Evolutionary Theory of Economic Change. Harvard University Press.

3. Human work, teams and design

Pascale Carayon and colleagues — socio-technical work systems. The SEIPS model joins people, technology, tasks and environment in safety-related work-system design.
Carayon, P., et al. (2006), Work system design for patient safety: the SEIPS model. DOI 10.1136/qshc.2005.015842.

Evangelia Demerouti and colleagues — job demands and resources. One empirical foundation for studying the relation between demands, available resources and burnout.
Demerouti, E., et al. (2001), The job demands–resources model of burnout. DOI 10.1037/0021-9010.86.3.499.

Amy Edmondson — psychological safety. Interpersonal conditions and team learning.
Edmondson, A. (1999), Psychological safety and learning behavior in work teams. DOI 10.2307/2666999.

Edwin Hutchins — distributed cognition. Reasoning and cognitive work as activities mediated by social, material and technical environments.
Hutchins, E. (1995), Cognition in the Wild. DOI 10.7551/mitpress/1881.001.0001.

Paul Leonardi — human–technology interaction. How technology affordances and organisational routines mutually reshape work.
Leonardi, P. M. (2011), When flexible routines meet flexible technologies. DOI 10.2307/23043493.

4. Slack, resilience and adaptation

Jan Rivkin and Nicolaj Siggelkow — interdependent design choices. Organisational search and stability are affected by complementary structures, not isolated best practices.
Rivkin, J. W., & Siggelkow, N. (2003), Balancing search and stability. DOI 10.1287/mnsc.49.3.290.12740.

Yaneer Bar-Yam — multiscale variety. A complexity-theoretic source for relating the variety a system can express to the demands at different scales.
Bar-Yam, Y. (2004), A mathematical theory of strong emergence using multiscale variety. DOI 10.1002/cplx.20029.

John Pencavel — working hours and productivity. Evidence relevant to non-linear production costs from longer work hours in the studied setting.
Pencavel, J. (2015), The productivity of working hours. DOI 10.1111/ecoj.12166.

Edward Bowman and Dileep Hurry — options. The strategic value of preserving choices and investing incrementally under uncertainty.
Bowman, E. H., & Hurry, D. (1993), Strategy through the option lens. DOI 10.5465/amr.1993.9402210157.

5. Power, public systems and cognitive liberty

Pamela Herd and Donald Moynihan — administrative burden. Learning, compliance and psychological costs imposed on people by institutions.
Herd, P., & Moynihan, D. P. (2018), Administrative Burden: Policymaking by Other Means. DOI 10.7758/9781610448789.

Marcello Ienca and Roberto Andorno — neurorights. The ethical debate around privacy, identity, freedom and emerging neurotechnologies.
Ienca, M., & Andorno, R. (2017), Towards new human rights in the age of neuroscience and neurotechnology. DOI 10.1186/s40504-017-0050-1.

Michael Power — audit culture and risk management. A perspective on how formal controls can themselves impose burdens or create illusions of safety.
Power, M. (2007), Organized Uncertainty: Designing a World of Risk Management. DOI 10.1093/oso/9780199253944.001.0001.

6. Mathematical models to investigate, not declare proved

Busemeyer and Bruza — quantum cognition as mathematical modelling. A non-classical probability framework for certain decision phenomena; it does not establish literal quantum mechanics as the basis of organisational thought.
Busemeyer, J. R., & Bruza, P. D. (2012), Quantum Models of Cognition and Decision. DOI 10.1017/CBO9780511997716.

Gärdenfors — conceptual spaces. A geometric approach to representation and concepts.
Gärdenfors, P. (2000), Conceptual Spaces: The Geometry of Thought. MIT Press.

Kriegeskorte and Kievit — representational geometry. Linking cognition, neural representations and computational models of representational similarity.
Kriegeskorte, N., & Kievit, R. A. (2013), Representational geometry: Integrating cognition, computation, and the brain. DOI 10.1016/j.tics.2013.06.007.

Poko’s own work

Dave’s Good People Dumb Systems manuscript, doctoral proposal, and working papers connect these fields into Poko’s research direction. They are a synthesis and proposed programme of work. The cited scholarship supports particular components; it does not establish Poko’s complete model or the effectiveness of a product.

Weekly Reset evidence register · Poko claims standards · Dave’s public biography