Governance-Grade Diagnostic Interventions

    Each PeopleNotTech engagement is designed to surface structural execution risk, quantify institutional exposure, and restore decision inspectability across human and technical systems.

    These are not workshops.

    They are structured diagnostic and instrumentation engagements designed for executive accountability.

    1
    Human Risk Diagnostic for AI and Transformation
    Four-week executive inspection engagement

    A focused investigation designed to proactively identify and map risk hotspots within your AI and transformation initiatives. This diagnostic reveals potential failure patterns before they escalate, providing clear insights into human behavioral and organizational vulnerabilities.

    Delivered

    • Human Debt analysis & hotspot map
    • Behavioral risk assessment
    • Actionable leadership recommendations
    • Board-ready reporting for strategic oversight
    Investment

    €25k to €40k

    2
    Human Risk Governance Layer
    Ongoing governance-grade human risk instrumentation

    Continuous oversight and real-time telemetry of human risk factors across your organization. This layer is for leaders committed to preventing systemic failure and fostering a culture of proactive risk management, rather than merely reacting to crises.

    Delivered

    • 24/7 continuous dashboard access and Playbook usage
    • Quarterly governance reports & risk alerts
    • Change response modeling & AI-generated insights
    • Dedicated advisory support for strategic implementation
    Investment

    Annual subscription

    3
    AI-Assisted Technical Debt Dismantling (Patent Pending)
    Structured AI-assisted reverse-engineering of opaque systems

    A patent-pending methodology that uses controlled AI input generation, observed-output behavioural fingerprinting, and derived specification artefacts to reverse-engineer undocumented or opaque systems.

    This replaces undocumented behaviour with inspectable, machine-readable specification — structurally reducing Technical Debt rather than merely cataloguing it.

    Delivered

    • Controlled AI input generation
    • Multi-variable behavioural fingerprints
    • Derived machine-readable specifications
    • Technical Debt Reduction Artefacts
    • Drift detection mechanisms
    Investment

    Scoped engagement

    4
    Human-AI Execution Pods (Patent Pending)
    Adaptive Human-AI Execution Architecture in Live AI Delivery

    Patent-pending execution loop instrumentation applied within structured human-AI delivery units.

    This system dynamically stabilises mixed human-AI environments under velocity through topology modulation, authority balancing, and inspection escalation.

    Delivered

    • Topology modulation of human-AI authority boundaries
    • Dynamic stabilisation of decision pathways
    • Inspection escalation mechanisms
    • Continuous calibration of trust, autonomy, and accountability
    Investment

    €180k to €250k

    5
    Tech Debt Assessment & Map
    Governance-grade technical execution risk inspection and friction mapping

    A comprehensive assessment that quantifies technical debt as a governance-grade execution capacity signal, maps friction hotspots across delivery systems, and produces ROI-ranked intervention backlogs.

    Delivered

    • Tech Debt Score
    • Changeability analysis (lead time, coupling, complexity)
    • Friction Map — systems taxing delivery disproportionately
    • ROI-ranked Intervention Backlog
    • Board/audit-ready reporting
    Investment

    Scoped engagement

    Institutional Deployment Model

    All PeopleNotTech solutions are:

    Architected by the founders
    Deployed by trained institutional execution teams
    Embedded within client AI, engineering, and transformation programmes
    Governed through formal reporting and accountability channels

    This is not consulting. It is execution infrastructure delivered at institutional scale.

    What Changes When Organisations Use PeopleNotTech

    Earlier Risk Surfacing

    Execution risks detected months before impact

    Faster Intervention

    Leadership can act before failure sets in

    Reduced Silent Failure

    Non-observable issues brought into the open

    Clearer Governance

    Conversations grounded in data, not guesswork

    Confident Scaling

    Greater confidence in scale decisions

    Team Resilience

    Psychological safety and trust metrics improvement

    This is not about sentiment. It is about preventing avoidable failure.

    How Leaders Evaluate the ROI

    Executives compare the cost of visibility with the cost of late discovery.

    Proactive
    Cost of Visibility

    Investing in proactive measures for early detection and comprehensive governance leads to informed decision-making and prevented failures.

    Reactive
    Cost of Late Discovery
    • Sunk transformation spend
    • Rework and project delays
    • Leadership credibility loss
    • Regulatory & reputational exposure

    Preventing a single late-stage failure typically covers the investment.

    What Leaders Say

    "We identified and addressed human risk patterns months before delivery degradation. The diagnostic gave us a structured view into dynamics we had no previous visibility of."

    — CIO, Global Financial Services

    "The governance layer changed how we make decisions about transformation programmes. We now operate with measurable human risk signals rather than assumptions."

    — COO, Technology Sector

    "Before PeopleNotTech, human risks were abstract and surfaced too late. Now we have concrete, data-driven insight that supports executive accountability based on operational realities."

    — Chief Risk Officer, Fortune 500 Company

    Next Step

    Choose your entry point based on where you see the most risk.