AI Sentri
    Control Layer · AI Governance

    AI governance you can evidence, not just describe.

    Define ownership, apply controls, and manage AI risk with confidence.

    AI without governance creates risk. AI Sentri gives you a structured approach to ownership, controls, and oversight so you can manage AI safely and effectively.

    Governance Score

    59%

    Owner Assigned

    70%

    Controls Defined

    40%

    Reviewed Recently

    0%

    High-Risk Systems

    4

    Governance Hotspots

    Governance Structure

    The org-level scaffolding behind every AI decision.

    Governance Committee

    Last met: 12 Mar 2025

    • AI Governance ChairC. Williams
    • Legal LeadP. Dubois
    • Data Protection OfficerN. Rahman
    • Risk LeadS. Garcia
    • Ethics AdvisorDr. K. Mensah

    Policies & Standards

    3 active · 1 missing

    • AI Acceptable Use Policy
      Active
    • AI Risk Management Standard
      Active
    • Model Approval & Sign-Off
      Draft
    • Incident Response (AI)
      Active
    • Vendor AI Due Diligence
      Missing

    Risk Framework

    Classification model defined

    Low
    Limited impact, low autonomy
    Medium
    Material business impact
    High
    Regulated / customer-facing

    Governance Roadmap

    4 of 7 milestones complete

    • Inventory baseline
    • Policies approved
    • Committee chartered
    • Controls rollout (Q2)
    • EU AI Act readiness

    Per-System Governance

    Ownership, controls, risk and oversight — at a glance.

    SystemOwnerGovernanceRiskControlsLast Review
    Customer Churn PredictorA. Patel
    86%
    Medium
    Defined
    		Mar 14, 2025
    Sales Lead ScoringM. Chen
    71%
    Low
    Partial
    		Feb 2, 2025
    Marketing Copy GeneratorUnassigned
    38%
    Medium
    Missing
    		Sep 20, 2024
    Resume Screening AssistantL. Schmidt
    42%
    High
    Partial
    		Dec 8, 2024
    Internal Knowledge ChatbotR. Okafor
    74%
    Low
    Defined
    		Mar 22, 2025
    Fraud Detection ModelS. Garcia
    88%
    High
    Defined
    		Feb 28, 2025
    Demand ForecastingJ. Becker
    55%
    Medium
    Partial
    		Nov 15, 2024
    Pricing Optimisation EngineUnassigned
    31%
    High
    Missing
    		Aug 5, 2024
    Document Summarisation ToolE. Rossi
    79%
    Low
    Defined
    		Mar 19, 2025
    Shadow GPT-4 Use (Marketing)Unassigned
    22%
    High
    Missing
    		Jul 12, 2024

    Controls Library

    Reusable, standardised governance controls applied across systems.

    Human oversight required
    70% coverage
    Approval required before deployment
    55% coverage
    Continuous monitoring required
    40% coverage
    Data minimisation applied
    60% coverage
    Bias testing performed
    35% coverage
    Documented model logic
    65% coverage

    Ownership & Accountability

    Who owns what — by department.

    • Marketing
      0/2 owned
      0%
    • Commercial
      0/1 owned
      0%
    • Customer
      1/1 owned
      100%
    • Sales
      1/1 owned
      100%
    • HR
      1/1 owned
      100%
    • IT
      1/1 owned
      100%
    • Risk
      1/1 owned
      100%
    • Operations
      1/1 owned
      100%
    • Legal
      1/1 owned
      100%

    Governance isn't optional

    Define ownership, apply controls, and ensure every AI system is properly managed.

    AI Sentri is an aid, not an assurance. It helps you structure your thinking, record what you have done and see where the gaps are. It does not make you compliant, and nothing it produces is legal advice or a regulatory opinion. Scores are indicative. Responsibility for compliance stays with your organisation, and decisions with legal consequences should be taken with a qualified adviser.

    Before you start

    Questions about AI governance

    What does AI governance actually involve?

    Knowing which AI systems you run, deciding who is accountable for each, setting controls proportionate to the risk, and being able to evidence all three. In practice that means an inventory, named owners, approval and oversight steps, a risk register, incident logging, and policies people can actually find. AI Sentri holds all of it against the same set of systems, so the parts stay connected.

    How is this different from our existing GRC platform?

    General GRC platforms were not built for AI-specific obligations: risk classification under the EU AI Act, model drift, human oversight, kill-switches, shadow AI, or per-system DPIA status. AI Sentri covers that layer specifically and exports evidence into the GRC process you already run, rather than asking you to replace it.

    How is the governance score calculated?

    From the evidence each system actually carries — legal basis, DPIA, human oversight, bias and drift controls, kill-switch and security posture — rather than from a self-assessment questionnaire. Some controls are hard-fail and cap the score regardless of everything else, so a system missing something fundamental cannot look healthy because it scores well elsewhere.

    Who needs to be involved to make this work?

    Less than most organisations expect. One person can build the initial inventory; system owners fill in the detail for what they run; and the governance committee reviews the scores. AI Sentri assigns tasks to named owners with target dates, so the work is distributed rather than landing on whoever set the tool up.

    What does a kill-switch mean in this context?

    A documented, tested way to stop an AI system quickly if it starts behaving in a way you cannot accept. It matters more than it sounds: it is one of the first things asked about after an incident, and one of the least likely to exist. AI Sentri records whether one exists per system and treats its absence as a material gap.

    More in the full FAQ, or ask us directly.

    Your Privacy Matters

    We use cookies to provide essential functionality, analyse usage, and improve your experience. Under GDPR, you have the right to choose which cookies you allow. Strictly necessary cookies cannot be disabled. Privacy Policy