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Service 02 / 05 · AI Governance Architecture

Make the next AI decision clear, accountable and reviewable.

A policy cannot decide whether an AI use case should proceed. ISOVIA FZCO is a Dubai AI company helping teams assess its purpose, consequences, data and technology, and decide who can approve it. This service establishes the governance design. Implementation is agreed separately.

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Use case, risk and consequence, authority and oversight, evidence: the approved ISOVIA governance decision diagram.
From a priority use case to a clearer decision route. The five stages below show how people make and record the key decisions. Scroll the diagram horizontally to see the full flow.

Why this decision matters

The problem behind the brief.

AI programmes can have policies without a clear route from a proposed use case to an accountable decision. Leaders may not know who can approve the use case, how the risk changes the decision, where human judgement remains essential or what evidence would support a control in practice.

Illustrative situations · not client case studies

  • 01A pilot needs a route to approval but business, risk and technology teams disagree on authority.
  • 02An AI-assisted decision affects people and needs explicit human review and escalation.
  • 03A board asks what evidence would justify the next deployment stage.

Five stages · tailored to the work

How the decision moves forward.

We examine the actual AI system and workflow rather than applying a generic compliance checklist. AI-assisted mapping can help trace use cases, controls and evidence gaps; human risk owners test each inference and retain approval. Aegis names the approach, not an automatic compliance engine.

  1. 01 / 05

    Frame the intended use

    Know what is being decided and why.

    Define outcome, system boundary, affected people and dependencies.

    Decision to be made
    Is the use case defined enough to assess?
    Accountable owner
    Executive sponsor and business owner
    Possible deliverable
    Use-case brief with assumptions and open questions.

  2. 02 / 05

    Map consequence and risk

    Let context drive attention.

    Examine impacts and potentially applicable internal and external requirements.

    Decision to be made
    What risk posture and escalation is needed?
    Accountable owner
    Risk owner with business owner
    Possible deliverable
    Contextual risk assessment and mitigation choices.

  3. 03 / 05

    Design authority and oversight

    Define who can decide, challenge or stop the work.

    Map approvals, review points, intervention, escalation and supplier accountabilities.

    Decision to be made
    Has responsibility actually been accepted?
    Accountable owner
    Designated approval authority
    Possible deliverable
    Decision-rights and human-oversight map.

  4. 04 / 05

    Translate policy into controls

    Turn principles into workable controls.

    Select proportionate testing, access, documentation, monitoring, incident and change controls.

    Decision to be made
    Are controls adequate, feasible and owned?
    Accountable owner
    Control owner with technology/data leads
    Possible deliverable
    Control design with ownership and dependencies.

  5. 05 / 05

    Build the evidence route

    Create a record for approval and later review.

    Specify rationale, retained records, review cadence and triggers for reassessment.

    Decision to be made
    Approve, hold, revise or escalate on a record?
    Accountable owner
    Accountable executive or governance forum
    Possible deliverable
    Policy-to-control traceability and decision-ready evidence pack.

Deliverables agreed with you

What you receive.

  • Decision-rights and human-oversight map.
  • Contextual risk assessment with mitigation and control choices.
  • Policy-to-control traceability and practical evidence design.

We agree the deliverables, timing, access and fees before work begins. The items listed here are possible outputs, not a fixed package.

What the work helps you do

Decisions you can act on.

01A clearer approval and escalation route.

02Risk review focused on context and useful evidence.

03Delivery teams who know what they must demonstrate to proceed.

This is governance design, not legal advice, counsel's legal opinion, independent assurance, certification or an automatic compliance outcome. Control implementation and any software capability require a separate scope and verification.

Working together

Start with one decision.

Start with one use case requiring a real approval. Regulatory applicability is evaluated in context with qualified legal advice; no badge or certification is implied.

Bring one AI use case. Let us identify who approves it and what evidence the next decision demands.

Discuss a use case

See how we work together

People and preparation

Executive sponsor

Board sponsor, Chief Risk Officer, CIO or accountable programme executive.

Working participants

Business owner, risk and legal advisers, privacy, data, security, technology, affected operators and approval bodies as applicable.

What the client brings

  • A material AI use case, intended users and potential consequences.
  • Existing policies, system design, vendors and data flows.
  • Relevant risk owners and qualified counsel for legal interpretation.

Do not send confidential or production data through the public contact form. Detailed access is agreed in the engagement.

Governance throughout the work

How Aegis supports the work.

Where useful, Aegis helps connect the use case to its accountable owner, risks, policies, controls, human oversight and evidence. Supporting software or platform components are assessed and demonstrated only in an agreed engagement; this page makes no claim of automatic classification, monitoring or compliance. Explore the approach.

How the services connect.

Start with the service that answers your immediate question. We will agree any further work only where the evidence shows a need.

Related service

AI Strategy & Roadmapping

Choose and sequence opportunities before investing in governance design.

Explore Related service

Technology & Vendor Advisory

Test supplier data-control and exit conditions behind the governed use case.

Explore Related service

Data Strategy & Readiness

Check whether information is fit and accountable enough for a governed decision.

Explore Related service

Operating Model & Change

Define operational challenge, roles and handover after approval.

Explore
All five services

Common questions

Before we begin.

Is this a compliance assessment?

No. It is a scoped governance architecture centred on a use case. Legal interpretation, formal assessment and certification are outside the initial scope.

Does every use case need the same controls?

No. Controls depend on purpose, consequence, affected people, data, capability and applicable requirements.

Can we start before choosing a supplier?

Yes. Governance can clarify criteria, accountability and evidence the eventual supplier must support.

What happens after the design?

The client decides whether to approve, revise, pause, escalate or move actions into delivery. Additional ISOVIA work is separately scoped.

Editorial review: October 2026. Regulatory applicability should be checked for the individual use case with qualified advisers.

Which AI decision needs to move next?

Start with one use case and the blocked decision. We will establish whether a focused, separately scoped engagement is the right next step.

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