CHISOKULAB| The Control Room
Governance roadmap

What the first 90 days of AI Governance looks like

A governance deployment roadmap built on AEVA — designed to move an enterprise from AI governance gap to structured, board-visible governance in 90 days without disrupting delivery velocity.

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This plan adapts per engagement. The structure is consistent. The specifics change based on your organisation's AI maturity, DCI profile, industry, and regulatory context.

🔍DAYS 1–30

Discovery and AI Governance Baseline

Objectives

What teams execute in this window — the path from insight to operating governance.

Execution lane
  1. 1

    Conduct full AI tool inventory across all departments — surfacing sanctioned and unsanctioned usage simultaneously

  2. 2

    Run stakeholder interviews at three levels: C-suite (strategic risk appetite), team leads (delivery reality), individual contributors (actual usage patterns)

  3. 3

    Score the organisation's DCI profile across active delivery workstreams — establishing where human judgment is genuinely irreplaceable vs where AI can execute safely

  4. 4

    Identify the three highest-priority Shadow AI risk areas

  5. 5

    Assess existing policies (if any) against actual usage patterns — the gap is always larger than leadership expects

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Key deliverable

AI Governance Baseline Report

What you walk away with

  • 1Single board-ready document — executives align on one authoritative snapshot
  • 2Current AI tool usage & risk tier distribution mapped end-to-end
  • 3Shadow AI exposure surfaced with evidence, not anecdotes
  • 4Top three governance priorities ranked for immediate action
  • 5DCI profile baseline — where human judgment is irreplaceable vs where AI can execute safely
  • 6Most organisations do not have this artefact before AEVA — it is the foundation everything else builds on
⚙️DAYS 31–60

Governance Layer Implementation

Objectives

What teams execute in this window — the path from insight to operating governance.

Execution lane
  1. 1

    Deploy Precision Backlog Refinement into active delivery teams — introducing Functional-Technical AC Taxonomy and DCI scoring

  2. 2

    Launch Increment Delivery Charter across all active Increments — sanctioned tools, data classification, output accountability

  3. 3

    Introduce DataRetro as replacement for existing sprint retrospectives — beginning the shift from opinion-based to evidence-based improvement

  4. 4

    Establish Feature Clearance gates — Gate 1 (technical completion + AI Output Validator sign-off) and Gate 2 (governance log, max 10 minutes)

  5. 5

    Build first version of AI Governance Dashboard — board-ready, one page, showing risk exposure and mitigation status

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Key deliverable

AEVA Governance Framework v1

What you walk away with

  • 1Increment Delivery Charter — sanctioned tools, data boundaries, output accountability per Increment
  • 2Feature Clearance protocol — both gates defined; Gate 2 capped at 10 minutes
  • 3DCI scoring guide — consistent estimation & tiering across teams
  • 4DataRetro ceremony design — evidence-first retrospectives
  • 5AI tool registry — live inventory tied to risk & ownership
  • 6The complete governance infrastructure for your delivery environment — not slides, operating machinery
📈DAYS 61–90

Scale, Board Reporting, and Cadence

Objectives

What teams execute in this window — the path from insight to operating governance.

Execution lane
  1. 1

    Extend AEVA governance framework to all delivery teams — not just pilot workstreams

  2. 2

    Produce first board-level AI Governance Report: risk exposure, mitigation actions taken, DCI calibration data, Shadow AI incident rate, governance compliance rate

  3. 3

    Address Identity Crisis signals surfaced in Days 31-60 — senior practitioners showing resistance patterns get the New Crown reframe proactively

  4. 4

    Connect AI tool usage data to regulatory requirements as applicable (DPDP for India, GDPR for EU/UK, EU AI Act for European operations)

  5. 5

    Define ongoing governance cadence — monthly AI Governance Dashboard, quarterly DCI calibration review, annual policy refresh

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Key deliverable

AI Governance Board Report

What you walk away with

  • 1One page — designed for board attention, not binder volume
  • 2Risk exposure across all teams in one view
  • 3Mitigation actions completed & traceable
  • 4Governance compliance rates & forward cadence spelled out
  • 5Leadership sees the complete picture — many for the first time

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