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I
ACT I

AI Governance That Ships

Governance built for deterministic software can't evaluate probabilistic systems — so programs stall in pilot, or ship with no way to catch drift.

THE PROBLEM

Review boards ask deterministic questions of probabilistic systems. Acceptance criteria don't exist, so nothing passes — or everything does. Programs either stall in pilot purgatory or ship blind, with no mechanism to catch drift in production.

THE STAKES

With the EU AI Act and sector regulations raising the bar, the governance gap is no longer an internal inefficiency — it's a compliance liability with real exposure attached.

THE APPROACH — EVALUATION-BACKED GOVERNANCE
Measurable acceptance criteria

Evaluation suites that define what "good enough to ship" means — quantitatively, before the build.

Clear decision rights

Who approves, who owns risk, who pulls the plug — decided once, not renegotiated per release.

Drift monitoring

Production behavior tracked against the acceptance baseline, so degradation is caught — not discovered.

Compliance designed in

EU AI Act and sector obligations mapped into the operating model from day one — not retrofitted under audit.

AIGP certified (IAPP) — AI Governance Professional
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Vikram Raju
Vikram Raju
FOUNDER & PRINCIPAL, THE HIVE MIND HQ
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