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GovernanceIQ

Turn AI governance into an operating practice.

Connect AI ownership, risk, vendors, controls, reviews, and evidence in one accountable lifecycle.

Bring the governance record together.

AI inventory

Maintain a current record of AI systems, use cases, owners, vendors, data context, and lifecycle state.

Risk and controls

Connect identified risk to accountable treatment, control evidence, exceptions, and review cadence.

Vendor governance

Create consistent intake, due diligence, ownership, renewal, and exit decisions for third-party AI.

Obligations and evidence

Map policies, standards, and applicable obligations to operating records without implying automatic compliance.

Human oversight

Make approval authority, escalation, suspension, and material review visible in the workflow.

Executive visibility

Give leaders a portfolio view of ownership, exposure, evidence, exceptions, and unresolved decisions.

Trust boundary

GovernanceIQ supports governance work. It does not replace accountable judgment.

Readiness mappings, evidence summaries, and workflow states support oversight and preparation. They are not legal advice, audit opinions, certifications, security authorizations, or guaranteed compliance outcomes.

Bring the AI governance work that needs an accountable operating record.

Start with the systems, owners, risks, vendors, controls, reviews, or evidence that remain fragmented.

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GovernanceIQ | Govern enterprise AI