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Runtime governance infrastructure

CISOGRCPlatform engAI policy opsInternal audit

Agentic governance workflows
with AI policy at dispatch

Witness AI governs autonomous and semi-autonomous agent workflows — enforce AI policy on every irreversible step, not just at session start. Runtime BLOCK rules, human approve gates, and cryptographically signed receipts prove what ran.

IntakePolicy evalHuman gateExecuteAuditProve
Witness AI · Agentic Governance Control Plane
Live
4Active agent workflows
2Policy ESCALATE
<5mReplay proof

Agent roster — policy gates

  • research-agentpolicyALLOW
  • outbound-agenthuman gateESCALATE
  • tool-call-agentai-policyBLOCK
  • publish-agentapproveALLOW
40%+Agentic AI projects at cancellation risk by 20271
GovernDecision boundaries + audit at scale2
<5mLive replay proof · product spec8
Live factory signals
Valid YES
Governance events today
Session gate
ship-local Deploy lane

Injected from disk on build · · not certification

Institutional alignment

Why runtime AI policy is now board-level

Independent research on agentic AI adoption and governance gaps — cited on our Sources page. Product metrics labeled separately.

Shadow modeParallel to your stack — zero production cutover
Metadata-only exportSIEM-ready governance metadata — not full prompt dumps
Fail-closed BLOCKRed-line violations stopped at dispatch — not after the fact
Every action

Session-start prompts and static acceptable-use docs cannot govern tool calls at dispatch. Buyers expect request-level AI policy enforcement on every irreversible agent step — not after the fact.

[10] NIST (2024). Generative AI Profile — operational controls for generative and agentic systems. Primary source ↗
Govern

Enterprises must define agent autonomy levels, decision boundaries, behavior monitoring, and audit mechanisms — with policies formalized for development, deployment, and usage.

[2] McKinsey & Company (2025). Seizing the agentic AI advantage. Primary source ↗
Prove

Governance must answer: Can we reconstruct agent decisions end-to-end? Do we have rollback when something goes wrong? — proof of control, not policy slides.

[3] McKinsey (2025). Trust in the age of agents. Primary source ↗

Framework alignment maps

Alignment maps only · not certification

NIST AI RMF 1.0Maps to GOVERN · MEASURE
ISO/IEC 42001:2023Maps to Clause 6 · 8
EU AI ActMaps to Art. 12 · 14
OWASP LLM Top 10Maps to LLM06 · LLM08
MITRE ATLASAgent threat taxonomy
NIST GenAI ProfileGenerative + agentic

Built for teams governing agent workflows

CISO & GRC teams Platform engineering AI policy operations Internal audit Agentic workflow owners

Educational framework mapping only — not legal advice, certification, or regulatory approval. Full crosswalk on Sources.

Agent fleets run fast. AI policy still lives in slide decks.

Ungoverned agent actions

Agents call tools, send messages, and publish output without a durable policy check at the moment of action — only after something goes wrong.

Policy at session start only

Acceptable-use docs and system prompts are not runtime governance. McKinsey calls for decision boundaries and audit mechanisms at scale — enforced at dispatch on every irreversible step.

McKinsey agentic AI governance · ref [2]

No proof of enforcement

Chat logs are not an audit trail. Witness AI records ALLOW, BLOCK, and ESCALATE with signed receipts you can replay.

WitnessBC portfolio

WBC-FLOW — publish with sourcing, corrections, and proof

High-stakes civic and institutional updates need documented sourcing, visible corrections, and tamper-evident receipts — not automated pay-to-publish.

W-P1

WBC-FLOW project

NGO, newsroom, or civic team — tip → approve → publish loop with Proof Lab evidence.

CAD $2,500–6,000 · shadow mode first

W-P2

WBC-OPS retainer

Ongoing governance ops — corrections discipline, receipt archive, escalation playbooks.

CAD $1,500–3,500/mo · 3-month minimum

WitnessBC only — Proof Lab · Civic toolkits · receipts on disk

Witness AI provides educational AI policy templates and governance workflow tooling — not legal, compliance, or certification services. Market statistics cite independent third-party research. Framework alignment is illustrative mapping only.