Resources → TTP-05
From Trust to Proof: AI Governance Needs Runtime Evidence
The shift from trust to proof
In 2023, AI governance was largely a question of trust. Could organisations trust the model? Could they trust the deployment process? Trust was asserted: through frameworks, principles, ethics statements, and methodology documents.
In 2026, trust is no longer enough. The question has hardened: can we prove what the AI did, why it did it, and under which guardrails?
The shift matters because trust is asserted; proof is inspected. Trust passes the boardroom; proof passes the insurance underwriter, the regulator, the litigation counterparty, and the audit committee.
"From trust to proof."
Forcing function 1 — Insurance carrier evidence requirements
Verisk filed General Liability AI exclusions (CG 40 47, CG 40 48, CG 35 08) effective January 2026. Berkley introduced absolute AI exclusions for D&O / E&O / Fiduciary cover. Armilla underwrites AI E&O affirmatively.
Carriers do not need to wait for the EU AI Act to come fully into force; they can write evidence requirements into next quarter's renewals.
Forcing function 2 — EU AI Act enforcement
Many high-risk-system obligations, including Article 12 record-keeping, apply from 2 August 2026. Penalty ranges include up to €35M or 7% of global annual turnover for prohibited practices.
Forcing function 3 — ISO 42001 certification market growth
By April 2026, accredited certification bodies include BSI, Schellman, A-LIGN, TÜV SÜD, Bureau Veritas, SGS, and Intertek. The buyers are organisations whose customers ask for ISO 42001 attestation as a condition of contract.
From controlled use to approved operation
Most agentic AI deployments today are stuck in controlled use, not because of capability, but because risk, audit, and compliance teams cannot yet prove how the agent acted.
"Most agents aren't stuck because they can't act. They're stuck because risk, audit and compliance can't yet prove how they acted."
Gartner expects over 40% of agentic AI projects will be cancelled by end of 2027 due to escalating costs, unclear value, or inadequate risk controls. The runtime evidence layer is what unblocks procurement.
Deeper reading
- Agent Observability vs Verification: What's the Difference
- AI + Human Collaboration: Who Actually Did the Work?
- How to Verify That Your AI Agents Are Actually Doing the Work You're Billed For
See the assurance partner programme →
From trust to proof. From controlled use to approved operation.
TimeToPoint provides evidence, not certification. Certification, underwriting, and regulatory determinations remain with accredited parties.