Shared from Saga · AI signal
Operating modelRelevance · high2026-07-29
Schellman·7 min read

Most enterprises are not AI‑audit ready despite high confidence

TechnologyFinancial ServicesHealthcarePublic Sector

Schellman’s 2026 State of AI Governance report finds a sharp gap between executives’ self‑reported AI readiness and the maturity of their governance programs, noting that many organizations have policies on paper but lack operational oversight, accountability, or systematic third‑party risk management; only about a third of boards regularly discuss third‑party AI risk.

Why it matters for leaders
You can use your first AI MVP to force clarity: define owners, decision rights, and minimum controls not only for in‑house models but also for embedded AI capabilities in SaaS and vendor platforms the business already uses.
Opportunity signal

Stand up a lightweight AI product risk review for every MVP and vendor integration, with clear thresholds for human approval, logging, and rollback, so you can demonstrate operational governance when customers or auditors come asking.

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Risk signal

Ignoring vendor‑embedded AI means your organization may already be exposed to AI‑driven failures, bias, or data leakage outside your current governance scope, leaving you accountable without visibility.

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