Operating modelRelevance · high2026-07-29
Schellman newsroom·6 min read
New AI governance research finds enterprises are not audit‑ready for upcoming standards
TechnologyFinancial ServicesHealthcareManufacturingProfessional Services
Schellman’s 2026 State of AI Governance report concludes that many enterprises significantly overestimate their AI governance maturity, with a widening gap between perceived readiness and the controls required for ISO 42001 and emerging regulatory expectations.
Why it matters for leaders
For a technology strategy leader planning a first AI MVP, this is a signal that boards and auditors will move quickly from curiosity to evidence. Your roadmap needs an explicit stream for audit‑grade logging, approvals, and model lifecycle controls, not just feature delivery.
Opportunity signal
Use your first AI MVP as the proving ground for an audit‑ready operating model, positioning your tech function as the owner of enterprise AI standards rather than a point solution team.
highRisk signal
If pilots scale without audit‑grade logs, approvals, and model oversight, retrofitting controls later will be expensive and may force you to pause live AI services under regulatory or internal audit pressure.
high