MosaicDM says enterprise AI governance is far behind adoption

MosaicDM released its inaugural Fracture Index 2026, finding a 65-point gap between the authority organisations give AI and the infrastructure they have to verify its decisions. The report sets a global baseline of 35 out of 100 for enterprise AI correctness infrastructure and says governance is not keeping pace with AI use.

Why it matters: - MosaicDM's research frames AI risk as a governance problem, not just a performance problem. - The report says enterprises are giving AI more authority faster than they are building systems to verify whether AI decisions are correct. - That gap matters because AI can look effective on benchmarks and still make wrong decisions in consequential real-world cases.

What happened: - MosaicDM released the inaugural Fracture Index 2026 on Oct. 7, 2026. - The report measures the gap between authority given to AI systems and the infrastructure built to verify those systems' decisions. - MosaicDM set a global baseline score of 35 out of 100 for enterprise AI correctness infrastructure. - The research synthesizes 11 industry studies from 2024 to 2026. - The studies reflect more than 18,000 business leaders, executives and governance professionals across 24 countries. - The report defines the remaining gap as "the fracture."

The details: - The index scores five dimensions of correctness infrastructure. - Authority Boundaries scored 8 out of 20. - Liability Assignment scored 6 out of 20. - Output Verification scored 9 out of 20. - Governance Effectiveness scored 5 out of 20. - Correctness Awareness scored 7 out of 20. - Governance Effectiveness was the lowest-rated dimension in the 2026 index. - The report says 88% of organizations use AI in at least one business function. - Only 8% report comprehensive AI governance. - More than one-third of organizations say they cannot shut down a rogue AI agent. - Reported AI incidents rose 55% in a single year. - Mark Jennings-Bates, MosaicDM co-founder and COO, said many organizations take a probabilistic view of governance and treat it as "probably fine." - Mark Acosta, MosaicDM co-founder, said AI systems can perform as designed and still leave organizations exposed. - MosaicDM's Dimensional Intelligence is described as a deterministic correctness and governance architecture for consequential AI environments. - MosaicDM says Dimensional Intelligence helps organizations define authority, verify outputs, enforce constraints and preserve an auditable record of consequential decisions. - MosaicDM works across enterprise, government and regulated environments where AI performance alone is not enough.

Between the lines: - The report is pushing boards and executive teams to treat AI governance as a testable control system, not a policy exercise. - The 35 out of 100 baseline suggests current enterprise controls are far from matching the level of trust and authority being assigned to AI. - The 65-point gap is a blunt signal that AI adoption may be outpacing oversight in a way that creates operational and legal exposure.

What's next: - Year 2 of the Fracture Index will assess participating organizations directly across 20 indicators. - Each of the five dimensions will include four indicators in the next phase. - MosaicDM says the next step will let enterprises build their own Fracture Index, identify weaknesses and track whether the fracture is closing over time. - The next annual Fracture Index is scheduled for October 2027. - The full report is available here. - MosaicDM also points readers to its LinkedIn profile.