In 2026, 93% of organizations report improved ability to move AI into production, yet 57% say returns aren’t keeping pace with investment.
Enterprise AI has matured, but not in the way organizations expected. Models are moving into production faster than ever. But they’re not consistently reaching business users or influencing decisions.
The result is a widening gap between AI capability and real-world impact.
AI success is measured at the wrong point.
57% say AI returns are growing at the same pace or slower than investment.
Most organizations measure deployment and model performance, but real value only happens when AI drives decisions in business workflows.
AI is in production, but not in use.
1 in 10 organizations have no direct access to AI insights for business users.
Most teams still rely on reports, dashboards, or data science requests to access AI outputs, slowing decisions and limiting real impact.
AI is scaling faster than it’s being governed.
41% of organizations are deploying or scaling agentic AI without governance in place.
As AI systems take on more responsibility, missing auditability, oversight, and control creates growing operational and regulatory risk.
One of the most surprising findings in the report:
The most regulated industries, like financial services, are moving the fastest in AI.
75% of organizations with strong governance report improved AI delivery
Organizations that invested early in compliance infrastructure, auditability, and lifecycle governance are now scaling AI faster, and more safely, than their peers.
58% say compliance review cycles slow the path from model approval to business use.
Regulation creates friction, but also separation. The same organizations that invest in governance infrastructure are leading in AI delivery velocity and trust across the business.
Domino is built for the exact problem this report reveals: turning AI in production into AI that’s trusted, accessible, and used in real decisions.
AI value happens at the point of decision.
Domino connects models to real workflows, so AI drives outcomes, not just outputs.
Models are in production, but not in use.
Domino turns them into governed applications and workflows business users can act on; no tickets, no intermediaries.
AI is scaling faster than it’s being governed.
Domino embeds auditability, control, and oversight directly into how models and agents are built, deployed, and used.
