OutSystems Report Reveals Enterprise AI Governance Gap

Event summary

82% of executives believe their organizations can govern AI agents, but only 26% are prepared to resolve conflicts between them.
71% of executives expect applications to coordinate work across systems within the next five years.
Only 5% of organizations have automated controls, audit trails, and formal human review points for AI agents.
74% prioritize integration with existing applications and systems as agentic AI adoption expands.

The big picture

The report highlights a critical inflection point in enterprise AI adoption, where organizations are shifting from experimentation to large-scale deployment. The disconnect between governance confidence and operational readiness underscores the need for platforms that can enforce policy-as-code and runtime guardrails. This trend is driven by economic pressure and the increasing complexity of managing AI agents across diverse systems and workflows.

What we're watching

Governance Dynamics: How enterprises will bridge the gap between governance confidence and operational readiness in AI agent deployment.
Execution Risk: Whether organizations can translate governance policies into repeatable runtime controls for AI agents.
Market Dynamics: The pace at which enterprises will prioritize flexibility and interoperability over consolidating around a single vendor.