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CIOs reveal the gaps in AI oversight

685 enterprise CIOs revealed where agents outpace oversight, from shadow AI to audit trails, in a Dataiku/Harris Poll survey. Every gap they named is your team's to close.

81% of Global CIOs Say They Have Lost Oversight of Their Own AI Agents

The platform for AI success is trusted by 1 in 4 of the world’s top companies.

Johnson & Johnson
Novartis
Standard Chartered
Toyota
Michelin
SLB

The AI agents CIOs can't see

As AI agents multiply across teams and platforms, IT faces a growing gap between perceived visibility and actual oversight.

  • List Icon90% of CIOs say they have complete visibility into and tracking of their AI agents
  • List Icon81% lack complete oversight of agents built outside approved channels
What CIOs are confessing about enterprise AI in 2026 Infographic

When agent sprawl becomes a compliance risk

AI agents are spreading across enterprise systems, making it increasingly difficult to track ownership, access, and regulatory exposure.

  • List IconLearn which agent details matter most for risk classification and compliance
  • List IconDiscover how to build an agent inventory that supports EU AI Act readiness
The invisible fleet: why agent sprawl is now a compliance liability

Why healthy agents still make bad decisions

Your monitoring dashboards can show healthy AI agents while critical failures in their decisions go undetected.

  • List IconSpot the drift, scope creep, and decision-quality failures that traditional monitoring misses
  • List IconLearn how ongoing evaluation and risk controls help keep agent behavior aligned with business expectations
why traditional observability misses ai agent failure featured image

Let them build. And know what they built.

Give teams room to build, with governance built in

Teams across the enterprise build AI in one governed environment, with centralized oversight at scale. Ownership, sign-offs, and auditability are part of the process from the start, so you can stand behind what ships.

Know what every AI agent is doing

Observe, measure, and record what every agent does once it’s deployed. You get one clear view of what’s running and how it’s performing.

Step in the moment an agent goes off course

Define the guardrails every agent runs within. When one drifts from policy or intent, you’re flagged with the context to act, from rolling back a version to pulling it from production.

Get the Global AI Confessions Report: CIO Edition, 2026

Findings from 685 enterprise CIOs on agent visibility, governance, and accountability.