Retool
All Statistics
43% of CTOs, CISOs, and CIOs are not very confident or not at all confident they have full visibility into all production internal tools.
59% of CTOs, CISOs, and CIOs cannot confirm whether their organizations have had an AI-caused production incident.
93% of CTOs, CISOs, and CIOs are concerned about vibe-coded tools running in production.
37% of CTOs, CISOs, and CIOs describe their organization's AI governance as uneven across teams.
10% of CTOs, CISOs, and CIOs describe their organization's AI governance as reactive.
8% of CTOs, CISOs, and CIOs describe their organization's AI governance as strong.
90% of CTOs, CISOs, and CIOs say business pressure to enable AI building has increased in the past 12 months.
38% of CTOs, CISOs, and CIOs call vibe-coded tools running in production a top operational risk.
19% of CTOs, CISOs, and CIOs can definitively say their organizations have not had an AI-caused production incident because of monitoring they have in place.
22% of CTOs, CISOs, and CIOs indicate their organizations have had at least one AI-caused production incident.
5% of CTOs, CISOs, and CIOs are very confident they have full visibility into all production internal tools.
Approximately 95% of CTOs, CISOs, and CIOs acknowledge at least some gaps in visibility into production internal tools.
40% of CTOs, CISOs, and CIOs describe their organization's AI governance as mostly functional but requiring significant manual effort.
52% of CTOs, CISOs, and CIOs acknowledge having gaps in visibility into production internal tools but cannot fully quantify those gaps.
31% of CTOs, CISOs, and CIOs say their organization's tolerance for friction in enabling AI building is near zero.