Enthusiasm for artificial intelligence in enterprise technology is not the problem. Execution is. That is the blunt takeaway from Perforce Software’s State of DevOps Report: Platform Engineering 2026, published today, which surveyed 820 technology professionals worldwide and finds that platform engineering maturity – not AI ambition – is now the defining factor in whether organisations achieve lasting value from AI deployment.
The report arrives at a critical inflexion point. As AI transitions from experimental tool to production infrastructure, the gap between early adopters and laggards is hardening into something more structural. Organisations that invested in platform engineering foundations are scaling AI with confidence. Those that didn’t are finding that ambition alone doesn’t translate into outcomes.
The maturity gap
The numbers are stark. Seventy-three per cent of mature platform engineering organisations say platform maturity was a critical or significant factor in their AI success, compared to just 44% of less mature counterparts. Mature organisations are also nearly twice as likely to run AI workflows fully autonomously.
Yet the broader picture reveals how far most organisations still have to travel. While 66% are already using AI in infrastructure workflows – spanning provisioning, drift detection and compliance management – only 31% report fully autonomous AI operations. The gap between usage and operationalisation is where many enterprises are currently stuck.
Governance as a trust multiplier
Perhaps the most striking finding in the report concerns governance. Organisations with formal, structured governance report 94% trust in AI outputs. Those relying on ad hoc approaches report just 51% – a 43-point gap that has direct implications for any business deploying AI in critical or regulated workflows.
Where organisations have fully standardised internal developer platforms (IDPs), confidence in AI outputs climbs to 92%. Seventy-nine per cent of platform-mature organisations report strong governance automation maturity, against just 14% of immature organisations.
Ron Hoffner, VP of Product Management at Perforce, said: “The data underscores that trust in AI is not accidental. It is engineered through governance, automation, and standardised workflows. AI just made the consequences of ignoring them impossible to hide. Companies that operate with real engineering rigour in their AI work will pull away from the pack.”
The findings echo a broader theme emerging across the industry: that the organisations extracting durable value from AI are not necessarily those who moved fastest, but those who built something AI could reliably work within.
Internal developer platforms accelerate autonomy
The report also highlights the operational advantage of IDP maturity specifically. Forty-four per cent of IDP-mature organisations run AI workflows fully autonomously, versus 26% of those still in the experimental phase – a gap that is likely to widen as AI capability advances faster than governance frameworks in less mature organisations.
Fifty-two per cent of organisations now have fully automated audit trails, with similar gains reported across policy-as-code and compliance reporting. For highly regulated industries — financial services, healthcare, critical national infrastructure — these capabilities are increasingly a baseline requirement rather than a competitive differentiator.
The stakes for regulated industries
The governance findings carry particular weight for sectors where traceability and control are not optional. As AI-driven changes accelerate infrastructure operations, the ability to demonstrate what decisions were made, when, and on what basis is becoming central to both compliance and client trust.
The report frames platform engineering teams as the critical enabler in this context: by encoding policy, automating governance and standardising workflows, platform teams allow enterprises to move faster without sacrificing the control that regulated environments demand.
What comes next
The Platform Engineering 2026 report is part of Perforce’s wider State of DevOps Report 2026, an annual study running since 2013 that has gathered data from thousands of DevOps professionals globally. This year’s platform engineering subset draws on responses from 820 technology professionals across industries and geographies.
The full report is available now at https://www.puppet.com/
