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Most engineering organisations believe platform maturity is a significant factor in the success of AI, states report

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The Perforce ‘State of Platform Engineering Report 2026’ has just come out, offering fresh data from 820 technology professionals on how platform engineering maturity is shaping enterprise AI outcomes. It finds that 73% of mature platform engineering organizations say platform maturity is a critical or significant factor in AI success, while orgs with formal AI governance report 94% trust in AI compared with just 51% using manual approaches. The findings highlight a shift for IT and DevOps leaders as AI moves into infrastructure workflows, internal developer platforms, governance automation, and standardized workflows become essential to scaling AI successfully.

Other key findings include:

  • AI in infrastructure is widespread, but autonomy remains uneven. 
  • Governance is moving from oversight to embedded software:
    • 79% of platform-mature organizations report mature governance, compared with 14% of immature organizations.
    • 52% of organizations with internal developer platforms report fully automated governance capabilities.
  • Trust in AI rises with formal governance and platform maturity:
    • 81% of mature organizations report trust in AI, compared with 48% of immature organizations.
    • Trust reaches 92% in standardized IDP environments and 94% in organizations with formal governance, compared with 51% under ad hoc governance. (See “Trust Is an Outcome: How Platform Engineering Enables AI Confidence” for more.)
  • Platform teams are emerging as strategic enablers of AI scale.
    • Mature organizations are positioning platform engineering as the operating layer that unifies governance, autonomy, and trust, rather than as a tooling function. (See “Platform Engineering as a Strategic Function“).

Participants were sourced globally, with representation across key regions – see chart.

http://www.perforce.com

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