August 6, 2026

Your platform engineering roadmap for the next 12 to 18 months

AI changes what platform engineering teams need to prioritise. Speed without governance creates risk. Speed without developer experience creates friction. Speed without business alignment creates waste.

This roadmap gives platform engineering leaders five strategic themes for the next 12 to 18 months, built from research into the trends and challenges reshaping delivery teams today.

Inside, you'll find:

  • AI strategy and governance. Move from manual policy enforcement to platform level controls, including a central model gateway, zero hop policy enforcement, and dynamic tool discovery.
  • Developer experience as an AI force multiplier. Reduce cognitive load and build the internal developer platform that makes AI tools effective rather than disruptive.
  • QA as an engineering discipline. Shift quality from an end of stage gate to a continuous, automated capability owned by the whole delivery team.
  • Architectural principles for an AI native world. Keep architectural oversight strong as AI accelerates the pace of build.
  • Business alignment, operationalised. Link engineering incentives and value stream visibility to measurable business outcomes.

Each theme includes the actions to take and the reasoning behind them, so your team has a framework to build a roadmap suited to your own context.

Download the full roadmap below.

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August 6, 2026

Your platform engineering roadmap for the next 12 to 18 months

AI changes what platform engineering teams need to prioritise. Speed without governance creates risk. Speed without developer experience creates friction. Speed without business alignment creates waste.

This roadmap gives platform engineering leaders five strategic themes for the next 12 to 18 months, built from research into the trends and challenges reshaping delivery teams today.

Inside, you'll find:

  • AI strategy and governance. Move from manual policy enforcement to platform level controls, including a central model gateway, zero hop policy enforcement, and dynamic tool discovery.
  • Developer experience as an AI force multiplier. Reduce cognitive load and build the internal developer platform that makes AI tools effective rather than disruptive.
  • QA as an engineering discipline. Shift quality from an end of stage gate to a continuous, automated capability owned by the whole delivery team.
  • Architectural principles for an AI native world. Keep architectural oversight strong as AI accelerates the pace of build.
  • Business alignment, operationalised. Link engineering incentives and value stream visibility to measurable business outcomes.

Each theme includes the actions to take and the reasoning behind them, so your team has a framework to build a roadmap suited to your own context.

Download the full roadmap below.