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Case study · Anonymised

Preparing a platform team for AI-driven development at scale

Insurance · Enterprise · 15,000+ employees
Anonymised — Enterprise Insurance Insurance

Preparing a platform team for AI-driven development

Insurance · Enterprise · 15,000+ employees

"We had the AI mandate but not the platform foundation to back it up. The assessment gave us a clear picture of the gap, and more importantly, gave us the language to explain it to …" — Director of Platform Engineering, Enterprise Insurance Organisation

15,000+
Employees
AI mandate
At risk of a costly failed rollout
−40%
Estimated onboarding time post-MVP
01 · About

About the organisation

A large insurance organisation undergoing a significant digital transformation. Engineering leadership had a mandate to modernise their developer platform ahead of a broader rollout of AI-assisted development tooling.

02 · The challenge

Where they were stuck

The organisation had a senior mandate to roll out AI-assisted development tooling, but the underlying developer platform wasn't ready to support it at scale. Without standardised golden paths, consistent environments, and clear platform ownership, introducing AI tooling risked amplifying existing inconsistencies rather than solving them. The platform team needed to move fast, but needed an external view on what to fix first.

03 · The playbook

Agentic Developer Platform (ADP) Maturity Assessment

We ran our Agentic Developer Platform maturity assessment, benchmarking the platform's current state against the requirements for supporting AI-assisted development at scale. The assessment identified the three highest-priority gaps blocking AI readiness, and the advisory engagement that followed produced a concrete, sequenced roadmap for addressing them. Platform leadership used the output to align with their CTO and secure budget for the next phase.

AI readiness session
04 · The result

What changed

The organisation had a clear, prioritised picture of what stood between their platform and AI readiness, with enough external validation to move the conversation forward with the CTO. Platform leadership secured budget for the next phase within six weeks, using the assessment findings directly in their CTO presentation.

We had the AI mandate but not the platform foundation to back it up. The assessment gave us a clear picture of the gap, and more importantly, gave us the language to explain it to leadership and get the investment to fix it.
05 · More results

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