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How often the team gets change into production.
Elapsed time from starting work to it being live.
The percentage of changes requiring fixes or rollbacks
How often AI output is accepted without rework.
Fewer tokens means lower cost and better results
Engineering teams have historically been measured against DORA metrics (Deployment Frequency, Average Cycle time, Change Failure Rates). Our engineers introduce metrics that can reinforce the behaviours that lead to real change within your organisation. By measuring AI First Pass success rates, along with AI tokens per task, we help your organisation build guardrails and QA to make sure the coding output is trustworthy to ship.
Your AI success is directly related to the quality of foundations in place before you start to ship your code. In this stage, we set metrics, guardrails and quality assurance procedures so that access control and data governance is baked in from the start.
From AI tooling to AI realisation. Parallel running teams focusing on AI Platforming and Engineer Excellence embeds and collaborates to make sure all of your teams have the skills and structure to deliver at its best with AI. We give your leadership a clear view of capability across the organisation and the confidence to shape it around what's now possible.
With AI procedures measured, implemented and reshaped for innovation, our team recommends how best to redeploy engineer skillset back into your business to unlock potential new commercial value.
