Diagnosis, use cases, pilots, operating rules, playbooks and continuity to introduce AI into engineering with evidence, control and clear decisions.
AI is already entering development, testing, documentation, support and code review. The challenge is not whether to use it, but how to use it with method. We turn scattered AI use into a governed engineering capability.
01
Decide where AI makes sense and where it should be contained.
We read the real workflow, identify patterns, risks and opportunities, and give the team a clear starting point for controlled progress.
From €3,000
02
AI to turn technical intent into better-built engineering delivery.
We design SDLC-aligned use cases that create real value: they automate, accelerate and improve quality without breaking the team's judgement.
From €8,000
03
Test AI in a real workflow without turning the pilot into a blind bet.
We run controlled pilots with entry criteria, checkpoints and a clear exit. Real evidence to decide with confidence.
From €5,000
04
Rules, gates, evidence and responsibilities so AI does not break control.
We define the shared operating structure: practical policies, controls, roles and metrics. Engineering, security and product stay aligned.
From €12,000
05
Turn AI decisions into real engineering habits.
Practical playbooks, reusable examples and operating routines that the team can adopt and apply every day.
From €20,000
06
Keep AI under control as tools, teams and risks change.
We review evidence, update controls and evolve governance. A live service that sustains progress within clear limits.
From €4,000/month
Indicative amounts, excluding VAT. Final scope depends on the team, workflow, data, criticality, operational complexity and deliverables.
Clear decisions, verifiable evidence and operational control.
