Informal AI use
Scattered tools, invisible decisions and lost evidence.
Governed AI for software teams
If AI is already in the team, we bring order to its use. If it is not yet there, we define where to start.
Use cases, controls, evidence and next steps to move forward without improvising.
AI is already in engineering. Control is not.
Many teams already use AI in development, review, documentation, support or automation. Risk appears when usage moves faster than rules, evidence, review and accountability.
Licences without real adoption
Paid tools that do not change tickets, PRs, tests or releases.
Pilots that do not scale
Interesting experiments without owner, metrics or exit criteria.
Overloaded review
More code and suggestions, but not more real evaluation capacity.
Plausible documentation
Text that looks correct, but has no source, decision or verifiable change.
Agents without limits
Automation without permissions, rollback, gates or assigned accountability.
How we turn scattered AI into governed delivery
01
Clarify use cases
Risks, observable facts and initial scope.
02
Define controls
Permissions, roles, data, gates and evidence.
03
Pilot workflows
Real flows with human review.
04
Measure results
Quality, effort, risk and acceptance.
05
Decide the next step
Stop, repeat, redesign or scale.
Professional Service
Every intervention turns AI use into a clear operating base: prioritised use cases, defined controls, evidence, review criteria, responsibilities and next steps that engineering, product, security, leadership and compliance can use.
Real AI usage map
Where AI is used, who uses it, which risks it creates and what evidence exists.
Gate model
Minimum controls for prompts, code, documentation, testing, PRs and release.
Pilot workflow
A real flow put into practice with roles, permissions, review and metrics.
Operating manual
Recommended decisions: scale, limit, redesign or stop.
AI in software teams, without improvising
For organisations already using AI in scattered ways and for those still deciding where to start.
We identify real use cases, risks, permissions, workflows, evidence and human review to pilot, govern or scale with judgement.