Assistants arrive before the architecture
Code gets written faster while testing, security and deployment fall behind.
Connect AI to the whole lifecycle.
What we do
From assessment to delivery with the same people. Start with a pilot, prove it, then expand.
AI adoption is moving faster than the decisions behind it
Data goes wherever the tools go
Few can say where their code and data are processed, or what it would cost to leave.
Set data boundaries, a model gateway and an exit plan.
Agents act before they are trusted
Without verification and rollback, small mistakes become production incidents.
Build the safety checks first, then widen what agents may do.
One team from assessment to delivery
AI SDLC Assessment
Where you stand across SDLC maturity, AI readiness and organisational readiness. Gap analysis and a prioritised roadmap.
Sovereign AI Architecture
Model strategy, gateway, evaluation harness, data boundaries and exit plans. Hosted, open-weight or on-premises models, chosen on the basis of evaluations.
AI Factory Delivery
Agents and workflows across the lifecycle: requirements to specifications, review bots, test generation. Built and run by an embedded team.
AI Modernization
Legacy systems analysed, migrated and covered with tests using AI, with your engineers reviewing every step.
Training and Change
Workshops for engineers and leaders, hackathons with real agents, playbooks and an operating model your teams can run without us.
Start with a pilot.
Align, then establish, then extend and scale.
Start
A pilot with one team, or one part of the organisation.
Prove it
Make the loop trustworthy before widening it.
Expand
Scale across the organisation once it’s proven.
Not sure which one?
A 30-minute call is usually enough to work out what fits.