Adoption without an operating model
Developers are using AI, but ownership, standards, context, review and measurement have not caught up.
Capability 01
AI Software Factory
Move AI-assisted software delivery from individual tooling to an enterprise capability that can improve flow without quietly outsourcing quality.
Discuss the software factory Premise
The useful question is not which assistant wins a feature comparison. It is where AI changes the delivery system, what context it needs, which controls remain non-negotiable and how the organisation will know that the result is better.
When to bring us in
The useful starting points.
Not an exhaustive list. These are the patterns that usually mean the problem is structural enough to deserve senior attention.
Tools without enterprise context
Assistants can generate code but cannot reliably see the architecture, APIs, policies, examples and delivery constraints that make it usable.
Speed without system evidence
Local output feels faster while review load, rework, failure risk and end-to-end delivery performance remain unclear.
The work
What we actually do.
- 01
Set the value case
Choose the workflows where AI can change a business or engineering outcome. Establish the baseline, economics and stop conditions before rollout becomes the strategy.
- 02
Redesign the developer journey
Rework specification, implementation, testing, review, documentation and incident learning around useful human–AI collaboration.
- 03
Build the context and action layer
Connect repositories, documentation, ADRs, APIs, standards, pipelines and approved tools through permission-aware context and actions.
- 04
Make it governable
Put identity, access, policy, evaluation, auditability, cost control, security and human approval into the capability rather than around it later.
Typical outputs
Artifacts that move the decision.
- 01AI-in-the-SDLC strategy and value case
- 02Developer-workflow and operating-model design
- 03Enterprise context/action architecture
- 04Repository and toolchain readiness plan
- 05Evaluation, control and measurement model
- 06Sourcing, implementation and adoption roadmap
The outcome
A software-delivery capability leadership can fund, engineering can use and security can inspect — with evidence strong enough to scale or stop.
Start with the live problem
If the brief is already perfect, we may have arrived too late.
Bring the unresolved decision, the awkward dependency or the workflow everyone has learned to work around.
Discuss the software factory