Services
Three areas, one aim: decisions you can act on.
Most of the questions we’re asked sit across all three — an AI feature is an architecture decision and an engineering-practice one too. We work on them together.
AI strategy
AI is now a leadership question, and most of the answers depend on your product, your data and the risks you can carry. We help you work out where it fits, choose the right approach, and put the foundations in place so it can be trusted in production.
Typical work
- AI opportunity and readiness assessments
- Build, buy or partner decisions — models, vendors and platforms
- Product design for LLM and agent-based features
- Evaluation, guardrails, cost and governance
Questions we help answer
- Where would AI make a measurable difference for us?
- Should we build this ourselves, or use a vendor?
- How will we know it’s working — and safe?
Technology strategy
Good technology decisions are the ones a team can live with for years. We look at where you are, weigh the options with you, and turn the choice into a plan that fits your budget, your people and your timeline.
Typical work
- Architecture and platform reviews
- Technical due diligence
- Roadmaps, sequencing and build-versus-buy
- Cloud cost, reliability and security posture
Questions we help answer
- Will our architecture carry the next stage of growth?
- What should we stop doing?
- What does this product really cost to run?
Software engineering
Strong teams are built on habits as much as talent. We work with engineering leaders on how software is designed, tested and released — so that delivery gets faster and safer at the same time.
Typical work
- Engineering practice and delivery reviews
- Testing strategy, CI/CD and release safety
- AI-assisted development that holds up in review
- Team structure, hiring and technical leadership support
Questions we help answer
- Why does shipping feel slower than it should?
- How do we use AI coding tools without losing quality?
- What does good look like for a team our size?
Not sure which of these it is?
That’s normal — the interesting problems rarely fit one box. Describe the situation and we’ll tell you how we’d approach it.
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