AI consulting & strategy services.
Know what to build before you build it.
A short, practical engagement that finds your highest-value AI use cases and a plan to ship them.
The problems we solve first.
Hype
Every vendor promises AI will change everything.
Prioritisation
Dozens of ideas, no way to rank them.
Readiness
Data and teams may not be ready yet.
What you get.
Every engagement includes design, engineering, evaluation, security review and handover from one senior team.
Use-case workshop
Ideas collected across teams.
Value scoring
Impact, effort and risk ranked.
Data readiness
What data exists and its quality.
Prototype
One use case working in two weeks.
Roadmap
Phased plan with budgets.
Build vs buy
When to use tools versus custom.
AI consulting & strategy, by industry.
How we ship AI that holds up.
Evaluation comes before scale. You see it working on your data before you commit to the full build.
Discover
Pick the task, define what “good” means and collect sample data.
Prototype
A working version on your real data, shown to real users.
Evaluate
Automated tests for accuracy, latency, cost and safety.
Productionise
Security, scaling, integrations and admin controls.
Monitor
Quality, drift and spend tracked; prompts and models improved.
Three ways to start.
AI sprint
One use case, prototyped on your data and tested with users.
You leave with · Prototype + go/no-goPilot
A production-grade version for one team, with evals and monitoring.
You leave with · Live pilot + ROI dataAI team
A dedicated squad that ships and improves AI across your products.
You leave with · Roadmap deliveredQuestions, answered.
Most clients start with a two-week AI sprint. Pilots and production builds are priced after the sprint, once we know what works on your data.
Ready to try ai consulting & strategy? Start with a sprint.
Tell us the task. An AI architect replies within one business day with a sprint plan. NDA on request.