Service 05
AI Strategy & Advisory
We help teams decide where AI can create real business value, and give them the technical direction to execute with confidence.
What's included
- AI strategy and roadmap: finding high-value opportunities aligned with business goals, users and technical realities
- Architecture and technical due diligence on existing or proposed AI systems, data, models and infrastructure
- Build vs. buy: evaluating models, vendors and platforms on performance, cost, scalability and long-term fit
- AI team building: technical requirements, job descriptions and candidate evaluation
- Fractional AI technical leadership for teams not yet ready for a full-time AI lead
Who it's for
Leadership and product teams making significant AI investments who need an experienced technical voice in the room before the roadmap is set, not after it fails.
Track record
Defined AI milestones and technical direction alongside product and engineering leadership, and helped build AI engineering teams from requirements and job descriptions through technical interviews.
See case studies →Ways to start
Fixed scope, clear outcome.
AI Cost & Quality Audit
1–2 weeksA review of an existing AI system: quality, evaluation, cost and latency, with a prioritised fix list.
Strategy Sprint
2 weeksUse cases ranked by value and feasibility, a roadmap, and a recommended architecture.
How we work
Pilot with proof.
- 01
Sample
We start small, on a real slice of your data or one workflow.
- 02
Side-by-side results
You see our system next to what you use today, case by case.
- 03
Cost estimate
A clear running cost at your scale before you commit.
- 04
Build
Production engineering, integration and evaluation.
- 05
Run
Monitoring, updates and support after launch.
Other services
Have a workflow you wish ran itself?
Tell us about it. In a short call we'll say honestly whether AI is the right fix, and what a small pilot would look like.