03 / Consulting
Work out what to build — and how to build it properly.
We work with organisations before they build. The aim is to identify where AI is genuinely useful, rather than applying it indiscriminately.
01
AI strategy
Where AI belongs in the organisation, and where it does not.
02
Discovery workshops
Opportunity and constraint, discussed with the people who will have to live with the outcome.
03
Technical architecture
System shape: data, models, interfaces, ownership and failure modes.
04
AI readiness
Whether the organisation, the data and the engineering practice can actually support the work.
05
Solution design
A design that can actually be built — not a presentation that cannot.
06
Model selection
LLM and model choices against the actual constraints: cost, latency, control and data.
07
RAG architecture
Retrieval that is honest about what the corpus is, and what the system should refuse.
08
Agentic system design
Agents as software: tools, boundaries, evaluation, and the places they should not act.
09
Security and production
The considerations that decide whether a prototype can leave the lab.
10
Proof-of-concept planning
A bounded experiment with a pass/fail that the organisation will actually accept.
Strategy, discovery and architecture from people who understand the underlying technology — and who will still be involved if you decide to build, or to deploy Platform, Stack, Wargame, Funnel or Callcenter. Talk to us.