Most companies we meet have plenty of AI ideas. What they lack is someone to say which one is worth doing, what it will cost to run, and what their data needs to look like first. That is our job. AI is how we build, not a department we added.
We start from the workflow, not the model, and we are as happy to recommend a rule and a spreadsheet as a language model. Four services sit under this practice: strategy, integration, automation, and data and ML.
In this practice
- AI Strategy & Readiness: Which use cases pay, in what order, and what is not worth it.
- AI Integration: Language models inside the product you already have, with guardrails and evals.
- AI Automation & Agents: Repetitive work done by software, with people where it matters.
- Data & Custom ML: Trained models and optimisers for the problems a prompt cannot solve.
What we offer
- Strategy and readiness
- Integration into your product
- Automation and agents
- Data and custom ML
How we work
- 01Name the problem in business terms
- 02Check the data and the workflow
- 03Prove it small, on real data
- 04Wire it in, with limits written down
- 05Measure, then decide what is next
Ready to talk?
