AI consulting and implementation
From "we should do something with AI" to a working system your team runs, with honest answers about what it can and cannot do.
Who it is for
- Operators who have been asked for an AI plan and want one that survives contact with the budget.
- Product teams adding AI features that have to work for real customers, not just in a demo.
- Engineering teams that want AI coding agents in their process without losing control of quality.
What it covers
- An assessment of which problems are worth AI, which are not, and what the honest cost of each is.
- Prototypes built to test an assumption instead of arguing about it.
- Production features: retrieval, agents, evaluation and monitoring, built to be maintained.
- AI coding agents at work in your team, with the specification and review discipline that makes them safe.
- Model and vendor selection with cost, latency and data handling in view.
How it works
A fixed-scope assessment first. Then a fixed-scope build, or a retainer if the work is ongoing.
Fast to prototype, slow to ship, fragile in production is the pattern this engagement exists to prevent.
Every engagement begins with Ethos Discovery, so the first weeks are spent on the right problem.