AI & Data
MLOps / LLMOps platform setup
Getting models into production properly, and keeping them there.
Who it is for
Teams with models already in production.
Everything below is in the scope document, written and priced before anything starts. If something you need is not on this list, say so and it goes in the quote — or we tell you it does not belong in this engagement.
- Model and prompt versioning, with a rollback path that has been tested
- Evaluation and regression gates in CI so a change cannot silently degrade quality
- Monitoring for drift, cost and latency with alerting that someone owns
- Deployment topology and environment promotion
- Runbooks written for the people who will be on call, not for us
Also in AI & Data
AI readiness assessmentWhat is worth automating, what it costs at real volume, and the two things that will block you.2–3 weeksAI governance, EU AI Act & ISO 42001 readinessRisk classification, a gap analysis and a control set your auditor and your EU customer will both accept.3–5 weeksRAG & knowledge assistantsRetrieval over your own documents, built on your permissions model rather than around it.6–10 weeksAI agents & workflow automationAn agent inside an ops-heavy process, with the human checkpoints designed in rather than asserted.6–12 weeks
Next step
Thirty minutes on whether this is the right engagement.
If a different service on this list fits better, or if you do not need us at all, that is what the call will conclude.