Intelligence in production
AI & Automation
We don't sell magic. We instrument it. So the model's behaviour is observable, the cost is predictable, and the value is measurable.
"The companies seeing the highest ROI from AI deploy it in production, not in slide decks. The gap between experimentation and production is where value gets lost."
— McKinsey & Company, "The State of AI in 2024"
What you get
From concept to production
We automate what's worth automating — with observability, predictable cost, and behavioral guardrails. No proof-of-concept projects that die on the slide. What we build goes into production and generates results.
- 01AI opportunity mapping
- 02Working prototype in 2 weeks
- 03Evaluation harness & guardrails
- 04Production deployment & observability
- 05Continuous fine-tuning loop
How we work
Four phases, weekly demos.
01
Map
AI opportunity audit, process analysis, ROI modelling. We identify what's worth automating before writing a line of code.
02
Prototype
Working model in 14 days. Evaluation harness built in parallel, not as an afterthought.
03
Instrument
Production deploy with full observability. Cost tracking, eval coverage, behavioural guardrails.
04
Optimise
Continuous fine-tuning loop. We monitor model drift and evolve the system as your data grows.
Got a brief for AI?
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