AI that actually
earns its place in production.
Most AI demos die in the gap between 'works on the prototype' and 'survives a Tuesday afternoon.' We build systems that close that gap, with the evals, fallbacks, and observability the demos skip.
Your AI proof-of-concept worked.
Then what?
The pilot was great. Leadership saw the demo and got excited. Then engineering started asking the awkward questions: how do we know it's still working next month? What happens when the model regresses? Who owns the prompts?
Production AI is mostly the unglamorous parts: eval harnesses, fallbacks, observability, cost monitoring, prompt versioning. We do those well, so the rest stays sharp.
- POC demo got applause; production rollout keeps stalling
- No way to know if the model just got worse
- Costs trending the wrong direction and nobody can explain why
- Prompts living in someone's local notebook
Boring infrastructure,
reliable AI.
- i.
Map the workflow
Where does AI add value, and where would it just add latency? We separate the genuine wins from the resume-padding.
- ii.
Build the rails
Eval datasets, retrieval indices, prompt registry, structured outputs, failure handlers. The infra you'd have built six months from now, built first.
- iii.
Ship behind a flag
Real users, low-risk path, eval scoring on every response. Confidence comes from data, not from vibes.
- iv.
Observability + handoff
Dashboards your team actually checks. Runbooks for when things drift. We leave when you can answer 'is the AI working?' without paging us.
AI features that
survive Mondays.
You ship AI features your team can debug and improve without us. Costs are visible, regressions are caught, and the product roadmap stops being held hostage by 'wait, is the model still working?'
Most importantly: you can answer the board's questions about reliability with numbers, not narrative.
What we typically reach for
Models
Patterns
Infra
Observability
Let's talk about what it would take
to put it in front of users.
30-minute discovery call. We'll be honest about whether your problem is an AI problem or something else.