The system
Written in your repository, with your conventions, your code reviews and your deployment pipeline.
Diagnostic & Production delivery
Five days to know. Twenty to deliver.
The diagnostic establishes where you stand, with numbers. Production delivery takes one use case all the way, handover included.
Diagnostic
Five days to replace impressions with measurements. At the end, you have a number to compare everything that follows against.
5 days, spread over 2 to 3 weeks
Custom quote
D1
Scoping and inventory
We list your systems, their use cases and their pain points. Interviews with the teams who operate them, not only those who wrote them.
D2
Code and trace review
Review of prompts, tools and chains. We look at what runs in production, not at what the documentation describes.
D3
Evaluation baseline
Building a representative test set and taking the first measurement. This is the number every later change will be compared to.
D4
Costs and observability
Trace instrumentation, cost per request, end-to-end latency. Where the money goes, and what degrades without warning.
D5
Debrief
Written report, prioritised workstreams, costed plan. Written so your teams can execute it without us: that is the point.
What you keep
- A written report, delivered and presented
- A reproducible evaluation baseline, in your repository
- A prioritised, costed roadmap
Production delivery
One use case, chosen together at the end of the diagnostic, taken all the way to production. Not another POC: the goal is that it still runs in six months, without us.
15 to 20 days, two engineers
Custom quote
The evaluation harness
The test set that says whether it regresses, wired into your CI so a release can fail on it.
Observability
Traces, latency and cost per request, surfaced in the tools your teams already use.
The handover
Your teams take over: handover sessions, documentation, and the honest list of what remains fragile.
Why we never start with production delivery
Without an evaluation baseline, a pilot is judged on the impression it leaves in a demo. That is exactly the trap you are trying to escape. The diagnostic costs five days, and it has already made us say no to use cases that were not worth twenty.
Our method
Understand, measure, deliver.
Our three services follow this order. Each is useful on its own; together they form the shortest path to a system that lasts.
01 · Understand
Training
One day to share an honest definition of what AI can do, what it costs and where it fails. The decisions that follow are made on facts.
02 · Measure
Diagnostic
Five days to read what actually runs, build an evaluation set and cost out what production will require. Then invest where the return is demonstrable.
03 · Deliver
Production delivery
Fifteen to twenty days to take a use case to production: evaluations, traces, cost tracking, documentation. The system runs, your teams take it over.
Let's talk
Let's start with a conversation.
Describe your situation in a few lines. We will tell you frankly whether we can help, and how. A reply within one business day, first call with no commitment.