All services
AI & automation
Intelligent workflow automation
LLM features and internal automation built like software, not demos — evaluated against a dataset, bounded in cost, and with a defined answer for what happens when the model is wrong.
What you get
Deliverables
- 01Use-case assessment with a go / no-go recommendation
- 02Retrieval and prompt architecture with an evaluation suite
- 03Model integration with cost and latency budgets
- 04Human-in-the-loop and fallback paths for low-confidence output
How it runs
Process
- 01
Qualify
Which parts of the workflow actually benefit — and which are cheaper as ordinary code.
- 02
Prototype
A narrow slice measured against real examples before scope grows.
- 03
Evaluate
A scored test set, so changes are improvements rather than vibes.
- 04
Integrate
Shipped behind the same monitoring and guardrails as the rest of the product.
Tooling
What we reach for
- Claude API
- Python
- TypeScript
- Vector search
- Evaluation harnesses
Proof
