
AI & Automation
AI & Intelligent Automation
AI is worth building when it removes a task somebody does every day. We start from that task — the quotes being retyped, the invoices being read, the questions being answered — and build the narrowest system that ends it.
2–6 wk
Pilot to production
Measured
Accuracy agreed up front
Your data
Stays in your account
What the work involves
The parts that decide whether this succeeds.
01
Retrieval over your own documents
A grounded question-answering layer over your contracts, manuals and tickets, with citations back to the source so answers can be checked.
02
Document and form extraction
Invoices, purchase orders, ID documents and scanned forms turned into structured records, with a review queue for anything low-confidence.
03
Agentic workflows
Multi-step processes where the model calls your tools — look up, draft, route, escalate — with a human approving the steps that matter.
04
Evaluation before rollout
A labelled test set and an accuracy number you agree on, measured before anything reaches production and monitored after.
What you get
Handed over at the end, in your accounts.
- Use-case assessment with expected time saved
- Evaluation set and accuracy baseline
- The deployed pipeline or agent
- Human-in-the-loop review interface
- Monitoring, cost controls and prompt versioning
Typical stack
- Python
- LangGraph
- Claude API
- PostgreSQL
- Docker
- AWS
How we run it
The same four stages as every Neotechmate project. You always know which one you are in.
- 01DiscoveryWe map the problem, the users and the constraints before a line of code exists.
- 02ArchitectureSystem design, data model and stack decisions — documented and agreed up front.
- 03Agile SprintTwo-week sprints with a working build and a demo at the end of every one.
- 04Deployment & ScaleProduction launch with monitoring in place, then we tune it as your load grows.
Have a ai & automation project? Tell us about it.
Send the brief and we’ll come back within one business day with an approach, a rough timeline and the questions we still need answered.