Service
AI Agents & Automation
Hand repetitive work to software that can read, decide and act, and knows when to ask a person.
The problem
Teams lose hours to work that follows rules but resists simple scripts: sorting emails, pulling fields out of documents, updating records across tools, preparing reports. An agent can do this work, if it is built with limits and checks.
What you get
- 01An agent that works inside your existing tools (email, spreadsheets, CRM, internal APIs).
- 02Clear limits on what it may do on its own and what needs approval.
- 03Logs of every action, so you can see what it did and why.
- 04An evaluation set that measures accuracy before launch and after every change.
Typical projects
Document intake
Read invoices, forms or reports and fill structured records.
Support triage
Classify requests, draft replies, route the rest.
Research assistants
Gather, summarize and cite.
How it's built
- Python
- FastAPI
- LLM APIs with tool calling
- Background job queues
- Evaluation pipelines
FAQ
What if it makes a mistake?
Risky actions need human approval, and every action is logged and can be reversed.
Which model do you use?
The cheapest one that passes the evaluation set. The model can be swapped later.
How does a project start?
With a free call about the problem. Then you get a written plan: deliverables, timeline, and a fixed price or a clear estimate.
Will I see progress before the end?
Yes. Working software every week on a preview link, not a big reveal at the end.
What do I get at handover?
The code, tests, documentation and a walkthrough. You own all of it.
Other services
Have a problem AI might solve?
Describe it in a few lines. You'll get an honest answer, including when AI isn't the right tool.