Customer enquiries
Classifies a request and prepares the next action.
AI that does more than answer. It moves work forward.
I build practical AI agents around real workflows: finding information, preparing responses, updating systems and progressing tasks with clear human controls and privacy-conscious design.
Tell me which task you want to delegate →One focused role. Real work completed.
We start with a narrow responsibility and an outcome you can verify.
Internal operations
Uses approved internal knowledge to draft a contextual reply.
Documents & knowledge
Extracts document data and sends it to the right system.
Sales follow-up
Flags blockers and keeps an auditable trail for review.
A serious agent is not a chatbot with a new label.
We define what it may decide, what needs human approval, which data it may access and how every action is reviewed. If conventional automation is the better answer, I will say so.
Choose one measurable workflow
We agree what useful looks like before discussing models.
Test against real cases
Normal, ambiguous and stop-required cases all belong in the test set.
Connect only what is needed
Every connection adds risk and maintenance, so each one needs a reason.
Launch with controls and iteration
Usage, errors and exceptions guide the next decision.
Tell me which task you want to delegate
A short first conversation separates a real AI opportunity from something that does not need custom development.
Discuss the workflow →