AI Agents
Agents that do the work, not just describe it.
Systems that act across your tools — with a human approval step wherever a mistake would be expensive.
You are here if…
- Your team copies data between systems all day.
- Your chatbot answers questions but cannot actually do anything.
- The same multi-step process runs a hundred times a week, by hand.
- Work stalls overnight because nobody is there to move it along.
What we deliver.
Task agents
Multi-step jobs run end to end, not one prompt at a time.
Tool and API access
Agents that read and write in the systems you already run.
Human approval steps
A person signs off wherever being wrong is costly.
Support agents
Resolve the request, rather than route the ticket.
Scheduled and triggered runs
Fire on a timetable, a webhook or an event.
Full audit trail
Every action an agent took, and what prompted it.
How it runs.
Pick one process that is repetitive, high volume and rule-heavy.
Map every system the agent must touch, and what it may change.
Build the narrow version first — read-only wherever possible.
Add write access behind approvals, then measure against the manual process.
Log everything, and review the first few weeks closely.
The stack
OpenAI / LLM APIs, LangChain, LangGraph, MCP, Python, Redis, PostgreSQL
Questions.
Scope and approvals. An agent only reaches the systems you grant it, anything costly or irreversible waits for a person to confirm, and every action is logged.
Need this built properly?
A free 30-minute technical call. We tell you what it takes and what it costs.