AI agents
An agent is only useful when it can actually do something — look a customer up, book the meeting, update the CRM, escalate when it is unsure. We build agents that take real actions inside your systems, with the guardrails that make that safe.
Quick answer
An AI agent is software that uses a language model to complete multi-step tasks across your tools — looking up records, sending messages, updating your CRM and escalating to a human when it is uncertain. The difference between a demo and a production agent is grounding in your real data, explicit tool permissions, error handling and evaluation.
Deliverables
- 01
An agent grounded in your own data, not generic answers
- 02
Tool access with explicit permissions and audit logs
- 03
Human handoff whenever confidence is low
- 04
Evaluations and monitoring so quality does not silently drift
About ai agents
How is an agent different from a chatbot?
A chatbot replies. An agent acts — it can look up a record, book an appointment, update your CRM or trigger a workflow. The value is in the actions, not the conversation.
Will it make things up?
Not if it is built properly. We ground agents in your actual data, restrict them to defined tools, and make them hand off to a human when confidence is low. We run evaluations before anything goes live.
Tell us what your team repeats.
We reply within 24 hours with honest questions — and tell you if this is not the right service for your situation.
AI voice agents
Your phone answered 24/7. Calls handled, appointments booked, leads captured and logged.
03Workflow automation
Make, n8n and Zapier pipelines that move the data so nobody re-types it.
04AI chatbots
Grounded in your own content. They answer what you would answer — and hand off when they should.