Agents that do the work, not just talk about it.
An agent reads the message, looks things up, decides the next step and takes it, inside rules you set. Anything outside those rules goes to a person.
Example agent run
One enquiry, handled end to end.
The log an agent leaves behind. Every step is recorded, so you can always see what it did and why.
An example run, written to show how our agents work. Not a specific client's data.
- 09:14:02InboxReads a new text: can someone service my boiler this week?
- 09:14:03CRMFinds the contact. Existing customer, last service eleven months ago.
- 09:14:04CalendarChecks engineer availability for the next five days.
- 09:14:06InboxReplies with two open slots.
- 09:14:41CalendarCustomer picks Thursday at 10:00. Books it and sends a confirmation.
- 09:14:42CRMMoves the deal to Booked and attaches the conversation.
- 09:15:10PersonCustomer asks for a discount. Outside the rules, so it goes to the office.
What goes into one
Every build includes.
- Tool-using agentsAgents wired to your real systems, from CRM and calendar to inbox and database, so they can act, not just talk.
- Voice agentsAfter-hours answering, appointment booking, FAQs, routing, lead qualification and missed-call recovery, on the phone line you already use.
- Grounded answersThe agent answers from your own documented material, so it does not invent policy, pricing or availability.
- Guardrails and escalationA clear boundary on what the agent may do alone, and what it must hand to a person: anything emotional, complex, high-value or regulated.
- Audit loggingEvery action the agent takes is recorded, so you can see what happened and why, after the fact.
- Workflow automationThe connective tissue around the agent, in n8n, Make or Zapier, so a decision turns into work done across every tool.
OpenAIClauden8nMakeZapierTwilio VoiceVector search