AI agents

AI agents that take whole tasks off your team.

Not a chat window: an agent that does a job end to end inside your tools, logging, qualifying, drafting, alerting, and asks a person when the call is expensive.

Book a diagnosis

What it does

Jobs an agent can own

Logging and data entry

A voice note after a visit becomes a clean CRM record, with the right client and the details filled in.

Qualifying enquiries

Reads every incoming request, asks what is missing and routes it to the right person with context.

Drafting

Quotes, replies and summaries prepared with your data, ready for a person to send.

Watching and alerting

Spots maintenance that is due, deals going cold or anything off pattern, and tells the team.

In production

AGC: from the visit to the pipeline with one voice note

Reps record a minute of audio after each visit. Agents transcribe it, identify the right client, update the commercial memory, detect opportunities and propose the plan for the day. In daily use since August 2026; more than 20 new clients reached a week.

See the real case

How we build it

Four clear stages. No surprises.

01
Map
AI diagnosis
How your team works, what data you have and where the hours go.
02
Confirm
Closed scope
The highest-impact tool, with scope, timeline and price in writing.
03
Build
Weeks, not months
Frequent progress with your real data. You see it working early.
04
Deliver
And stay with you
Training, documentation and fine-tuning with real use.

FAQ

Questions we hear

What is the difference between an AI agent and a chatbot?

A chatbot answers questions. An agent takes actions: it reads, decides within the limits you set and writes into your systems, like creating a record or drafting a quote. Many of our systems use both.

Can an agent act inside our existing tools?

Yes. We connect agents to the tools you already use, such as your CRM, Google Workspace, Microsoft 365 or a database, with only the permissions each job needs.

How do you keep agents from making costly mistakes?

The agent proposes and a person approves wherever an error is expensive. We also audit what agents produce and leave monitors that alert when something drifts.

How long until an agent is working?

Weeks, not months. We start with one job that hurts, put it in production with your real data and add more from there.

Start with what hurts most.

A diagnosis first: where your team loses time, and which tool would give it back.