Today, many people run agents from their browser.
The real power of AI is an autonomous agent that runs without you having to start it or prompt it again. It knows your company's context, has access to the tools it needs, and does the work automatically.
Discovery call by video, no commitment.
Three industries, three agents.
Each agent has a trigger, written work, and a stopping point where a person takes over.
Example
Trades and field businesses
When the agent works
On every incoming request, and every morning before the team heads out.
- 1.Morning thread
- 2.Request intake
- 3.Draft quote
- 4.Appointments
Example
Real estate agencies
When the agent works
On every new lead, and after every viewing.
- 1.Lead capture
- 2.Qualification
- 3.Matching with listings
- 4.Viewing preparation
Example
Professional firms
When the agent works
On every new client, every document received, and the day before every meeting.
- 1.Opening the file
- 2.Document collection
- 3.Reminders
- 4.Meeting preparation
Before we install anything, we talk.
- 01
You describe the work
Your business, the people, the tools already in place, what eats up time every week. A specific request is enough. You don't need an AI project.
- 02
We say what's feasible
One to three missions, written like job descriptions. What the agent would read, what it would prepare, what would stay with the team. If no mission holds up, the call ends there.
- 03
We present the engagement
For the chosen mission: the scope, the connected tools, what will be in place at the end, and the training that goes with it. You decide after the call.
- What's stuck
- The same questions, every evening, about access and times.
- What it reads
- The message and the property sheet. Times, access, house rules.
- What it prepares
- The reply, in the concierge's tone.
- What stays human
- Refunds, damage, neighbour disputes, out-of-policy arrivals.
- Next step
- Write the job description together, then install the agent.
Then, if you go ahead
No catalogue. Timeline and price are set on the call, for that scope.
- 01
The job description is written with you.
- 02
The agent is installed on that mission and connected to the tools you already use.
- 03
Stopping rules are set before it acts. Sending to a client, prices, commitments, disputes, cases it can't classify.
- 04
The people involved get hands-on onboarding with their real messages.
- 05
A tuning session takes place after the first days of use.
Hosting and maintenance
We set up the engine: you keep control of your API keys and your data. The agent is hosted on our infrastructure in Europe, and we keep it running, up to date and monitored.
Hosted in Europe
The agent runs on our European infrastructure. You have nothing to install or watch.
Your API keys, your data
The agent runs on your own API keys, so AI usage is billed to your account. It only has the access listed in its job description, and you can revoke it at any time.
Operations and updates
We monitor the agent, apply updates and adjust its rules when the way you work changes.
Written corrections
When the agent gets a case wrong, the correction is written and dated. Next time, it rereads that rule before acting.
How a deployment works
- 01
We identify the process
We find the process best suited to automation by an AI agent: the one that saves you time and money straight away.
Indicative timelineUsually 1 to 2 hours of work
- 02
We set up the agent
We configure and set up your custom agent.
Indicative timeline1 to 5 days
- 03
We observe
Three days of observation to check that it works and adjust it if needed, before the agent is officially rolled out in your company.
Indicative timeline3 days