AI agents for the queue your team never gets to.
An agent reads the incoming request, checks it against your policy, fills in the form and drafts the reply. A person approves it. We build agents like this for email, ticketing, ERP and the systems you wrote yourselves.
How it works
One job per agent
Each agent has one task, one owner and written limits. We map that task with the people who do it today before we write any code.
It works where your people work
Agents connect to email, ticketing and ERP through their APIs. Nobody has to learn a new screen.
A record of every step
What the agent read, what it decided and what it did is logged. You can review it, and so can an auditor.
What is included
- Task mapping with your team
- Agents built on the model that fits your data rules
- Human approval where your policy requires it
- Integration with your existing systems
- Logs and monitoring
- Training and handover
Asked before every project
How is an agent different from a chatbot?
A chatbot answers questions. An agent also takes actions in your systems, such as creating a record or routing a request, within limits you set.
Can it make decisions on its own?
Only where you decide it should. Most agents prepare the work and a person approves it.
Which AI models do you use?
We choose per project, based on accuracy, cost and where your data is allowed to go: a commercial model through a private endpoint or an open model on your own servers.
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Have a case like this on your desk?
Answer a few questions about your work. Someone from the team reads them and writes back with a diagnosis and a first proposal. It takes about two minutes.
Start the conversationOr call +213 791 98 51 35.