Customer-facing agents
An agent your customers can talk to, with the steps it took visible, not a black box.
AI agents
Agents that answer your customers, take actions in your tools and hand off to people when they should.
Any courts free tonight for 4 people?
Court 2 is free at 6pm. Want me to book it?
An agent your customers can talk to, with the steps it took visible, not a black box.
Jobs that should happen without someone pressing a button.
Built for A2A so your agent can talk to other agents.
A person takes over when the agent should stop.
Limits on what it can do, and a record of what it did.
We write down the job the agent is allowed to do, and where a person still decides.
A first agent you can talk to, on a narrow job, before it is connected to everything.
We connect the tools it needs and test the paths where it should act or stop.
It goes live with logs, and we watch how it behaves.
Answer a customer, look something up, and take an action in a tool you already use. The LiveCourt club agent is the public example: it can check court availability and help a player book. If the job needs a person, it hands over.
We pick the model for the job and tell you which one, and why, before we build. It is not the same model for every agent.
The agent only gets access to what that job needs. We can sign an NDA before we see unreleased systems or data. We will say, before we start, where prompts and records are stored.
It hands off to a person. It is not set up to guess its way through an answer.
Yes, when the tool gives us a way in. Booking, email, calendar and a database are the usual ones. If a tool cannot be connected, we say so before the build.
Running cost depends on how often the agent is used. We scope that with the build, on the call, rather than quoting a flat running fee here.
We'll contact you within 24 hours.
Schedule a 30 minute Google Meet call.
All information you provide is kept confidential. We don't share your personal details with third parties. See our privacy policy.