Key capabilities
Specialised agents
AI agents specialised in distinct areas of a business: marketing, finance, engineering, HR, sales and operations.
Agent-to-agent communication
A communication layer built on Google's A2A protocol, so agents can share context and collaborate on a task.
Squads on demand
Temporary teams of agents, assembled for complex tasks that need more than one speciality.
Learning system
A prompt history fed back into the system, so agents keep improving on the basis of earlier interactions.
Chat integration
Integration with chat tools such as Slack and Microsoft Teams, so people work with the agents where they already are.
Human confirmation
An approval step that requires a human operator to confirm before a task runs, which is where control and safety actually live.
How it works
Task request
A user requests a task in chat, saying what they want done. The system reads the request and works out which agents it needs.
Human approval
The system sends an approval request to the human operator, spelling out the task and the agents involved. The operator can approve, reject or ask for more detail.
Execution
Once approved, the system runs the task with the right agents. If it is complex, it forms a squad of several agents that collaborate with each other.
Delivery
Results come back to the user in chat. The system also stores the interaction so it can learn from it later.
Continuous learning
The system reviews the interaction history to improve how the agents perform. Prompts are tuned against the patterns it finds and the feedback it receives.
Ready to start?
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