Incident triage
Gather context from several sources before a person steps in.
Agents that use your organisation's tools and data to complete tasks, with tightly scoped permissions and human oversight.
An agent that can act on real systems expands what AI can do, and also what can go wrong. Without permission limits, traceability and approval points, the risk outweighs the benefit.
Five phases, always in the same order. Select each one to see what happens in it. In full projects they map onto the stages of our method.
We identify the use case, the data available, the risks and how success will be measured.
We design the solution: models, data, integrations, security controls and traceability.
We build the agent with its tools, least-privilege permissions and human approval points.
We test the agent with real cases and manipulation attempts before giving it access to more systems.
We tune the system based on real usage and monitor the system like any other production service.
Gather context from several sources before a person steps in.
Prepare routine changes for approval.
Answer questions by querying internal systems.
Only for the actions you define as safe. Everything else requires human approval.
Every step is logged: what it requested, which tool it used and what result it got.
We test the agent against prompt injection and limit its permissions to contain the impact.
Tell us about your situation. If this service is not what you need, we will tell you; if it is, we will propose a concrete first step.
Request this service