Intelligence

AI Agents

Model-backed workers with clear boundaries and controls

Scope agents to tools, data, and escalation rules so they work inside policy, not around it.

For builders and ML leads

Define the agent

Define role, instructions, and allowed tools in one place before an agent touches production systems.

  • Role and instructions in a single editable definition
  • Preview behaviour before you enable the agent
  • Reuse agents across multiple workflows

For security and compliance

Keep agents inside policy

Send cases that need judgement into approvals or queues, then resume the agent or workflow with the decision.

  • Request Approval steps and approval inbox
  • Queues for operator work items
  • Full case context on the handoff

For ops and audit

Review what happened

Inspect prompts, tool calls, and outputs as a single trail for review after a run.

  • Prompt and tool-call trail for every task
  • Step outcomes visible in the chat timeline
  • Enough context for ops and compliance review

Built for teams that already take infrastructure seriously.

  • CTOs and platform teams evaluating fit with your reference architecture
  • Security and compliance reviewing data residency and access control
  • Operations teams that need attributable runs, not black-box automation
  • Builders who want unlimited usage under a flat licence