Autonomous Agents
Autonomous Agents

One agent coordinating across every system you run

Enterprise work rarely lives in a single app. Agents orchestrate across Salesforce, ServiceNow, Workday, Slack, Jira, and your custom stack — as if they were one tool.

Central agent coordinating many systems

Ask a human to onboard an employee and they touch five systems. Ask an AI to do it and most stop at the first API call. Multi-system orchestration is what it takes to finish the task — sequencing, retries, compensating actions, and a single audit trail across all of it.

How work threads through many tools

  1. 01

    Discover and describe

    Each integrated system exposes its capabilities as typed tool definitions the agent can reason about — not raw OpenAPI dumps.

  2. 02

    Plan the order

    The agent sequences tool calls to respect dependencies: create the Workday record before provisioning access, provision access before inviting to Slack.

  3. 03

    Compensate on failure

    When a later step fails, earlier steps roll back automatically via compensating actions — no orphaned accounts, no half-finished tickets.

What this enables

200+ native integrations

Connectors for the systems enterprise work actually runs on: ITSM, ERP, HRIS, CRM, finance, collaboration.

Transactional semantics

Multi-step operations either fully complete or fully revert, with a single audit record covering every tool involved.

Tool-use caching

Repeated lookups are cached within a run so the agent doesn't burn tokens or rate limits re-fetching the same record.

Typed state handoffs

Outputs from one tool become typed inputs to the next — no string-hacking, no silent schema drift.

Ready to put intelligence in motion?