Every feature is designed to make agents more reliable, cost-effective, and easy to scale across your organization.
Trelium separates reasoning from predictable software actions. Model credits are used when an agent needs judgment, not when it is simply entering data, moving records, or following a known path. This makes production agents far more cost-effective.
Describe the work in plain English. Trelium turns the request into a structured, editable agent workflow that your team can review and improve.
Connect agents to the business software your teams already use, with built-in integrations across more than 3,200 applications.
When a connector is unavailable, browser agents can navigate approved web software and complete work through the interface.
Share an agent across your organization while each person runs it with their own inputs. Workflow updates roll out centrally, so capability stays reusable and current.
Start with agents built for common business use cases. Clone a template, tailor it to your process, and get to a working agent in less time.
See every task an agent completed and the credits it used. Detailed run logs make usage clear and help teams connect AI spend to real work done.
If a task fails, the agent investigates the root cause, tries to correct the problem, and retries the work instead of stopping at the first exception.
Add review and approval steps before an agent completes sensitive tasks. People stay in control whenever judgment or sign-off matters.
Ground agents in your policies, playbooks, documents, and team context so they can make better decisions and work consistently.
Put the platform to work
We'll map the work, show where reasoning is actually needed, and outline how Trelium can run it across your systems.