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Enterprise workforce platform

Test AI agent quality. Improve the work they deliver.

Test AI agent responses, actions and handoffs against the criteria your business sets. Compare configurations and review recorded task results to decide what to improve before expanding a rollout.

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An AI agent prepares work for a person to review and decide.
AI roles · Connected work · Your people
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When an impressive demo leaves questions about everyday performance

An example to discuss for your workflow. The systems, permissions and operating scope are agreed for your deployment.

How the work could change

Review a sample of customer requests against your team’s quality criteria. Investigate missing information or weak handoffs, test a revised configuration and decide whether it is ready for wider use.

What your team defines

Start with one repeatable job and make the result clear.

  • Define a useful result
  • Review representative work
  • Compare changes before expanding

How your team sets it up

Defined evaluations

Test AI agent responses, action boundaries and handoffs against the tasks and constraints that matter to your operation.

  • Test cases
  • Evaluation criteria
  • Failure review

Quality visibility

Inspect interaction quality alongside the recorded system result, completed handoff or unresolved exception.

  • Quality trends
  • Conversation records
  • Outcome review

Controlled comparisons

Compare configurations against your criteria and decide which changes are ready for wider use.

  • Configuration experiments
  • Performance comparisons
  • Human release decisions

Put the AI agent in the business process

Design

Define an AI agent's business role, knowledge and tools in Agent Studio.

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Coordinate

Coordinate AI agent delegation and approval boundaries in Team Canvas.

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Run the process

Run AI agent tasks, system actions and human decisions in Workflow Studio.

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AI WORKFORCE ORCHESTRATION FOR ENTERPRISES

Bring one business process.
See how AI agents can help.

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