Abstract enterprise intelligence control plane with luminous agent paths

Agent orchestration

Define what an agent may do, when it must stop, and who approves the write.

Package an objective, permitted context, approved tools, policy checks, and review steps into a workflow with a named owner.

Capability statusPublic architecture and product previewExact availability, provider support, and control ownership are confirmed in a signed pilot scope
Intent
Context
Plan
Policy
Action
Review
Builder

Give teams a controlled way to design and reuse agents.

Agent builders can assemble prompts, context packs, tools, approvals, and policy filters into durable workflows.

  • Create role-based agents for engineering, revenue, support, HR, and operations.
  • Use shared tools and connectors instead of one-off scripts.
  • Test agents against enterprise context before deployment.
Runtime

Keep every agent step grounded and inspectable.

The runtime traces context retrieval, planning, tool choice, policy checks, actions, approvals, and final outputs.

  • Route agents through approved tools and model providers.
  • Pause for human review when confidence, sensitivity, or business risk requires it.
  • Capture execution history for audits and continuous improvement.
Library

Scale from custom workflows to an enterprise agent catalog.

A governed agent library lets teams discover approved automation patterns and adapt them to their departments.

  • Publish agents with ownership, scope, permissions, and version history.
  • Measure performance by task, team, source, and outcome.
  • Retire or refine agents based on usage and risk signals.

Set the limits before the agent runs.

Choose the permitted models, connectors, data scopes, tools, approval owners, and evidence requirements for this workflow.

Judge the system by the work it completes.

Teams automate repeatable work without bypassing enterprise controls.

Builders ship agents against shared context instead of rebuilding retrieval.

Operations leaders can see what agents attempted, changed, and improved.

Architecture session

Bring one consequential workflow. Leave with a governed agent blueprint.

We will map the context, systems, decisions, controls, actions, and success measures together.

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