S/Runtime
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Abstract enterprise intelligence control plane with luminous agent paths

Durable agent runtime

Keep long-running agent work recoverable.

Persist state across tool calls, outages, waiting periods, and approvals; prevent duplicate writes; and give operators a clear recovery path.

Talk to an architect Platform overview
Capability statusPublic architecture and product previewExact availability, provider support, and control ownership are confirmed in a signed pilot scope
Receive objective
Assemble context
Plan bounded steps
Evaluate policy
Execute and recover
Verify outcome
Durability

Keep work alive beyond a model response.

The execution engine persists objectives, plans, tool results, approvals, and business state across long-running workflows.

  • Resume runs after timeouts, system outages, and delayed human decisions.
  • Use idempotency and checkpoints to prevent duplicate writes.
  • Coordinate parallel and dependent steps without losing execution state.
Control

Evaluate risk before each state change.

Every tool call passes through identity, scope, policy, confidence, and approval checks at the moment of action.

  • Constrain agents to approved tools, records, fields, and action types.
  • Escalate ambiguous or high-impact decisions to accountable reviewers.
  • Pause or terminate runs when context, policy, or system state changes.
Recovery

Design failure handling as part of the workflow.

Retries, fallbacks, compensating actions, and operator intervention are modeled before an agent reaches production.

  • Choose retry and fallback behavior by tool, error class, and business risk.
  • Reverse or reconcile partial changes through defined compensation paths.
  • Verify accepted outcomes against source-system state, not model confidence alone.

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.

Agents complete multi-step work without losing state across systems, waits, or approvals.

Operators can pause, inspect, resume, retry, or reverse a consequential run.

Every completed workflow carries the evidence required to verify the business result.

Agents

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

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Context layer

Resolve company terms, people, permissions, relationships, and current workflow state into context that can be traced back to its sources.

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Security

Check identity, permissions, data policy, model policy, and action scope during the run, then retain the evidence required for review.

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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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