§ 01 — Platform OverviewDocument · REG-PO-2026.04

AI agents need a stage.
Every stage needs a régisseur.

A régisseur keeps every performer and every cue in sequence. Regisseur is the System of Action where AI agents and humans turn operational signals into assigned, executed, reviewed, and recorded work.

Book a walkthrough How it stays safe to deploy
Sits above Systems of Record and Insight.
Live in weeks, not months.
System categorySystem of Action
Configurable primitivesProcess · Tools · Agents · Integrations
System boundaryRecords + insights
Execution modelDeterministic · auditable
Time to configureWeeks, not quarters
Deployment ModelLocal-first · on-prem capable
§ 02 — The missing layer

Records hold what happened. Insights show what matters. Regisseur acts.

SYSTEM OF ACTIONRegisseur

The governed surface where signals become assigned, executed, reviewed, and recorded work.

ProcessToolsAgentsIntegrations
SYSTEMS OF RECORDHold what happened

Authoritative operational history. Unchanged, not replaced.

ERPCRMTMSDocument storeCore database
SYSTEMS OF INSIGHTShow what matters

Analytics, forecasts, scores, and signals that inform the next move.

BIAnalyticsForecastingMarket dataScorecards
§ 03 — How it works

Four configurable primitives. One operating surface.

01

Process

The steps, states, handoffs, deadlines, approvals, and recovery paths that define how work actually moves.

02

Tools

The bounded capabilities agents and humans can call: read, write, transform, notify, sign, escalate, or verify.

03

Agents

AI teammates with versions, ceilings, input contracts, output schemas, and explicit ownership inside the process.

04

Integrations

Connections to systems of record through scoped provider and MCP contracts — not unbounded access.

§ 04 — Product proof

The System of Action becomes a workspace.

The macro layer shows up as a live case: process graph on the left, agent work and human review on the right, every operational signal carried forward as assigned, reviewed, and recorded work.

Read the operational reality
Regisseur case workspace showing a process graph, agent task status, and a human review queue
Case workspaceProcess graph · agent work · review queue
§ 05 — What the platform does

The team, the process, and the next decision stay in one frame.

01Team Layer

Coordinates the team

Humans and agents share ownership of the same operational process. Every task has an accountable owner, an autonomy ceiling, and an escalation path.

  • MembersHuman + AI
  • OwnershipNamed
  • EscalationExplicit
02Execution Layer

Executes deterministically

The process runs as typed, repeatable steps. AI reasoning is one bounded tool inside the process, not the process itself.

  • StepsTyped
  • ToolsBounded
  • ChangesVersioned
03Decision Layer

Surfaces the next decision

The next action arrives with context, confidence, lineage, and the reason it needs a human or agent owner. The why travels with the work.

  • ContextComplete
  • LineageAudit-linked
  • ConfidenceVisible
§ 06 — Safe to deploy

Six structural guarantees. Before the first process goes live.

S.01

Audit trail on every decision

Reconstruct any work item — what happened, who decided, on which version of the rules.

S.02

Regulatory versioning

Past work remains re-runnable on the exact forms and agents that were live when the process started — even after rules change.

S.03

Configurable autonomy ceilings

Every agent operates within a ceiling set by operations — always review, graduated, or fully autonomous. The agent cannot exceed it.

S.04

Deterministic processes

Agents run typed, repeatable process steps. AI reasoning is one step — not the driver.

S.05

Workspace-wide emergency brake

One action pauses every agent, queue, and outbound message across the platform.

S.06

Configurable without engineers

Process managers build and adjust operational processes in conversation — not sprints.

You never trust the AI. You trust the deterministic boundaries constraining it.

Read the full governance model
§ 07 — Why the scaffolding matters

RPA breaks on judgment. LLMs break on accountability.

RPA cannot adapt when the work requires judgment. Agent frameworks can reason, but they do not provide causal audit, runtime compliance, autonomy ceilings, or an emergency brake. Regisseur is the production scaffold for operating AI in real workflows.

ApproachCognitive adaptabilityCausal auditRuntime complianceAutonomy ceilingEmergency brake
Legacy RPANoneLogs onlyOffline policyN/AManual
LLM-on-RPA bolt-onYesOpaquePolicy driftNoNo
Agent frameworkYesTool logsDeveloper effortPrompt-levelNo
RegisseurYesAppend-only · replayableTier 1 · enforcedEngine-level · earnedWorkspace-wide

LangChain builds the agent. Regisseur is the production scaffolding required to operate it.

§ 08 — Solutions

One platform. Many operational teams.

Live pattern

Term life intake

Configured in 6 weeks · advisor domain expertise

A regulated intake-to-decision process with human review gates, external evidence collection, and signed-output lineage.

Read the Term Life brief
Configurable

Claims operations

First-notice intake · evidence chase · decision review

The same primitives model a claim as a process owned by adjusters, specialist reviewers, and bounded agents.

Discuss claims operations
Configurable

Supply chain operations

Exception routing · vendor follow-up · approval loops

Operational work with systems of record, external parties, and SLA pressure can be configured without rewriting the engine.

Discuss supply chain
§ 09 — Deployment-ready operations

Not just configurable. Deployable, testable, and promotable.

D.01

Workspace providers

Mail, messaging, signing, and error reporting resolve per workspace. Admins test connections; every write is ledgered.

D.02

Signing as a process pause

A process can halt on an external signature, render a token-gated signing portal, then resume the cascade on completion.

D.03

On-prem capable data plane

Local Postgres, storage, queue, and DocuSeal support regulated evaluations without a hosted product data plane.

D.04

Signed vertical bundles

Workflow templates, agents, forms, documents, and tools move between workspaces as audited operational packages.

The product story now extends past orchestration: Regisseur can configure the workspace, prove the provider path, and package the vertical.

See the deployment model
§ 10 — How the work splits

Seamless human–AI teams. Bounded by design.

Agent team · Humans
Judgment & escalations
  • FocusComplex work
  • OwnsOperational outcomes
  • WorkExceptions · approvals · decisions
  • SpeedValue-added · no re-keying
AI team · Bounded agents
Orchestration & follow-up
  • OrchestratesFollow-up loops and tool calls
  • ApprovalsMandatory human sign-off where required
  • FlagsLow-confidence → human owner
  • NeverOverrides autonomy ceiling
§ 11 — Start a workspace

A 45-minute walkthrough.
Your process, configured as a team.

Bring one operational process with human judgment, system data, and repeatable follow-up. We’ll map the process, the tools, the agents, and the first review gates.

Book the walkthrough See process design
Contact
info@regisseur.ai
Web
regisseur.ai
Commercial
Workspace · team · process deployment
Classification
Platform overview · confidential