Machine intelligence · Agentic AI · Governed swarm management

Machine-intelligence working framework

Agentic Control Plane Reference Architecture

Treat the control plane as a set of durable responsibilities around changing models and frameworks, not as a claim that one product solves every problem.

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Published Updated Reviewed By LongTermIntelligence.com

Direct answer

What belongs in an agentic control plane?

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An agentic control plane manages the responsibilities that must remain consistent across agents and tools: work intake, identity, policy, authority, model and tool routing, context and memory, orchestration, execution boundaries, evaluation, telemetry, budgets, incident response, and shutdown.

  • The control plane is broader than an LLM gateway.
  • Responsibilities may be implemented by several products and services.
  • Execution authority should remain separate from model reasoning.

Source basis: reviewed synthesis of the strategy corpus. Report-derived claims remain subject to the verification boundary in the source library.

Decision framework

Seven responsibility layers

A real architecture assigns each responsibility to an owner and an enforceable component.

LayerPrimary responsibilitiesEvidence
1 · Intent and intakeOutcome, owner, task classification, constraints, prohibited actions, and acceptance criteria.Work record and decision owner.
2 · Planning and orchestrationTask graph, delegation, dependencies, completion, conflict, retry, and stop conditions.Versioned plan and state transitions.
3 · Identity, policy, and authorityAgent identity, least privilege, data and tool policy, approvals, budgets, and shutdown.Policy decisions, grants, denials, and approval IDs.
4 · Context and memoryRetrieval, provenance, isolation, retention, state, update rights, and rollback.Source links, versions, memory writes, and access log.
5 · Execution planeSandboxed tool calls, idempotency, transaction boundaries, side effects, and reconciliation.Tool request, result, external state, and compensation.
6 · Evaluation and evidenceScenario tests, runtime checks, outcome measures, human review, and release gates.Scores, traces, exceptions, and release decision.
7 · Operations and recoverySLOs, cost, capacity, observability, incident response, checkpoints, rollback, and change.Telemetry, runbooks, incidents, and post-review actions.

Use this in practice

Architecture review questions

Unanswered questions become explicit architecture risks or design work.

  • Can every agent and delegated task be identified independently?
  • Can tool and data access be narrowed without rewriting the workflow?
  • Can a consequential action be stopped between reasoning and execution?
  • Can state and memory be versioned, isolated, and rolled back?
  • Can a failed task resume from a trusted checkpoint?
  • Can an operator reconstruct why an action occurred?
  • Can a model, tool, or provider be replaced without losing the operating model?

Downloadable working files

Companion architecture templates

CSV template

Human Authority Boundary Worksheet

Map action-level authority within the reference architecture.

Download CSV

CSV template

Agent Evaluation Scorecard

Define evidence and release gates.

Download CSV

CSV template

Production Agent Risk Register

Connect architecture gaps to owned risk scenarios.

Download CSV

Templates are planning aids. They are not certifications, legal advice, security guarantees, or substitutes for client-specific validation.

Next decision

Map responsibilities before selecting products

Use the reference architecture to expose gaps, overlaps, dependencies, and vendor lock-in in one workflow.

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