Architecture

Intelligence around the enterprise. Control remains explicit.

The architecture separates systems of record, operational context, agent orchestration and human accountability so enterprises can scale AI without losing traceability or decision ownership.

Reference model

Four layers. Clear boundaries.

Not every workflow should be autonomous. The architecture makes read, recommend, approve and act boundaries visible by design.

4 · Human accountabilityDecision rights, approvals, exception handling, ownership and escalation.
3 · Governed Agentic AIReasoning, recommendations, multi-step workflows, controlled tool use and audit trails.
2 · Operational intelligence & semantic contextCanonical business entities, events, policies, KPIs, retrieval context and cross-system signals.
1 · Enterprise systems of recordERP, PLM, CRM, CPQ, MES, Quality, document repositories, data platforms and approved external sources.
Architecture principles

Designed for industrial operating reality.

Read-only firstBegin by observing trusted systems and producing recommendations before expanding to controlled write actions.
System-of-record integrityAI does not become a shadow ERP. Authoritative transactions remain in governed enterprise applications.
Human-in-the-loop where value or risk is materialApproval gates are tied to decision significance, policy and confidence—not added as an afterthought.
Traceable reasoning and evidenceRecommendations should carry source context, assumptions and accountable ownership sufficient for review and audit.
Least-privilege agentsEach agent receives only the tools, data and action scope needed for its defined operating role.
Outcome telemetryArchitecture should measure whether interventions improved cycle time, revenue protection, margin, productivity or other agreed outcomes.
Typical integration pattern

Observe → contextualize → recommend → approve → act → verify.

This operating loop allows enterprises to increase autonomy gradually while preserving evidence, controls and a measurable business objective.

Observe

Read approved events, status, documents and master/transaction data.

Contextualize

Resolve business entities, policies, dependencies, history and risk signals.

Recommend / act

Generate the next best action or execute within explicitly approved tool boundaries.

Verify

Measure the resulting operational and economic outcome and retain the audit trail.

Next step

Architecture should follow the business decision—not precede it.

Start by identifying the few workflows where better intelligence and controlled agency can materially improve enterprise performance.

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