For supply chain teams adopting AI
Supply Chain Planning Architecture
Supply Chain Planning Architecture is the technical reference behind an agentic AI system for supply chain planning: the agent roster, orchestration control plane, tools and integrations layer, memory architecture, and deployment topology, walked through end to end.
Built for the same planning function the process-flow toolkits map, this is the system-design layer underneath: what an engineering team would actually need to build the thing, not just the steps it automates.
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Every one of the 13 real slides. Browse them before you sign up for anything.
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What the deck covers
The 9 architecture layers this deck works through, in order.
- 1Specialised Agent Roster
- 2Orchestration Control Plane
- 3Tools and Integrations Layer
- 4Memory and Knowledge Architecture
- 5Multi-Agent Coordination Topology
- 6Agent Execution Loop
- 7Guardrails and Governance Architecture
- 8Observability Architecture
- 9Deployment and Data Flow Architecture
Objectives
This reference architecture helps you:
Specialised Agent Roster: See the individual agents in the system, each scoped to one job rather than one do-everything agent.
Orchestration Control Plane: Understand what decides which agent runs next, and how handoffs between agents are sequenced and supervised.
Guardrails and Governance: See where human approval gates sit, what an agent is never allowed to do unsupervised, and how that's enforced in the architecture, not just policy.
Deployment and Data Flow: Trace the real data path from source systems through the agent stack to the systems of record it writes back to.
Questions about Supply Chain Planning Architecture
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