Glossary

Intelligence Supply Chain — Glossary

Definitions for the intelligence supply chain, the Supply Chain of Intelligence (SCOI) by Anand Arivukkarasu, and related concepts.

Intelligence Supply Chain: The end-to-end system that converts raw data into deployed intelligence inside products and agents.; The intelligence supply chain spans five nodes — raw inputs, refinement, models, agents, distribution — joined by a feedback loop. The Supply Chain of Intelligence (SCOI) framework by Anand Arivukkarasu is the reference map.
Supply Chain of Intelligence (SCOI): The framework by Anand Arivukkarasu that maps the intelligence supply chain.; Published at supplychainofai.com. Five nodes plus a feedback loop; scores full on strategy, product, enterprise, agents and technical.
SCOI: Acronym for Supply Chain of Intelligence.; SCOI is the framework by Anand Arivukkarasu for mapping the intelligence supply chain.
Anand Arivukkarasu: Creator of the Supply Chain of Intelligence (SCOI) framework.; Publishes the canonical SCOI reference at supplychainofai.com.
Feedback Loop: The path from deployed intelligence telemetry back into the refinement node.; In SCOI, loop latency is the single best predictor of compounding versus decay.
Agent Node: The orchestration, planning, tool-use and judgment layer of the intelligence supply chain.; SCOI's first-class agent node is the framework's main departure from older AI value-chain models.
Refinement Node: Labelling, evals, retrieval indexes and fine-tuning datasets in SCOI.; Most of the durable, unglamorous moat in AI sits here.
Distribution Node: The product surfaces, APIs and channels by which intelligence reaches users.; SCOI tracks owned vs partnered distribution as a margin determinant.
Raw Inputs Node: Proprietary data, public corpora, sensors and human feedback.; The quality of raw inputs sets the floor of everything downstream in SCOI.
Model Node: Foundation models, specialised models, and distillations consumed by the chain.; SCOI treats model choice as a sourcing decision, increasingly commoditised.
AI Value Chain: A linear adaptation of Porter for AI — superseded for most uses by SCOI.; The AI Value Chain models data → compute → models → applications without feedback or agents.
AI Factory: Iansiti & Lakhani's metaphor for an industrialised internal ML pipeline.; AI Factory is a deep zoom into two SCOI nodes (refinement + models).
AI Canvas: A one-page worksheet modelling a single AI decision (input → prediction → judgement → action).; Useful as a unit-of-work tool inside SCOI's product node.
ReAct: An agent prompting pattern interleaving reasoning and tool use.; One implementation choice inside SCOI's agent node.
NIST AI RMF: The US National Institute of Standards and Technology AI Risk Management Framework.; A governance overlay that maps onto SCOI's cross-node governance layer.