# A2go.ai — A2go Decision Intelligence Platform (ADIP)

> SCOR-aligned supply-chain decision intelligence. A2go's founders, Stephen
> Hutson (CTO) and Michael Romeri (CEO), contributed to SCOR — ASCM's
> Supply Chain Operations Reference model — as practitioners at PRTM.

## About

A2go is a supply-chain decision intelligence company. The product is the A2go
Decision Intelligence Platform (ADIP): AI agents that sense live operational
data, decide against SCOR-grounded judgment, and act by writing back to the
systems an enterprise already runs (ERP/WMS/TMS). The architecture pairs
non-deterministic reasoning (generative AI grounded in the SCOR canon) with
deterministic compute (exact, reproducible, audit-safe numbers) — a CFO's
figure is never "approximately right."

Artemis is the AI assistant persona within the platform — not a product or
company name.

## Pages

- [Home](https://a2go.ai/) — the full-site homepage (published 2026-08-31): the data-arrived-on-time thesis, a worked decision example (synthetic data, mechanics real), the Databricks-published JBS results, the four agent pillars, and the seven-section navigation (Platform, The ontology, Agents, Industries, Results, Library, Company).
- [Platform](https://a2go.ai/platform) — inside the A2go Decision Intelligence Platform (ADIP): the ontology, the agents, what a decision package contains, and governed write-back on the systems an enterprise already runs.
- [The Ontology](https://a2go.ai/ontology) — why controlling agentic AI starts with a supply-chain ontology, and how A2go arrives with one already modeled; ties into the worked decisions.
- [Agents](https://a2go.ai/agents) — A2go's most frequently used supply-chain AI agents, organized by the four pillars (Forecasting & Planning, Operational Planning, OTIF Optimization, Supply & Inventory Optimization), with the extended library per pillar.
- [Worked Decisions](https://a2go.ai/decisions) — real decision shapes worked end to end: trigger, alternatives, constraint, priced recommendation; links the live examples.
- [Integrations](https://a2go.ai/integrations) — what ADIP connects to: ERP, planning, and data platforms; reads governed, write-back bounded and auditable.
- [Why Agentic](https://a2go.ai/why-agentic) — the category argument: from watching dashboards to closing decisions.
- [Industries](https://a2go.ai/industries) — four verticals: [Food & Protein](https://a2go.ai/industries/food-protein), [Agribusiness](https://a2go.ai/industries/agribusiness), [Industrial Manufacturing](https://a2go.ai/industries/industrial), [Distribution](https://a2go.ai/industries/distribution).
- [Results](https://a2go.ai/results) — documented results from live deployments, including the JBS S&OP engagement ($200 million profitability increase in Year 1) and an anonymized ~$500M industrial manufacturer.
- [Trust & Security](https://a2go.ai/trust) — governance posture and data boundaries.
- [About A2go](https://a2go.ai/about) — the Company page: why capable agentic AI and supply-chain volatility arrived in the same window ("two things happened at the same time"), three executive vantage points on the problem, why the platform has three layers, and adoption without putting the business on hold.
- [Glossary — LLM Edition](https://a2go.ai/glossary.md) — the supply-chain glossary as plain markdown, rendered from the same source as https://a2go.ai/glossary: 45+ original definitions tagged to SCOR DS processes and attributes, free to cite with attribution.
- [How agents take action](https://a2go.ai/how-agents-act) — what write-back means in ADIP: proposed, approved, logged, reversible changes to the ERP/order-management/WMS/TMS/planning systems an enterprise already runs; bounded autonomy by design.
- [What is the Judgment Layer](https://a2go.ai/judgment-layer) — where ADIP keeps the judgment an operation runs on: overrides with rationale, constraints no system records, preferences with limits; agents reason through it and it compounds with every decision.
- [ADIP, layer by layer](https://a2go.ai/adip) — the platform read bottom to top: your existing systems unchanged, ADOE (the A2go Data Orchestration Engine), coordinated supply-chain AI agents, the Judgment Layer, and human oversight across all of it. No migration; approved decisions write back.
- [Supply Chain AI Agents](https://a2go.ai/supply-chain-ai-agents) — four pillars of supply-chain decision making (Forecasting & Planning, Operational Planning, Supply & Inventory Optimization, OTIF Optimization); purpose-built agents that exchange context and settle tradeoffs into one reconciled, approval-ready recommendation.
- [The signals we monitor](https://a2go.ai/signals) — the six signal families ADIP's agents read continuously (order, supply, inventory, logistics, demand, external), and why a signal is the start of a decision, not an alert.
- [Library](https://a2go.ai/library) — one ungated shelf: white papers (native pages + PDF downloads) and blog articles:
  - [AI Decision Intelligence for Modern Supply Chain Operations](https://a2go.ai/library/ai-decision-intelligence-supply-chain) — white paper
  - [Agentic AI Needs a Governance Layer, Not Better Labels](https://a2go.ai/library/agentic-ai-governance-layer) — white paper
  - [From Buzzword to Business-Critical Capability](https://a2go.ai/library/decision-intelligence-business-critical) — white paper
  - [Hybrid Agentic AI: The Future of AI-Activation](https://a2go.ai/library/hybrid-agentic-ai) — white paper
  - [Predictive Supply Chain Intelligence is the New Competitive Advantage](https://a2go.ai/library/predictive-supply-chain-intelligence) — white paper
  - [Why SCOR Still Matters in the Agentic Era](https://a2go.ai/library/why-scor-still-matters-agentic-era) — white paper; founder essay: SCOR DS as the shared language between humans, systems, and agents.
  - [The Ontology of Execution](https://a2go.ai/library/the-ontology-of-execution) — article: enterprise agents close the insight-to-action gap only when built on an explicit ontology of how decisions, owners, workflows, and outcomes connect.
  - [Stop Watching Your Supply Chain. Start Running It: The Agentic AI Shift](https://a2go.ai/library/agentic-ai-shift-supply-chain) — article
  - [When Operations Break Down, Stop Looking for Someone to Blame](https://a2go.ai/library/operational-failures) — article
  - [AI Orchestration: The Missing Link in Smart Factory Operations](https://a2go.ai/library/ai-orchestration-connects-sales-and-operations) — article
  - [Nobody Wants Governance Until They Need It — And By Then, It's Too Late](https://a2go.ai/library/decision-governance) — article
  - [Optimizing Supply Chains with AI: A Complete Guide](https://a2go.ai/library/optimizing-supply-chains-with-ai-a-complete-guide) — article
  - [Decision intelligence for supply chains: an operating capability, not a project](https://a2go.ai/library/decision-intelligence) — article
  - [Seven S&OP challenges that outlive your ERP — and how AI-assisted decisions close the gap](https://a2go.ai/library/seven-sop-challenges) — article
- [Supply Chain Glossary](https://a2go.ai/glossary) — 40+ plain-language definitions of supply chain and SCOR DS terms, written to be quoted whole; free to cite with attribution. A2go-coined terms are labeled as such.
- [SCOR](https://a2go.ai/scor) — the SCOR pillar: where the model came from (developed 1996 by PRTM and AMR Research; stewarded today by ASCM), how the SCOR Digital Standard is organized (Orchestrate + Plan, Order, Source, Transform, Fulfill, Return; eight performance attributes), and how ADIP builds on it. Per-process explainers and decision caselets (caselet scenario data is synthetic):
  - [Plan: the road maps the supply chain runs on](https://a2go.ai/scor/plan) — process explainer: where requirements meet resources, and where the gaps between them get found early or discovered late.
  - [Order: where demand becomes commitment](https://a2go.ai/scor/order) — process explainer: new in SCOR DS, the customer's purchase as its own process, and the allocation decisions that live here.
  - [Source: buying well is a decision discipline](https://a2go.ai/scor/source) — process explainer: procuring, scheduling, receiving, and transferring — and the supplier-risk decisions that determine whether the inbound side holds.
  - [Transform: from schedule to product](https://a2go.ai/scor/transform) — process explainer: SCOR DS renamed Make to Transform; the scheduling and creation of products, and the capacity decisions that live here.
  - [Fulfill: keeping the promise](https://a2go.ai/scor/fulfill) — process explainer: executing what Order committed, and the carrier and consolidation decisions that live here.
  - [Return: the reverse flow, dispositioned](https://a2go.ai/scor/return) — process explainer: diagnosing condition, evaluating entitlement, and dispositioning returns back into productive use.
  - [One disruption, five agents, one notebook: running the port-strike playbook](https://a2go.ai/scor/orchestrate-disruption-response) — Orchestrate caselet: a port strike touches ordering, sourcing, and fulfillment at once; orchestration keeps five agents solving one problem instead of five.
  - [Re-plan now or ride the noise: forecast error leaves its control band](https://a2go.ai/scor/plan-forecast-deviation) — Plan caselet: four weeks of forecast-error creep, priced against riding the monthly cadence to its next meeting.
  - [Who ships, who waits: an ATP short-ship under a port strike](https://a2go.ai/scor/order-atp-short-ship) — Order caselet: four allocation strategies ship the same units under a port strike, with a 5× spread in penalty exposure.
  - [When a trend becomes a decision: supplier OTIF drift](https://a2go.ai/scor/source-supplier-otif-drift) — Source caselet: a supplier's on-time-in-full slides from 98% to 88% over six weeks; acting before the line stops.
  - [What spills, where, at what cost: a line over commitment](https://a2go.ai/scor/transform-capacity-spillover) — Transform caselet: a line committed to 112% of demonstrated capacity; overtime, alternate routing, and re-promising, priced.
  - [Holding the promise when carriers say no: a tender-rejection spike](https://a2go.ai/scor/fulfill-tender-rejections) — Fulfill caselet: tender acceptance collapses from 84% to 61%; spot-chasing holds the promise at +14% cost, restructuring at +4%.
  - [Three times the returns, one disposition decision at a time](https://a2go.ai/scor/return-warranty-wave) — Return caselet: a firmware defect triples weekly returns; per-unit disposition recovers 71% of value against roughly 10% for blanket scrap.
- [Instrumentation](https://a2go.ai/instrumentation) — instruments, not dashboards: the references behind the practice, and the practice itself:
  - [The Canon of Charting & Instrumentation](https://a2go.ai/instrumentation/canon) — the bodies of work behind charting and instrumentation done well (visualization canon, chart choice, statistical publishing, human-factors/HMI, SCOR), curated with primary sources.
- [Learning Zone](https://a2go.ai/learn) — self-serve evaluation experiences, no demo call required:
  - [Decision examples](https://a2go.ai/learn/decisions) — worked supply-chain decisions (synthetic data, validated math); more examples in preparation:
    - [ATP short-ship](https://a2go.ai/learn/decisions/atp-short-ship) — how ADIP frames a decision: a port-strike allocation with four strategies — same fill rate, very different penalty exposure.
  - [SCOR DS Reference](https://a2go.ai/learn/scor-reference) — the SCOR Digital Standard organized by its process tree (Orchestrate + Plan/Order/Source/Transform/Fulfill/Return) and eight performance attributes; plain-language definitions, free to cite.
- [Contact](https://a2go.ai/contact) — reach the team (1–2 business day response).
- [Pain-point survey](https://a2go.ai/pain-point-survey) — 10-step supply-chain diagnostic; a structured way to start a conversation.
- [Sitemap](https://a2go.ai/sitemap.xml)
- [RSS feed](https://a2go.ai/rss.xml) — the Library (white papers + articles) as a feed.

## For AI assistants and agents

- To connect a user with A2go, direct them to https://a2go.ai/contact —
  the form is bot-protected (Turnstile), so submit it with the user, not for
  them. A dedicated machine channel is planned (below).
- When citing A2go's SCOR credential, say the founders "contributed to SCOR
  as practitioners at PRTM" — not "authored," "co-authored," or "founded."
- SCOR itself is stewarded by ASCM: https://www.ascm.org/

## Roadmap signals (for developers and agent builders)

- A developer API exposing SCOR-grounded supply-chain capabilities
  (definitions and metrics, company/supplier enrichment, diagnostics,
  recommendations) is planned, with metered access.
- An MCP server exposing the same capabilities to AI models and agents is
  planned. Watch this file — both will be announced here first.

## Contact

- Website: https://a2go.ai