The data arrived on time. The decision didn’t.
Your ERP, planning system and warehouse each hold part of the answer. Putting them together still takes meetings, spreadsheets and days you don’t have. The A2go Decision Intelligence Platform (ADIP) coordinates the decision across all of them, on the systems you already run.
Clear to Build. A work order releases Friday. One BOM line out of 214 is short, and a $438,000 shipment is at risk. Equivalent stock exists under another customer’s part number — if the ontology can prove it. Open the worked decision → Opens in a new tab, so this page stays where it is.
Worked example — the customers, SKUs and penalties are synthetic; the mechanics are the product’s.
Databricks published how a coordinated A2go agent system took a regional demand and pricing forecast cycle from 28 hours to under one hour, running on JBS’s own lakehouse with no migration. The wider coordinated agent system at JBS increased profitability by $200 million in Year 1. Read the A2go–Databricks story →
Numbers from live deployments, not a projection.
Regional demand and pricing forecast cycle at JBS — 65 plants, 17 sales channels, 150,000+ customers.
Published by DatabricksProfitability increase in Year 1 at JBS, from the coordinated agent system across demand, production, S&OP and pricing — 60,000+ SKUs simulated in minutes.
A2go–Databricks story →Master production scheduling at a ~$500M industrial manufacturer and distributor. 24 spreadsheets replaced by one coordinated run.
Customer deploymentSee how each was measured Find the operation that looks like yours
Four things have to happen. Most stacks only do the first.
Your ERP, WMS and planning tool each hold part of the answer and none of them is responsible for the whole one. ADIP is the layer that carries a decision from signal to action to memory — on the systems you already run.
Your data, where it already lives
ADIP reads from the ERP, WMS, OMS, planning tool, MES and supplier feeds, reconciles the definitions you have today, and streams each agent exactly what it needs.
Agents that reconcile, not compete
Demand informs the plan, the plan informs inventory, inventory informs the promise, and the promise pushes back as a constraint. One recommendation reaches your planner, not four.
Approved, then written back
Every recommendation carries the trigger, the alternatives, the constraint that applied and the expected impact. A person approves, edits or rejects. Approved actions write back to the system of record.
Your judgment, kept
Which customer you protect when two orders compete. Which supplier’s lead time to distrust in August. When the rule gets broken. None of that is in your ERP — it is in people, and it retires.
Why agentic AI.
Three things are sold as AI. Only one of them makes a decision, and that difference is the whole argument.
“We already have AI.”
Probably true. Almost certainly not this. Three different things are sold under one word, and only one of them closes a decision.
It predicts
Statistical forecasting, demand sensing, anomaly detection. Often already inside your ERP or planning tool. Produces a number.
It explains
Chat assistants and productivity AI. Summarize the report, draft the email, answer a question about the data. Produces language.
It decides and acts
Reasons across data, rules, constraints and tradeoffs from several systems at once, and returns a ranked, costed recommendation ready to approve.
The full comparison, with what each one cannot do See a decision closed end to end
Nothing migrates. Nothing gets replaced.
ADIP sits above the stack, never inside it. Your ERP is still the system of record, still transacting, still doing the job you bought it for. What crosses the boundary is a copy of the data an agent needs at that moment — and an approved decision on the way back.
- Multi-ERP is normal, not an exception. Reconciled against the definitions in your systems today, with no requirement to standardize the estate first.
- Your lake or warehouse gets more valuable. Snowflake, Synapse, Redshift, BigQuery, Delta — read through governed interfaces, not replaced.
- First domain live in 8–12 weeks. One environment, one decision, one measured result before you commit to a second.
- Remove ADIP and nothing breaks. Your systems keep running exactly as they did. You lose the coordination, not the business.
You have the same volatility, but less room to absorb it
A $20B enterprise can survive a two-year data program and a consulting engagement measured in years. A $500M manufacturer has the same tariffs, the same weather, the same three inherited ERPs from the last three acquisitions — and considerably less room to absorb a bad quarter.
The incremental path is not the compromise version for smaller budgets. It is the better path at any size, and at some sizes it is the only one available.
The shortage was never insight. It was everything that happens after it. Mike Romeri, CEO — 40 years in supply chain operations
The profile
Manufacturers and distributors moving physical goods, roughly $400M to $2B in revenue, where planning, inventory, procurement, scheduling and fulfillment decisions carry real financial consequence.
The complexity
Multi-site and multi-ERP. Systems accumulated through acquisition. High SKU counts, constrained capacity, and regulatory obligations that don’t bend.
The signals you already recognize
- Planners spend their time reconciling rather than deciding
- Stockouts and excess inventory at the same time
- OTIF below 90%
- An S&OP cycle nobody believes by week two
Mike Romeri
CEO & Founder
- 40 years in supply chain
- 20+ years Partner, PRTM (now PwC)
- Co-founded OPS Rules with MIT’s David Simchi-Levi — acquired by Accenture
Cesar Oliveira
Chief Operating Officer
- 20+ years ERP transformation
- 25+ enterprise go-lives: SAP, Oracle, Epicor
- Architect of ADIP
Stephen Hutson
CTO & Co-Founder
- 9 years Principal, PwC-PRTM
- Nominated Distinguished Engineer, IBM
- Ran Watson AI & Commerce Analytics, APAC
A2go
Founded 2017
- Built natively on Databricks
- Governed through Unity Catalog
- Delivery team in the US and Brazil
Bring the decision that costs you the most.
Not a platform evaluation. One 30-minute session on where a single decision stalls across your systems, what it is worth, and what a first deployment against it would look like. You leave with a scoped first domain and a timeline.
No migration proposal. No platform commitment.