Decision intelligence, in depth.
White papers and articles on agentic AI, governance, and turning supply chain data into decisions that move the business. Written by the team that builds the platform.
AI Decision Intelligence for Modern Supply Chain Operations
Most midmarket manufacturers and distributors are sitting on more data than ever, yet the distance between what they can see and what they can act on is where margin leaks out.
Decision Intelligence
Worked decisions, not write-ups.
Each one pins a single decision and shows the whole anatomy of it — the signal, the systems consulted, the recommendation, and what every alternative would have cost. Two are worked in full and clickable end to end; five more are in preparation.
Clear to Build
The work order releases Friday. One BOM line out of 214 says no, and a $438,000 shipment is at risk. Equivalent stock exists under another customer’s part number — if the ontology can prove it. Change the unlock path and watch the cost move.
Worked example — the customers, SKUs and penalties are synthetic; the mechanics are the product’s.
Open the clickable example →
Worked in full · SCOR Plan / OrderATP short-ship
A priority customer is about to be short-shipped. Four allocation strategies ship the same 8,600 units with very different penalty exposure. Here is who ships, who waits, and what it costs.
Open the clickable example →
Supplier OTIF drift
A key supplier’s on-time-in-full is drifting. When does a trend become a decision?
In preparation
Forecast deviation
Four weeks of MAPE creep on one family. Re-plan now, or ride the noise?
In preparation
Capacity spillover
Line 2 is over commitment for the week. What spills, where, and at what cost?
In preparation
Inbound reroute
A port closes overnight. Which inbound lanes move, and what does each day of dwell cost?
In preparation
Safety-stock rebalance
Service targets moved. Where does the buffer belong now — and what frees up?
In preparation
The long-form arguments.
Where the thinking is worked through in full — architecture, governance and the economics of deciding faster.
Why SCOR Still Matters in the Agentic Era
AI agents can read anything, so why would a process framework born in 1996 matter more now? Because agents raise the price of ambiguity.
SCOR · Agentic AI · Decision Intelligence
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White paperAgentic AI Needs a Governance Layer, Not Better Labels
The debate over what qualifies as an agent misses the point. The real question is which actions may be automated, who owns the outcome, and when human authority intervenes.
Agentic AI · Governance
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White paperPredictive Supply Chain Intelligence is the New Competitive Advantage
Financial engineering, cost elimination and incremental operational improvement are no longer enough. Predictive supply chain intelligence is where durable advantage now comes from.
Supply Chain · Decision Intelligence
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White paperFrom Buzzword to Business-Critical Capability
Most organizations sit on mountains of data, yet only a fraction of it informs the decisions that drive performance. How decision intelligence becomes a repeatable capability.
Decision Intelligence
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White paperHybrid Agentic AI: The Future of AI-Activation
Maximize impact, minimize change. If you are dealing with excess inventory, slow order-to-cash cycles and demand-planning guesswork, hybrid agentic AI layers over the systems you already run.
Agentic AI · Decision Intelligence
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Shorter pieces, same argument.
Decision intelligence for supply chains: an operating capability, not a project
A continuous lifecycle of designing, executing and improving decisions, run as a performance program with KPIs and owners, rather than a one-off modeling exercise.
Decision Intelligence · Supply Chain · Agentic AI
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ArticleSeven S&OP challenges that outlive your ERP
ERP systems record what happened; S&OP is about deciding what to do next. Seven persistent planning challenges that live in that gap.
S&OP · Agentic AI · Supply Chain
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ArticleThe Ontology of Execution
The next advantage comes not from more dashboards or models but from systems that turn business intent into coordinated action, built on an explicit ontology of how decisions connect.
Agentic AI · Governance · Supply Chain
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ArticleStop Watching Your Supply Chain. Start Running It.
Most companies are paying for AI that tells them what is wrong. Very few have AI that actually fixes it.
Agentic AI · Supply Chain · Forecasting
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ArticleAI Orchestration: The Missing Link in Smart Factory Operations
The sales-operations divide is a decision architecture problem. Edge AI, orchestrated agents and decision memory together close it.
Agentic AI · S&OP · Decision Intelligence
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ArticleWhen Operations Break Down, Stop Looking for Someone to Blame
Most operational failures trace back to broken systems, not individual error. Why blame culture and decision debt keep operations from improving.
Decision Intelligence · Supply Chain · Governance
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ArticleOptimizing Supply Chains with AI: A Complete Guide
How AI closes the gap between supply chain data and decisions — building decision intelligence as a continuous operating capability rather than a one-off modeling project.
Decision Intelligence · Supply Chain · Forecasting
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ArticleNobody Wants Governance Until They Need It
Decision governance is the accountability framework behind trustworthy, explainable AI decisions, and the organizational pain that only surfaces after something has gone wrong.
Governance · Decision Intelligence · Agentic AI
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Written up by someone other than us.
A2go on Databricks
Databricks' own write-up of the apps A2go runs on its platform, and the deployment behind the 28-hour to under-one-hour forecast cycle.
Read it on databricks.com →
AssessmentAI readiness survey
Ten minutes and twenty questions across the four pillars. A written read on where your decisions stall, whether or not you ever talk to us.
Take the survey →
Read enough. Bring us the decision.
Thirty minutes on the decision that costs your operation the most, mapped across the systems you actually run.