We turn repeatable business micro-flows into software, automation and AI-assisted decision systems. The primary current offer is the Plant and Procurement Intelligence Pipeline: graph evidence, shortage exceptions and PO action in one controlled flow.
The lead offer: one sequence for evidence graph, shortage exceptions and ERP-side PO action, with the shared reasoning core made visible.

Enterprise agentic systems need more than a chat interface: operational pipelines, retrieval, graph context, workflow gates, exception queues and deployment habits that do not break the systems already running the business.

Graph evidence, shortage exceptions and PO action in one controlled operating sequence.
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Turn connected enterprise facts into evidence-bound answers that can cite or refuse.
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Rank exceptions, expose shortage risk and improve actionability.
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Connect operational systems while keeping write paths controlled.
Explore ->Plant and procurement intelligence anchors the lineup below. The other products apply the same engineering discipline to agent infrastructure, monitoring and workflow automation.
Agentic query layer proposed on top of a loaded supply-chain graph with provenance and caveats.
Open product ->ShortageWeekly part positions classified against thresholds and ranked by planner actionability.
Open product ->PO intelligenceProcurement intelligence beside the ERP, not inside it: proposal-only and read-only by default.
Open product ->Start with the shared reasoning simulation, then inspect the module views. Follow the decision paths behind the plant and procurement pipeline without leaving the business narrative.
Ask the graph, explain a shortage or generate PO rationale from one shared engine.
View workflow ->Graph/queryRun a question through classify, validate, traverse, bind and answer.
View workflow ->ShortageRun one weekly shortage cycle and inspect planner-oriented output.
View workflow ->PO intelligenceRun a purchase-order review cycle with proposal-only output.
View workflow ->Work is broken into stages, decisions, exceptions, approvals and outputs before anything is called AI.
Systems read from files, ERPs, databases, graphs or vector stores and keep source evidence attached.
The system can recommend, route, draft, score and explain; a person decides before impact.
Enterprise systems stay authoritative. New layers begin read-only and generate proposals and audit records.
Demos include the kinds of incomplete, delayed or unsolved states real operating systems must handle.
Running code, deployed foundations, designed layers and concept mocks are kept separate.