AI2COE AI ERP connects native module workflows, enterprise records, governed AI agents, approval context, and audit evidence. Industrial IQ provides diagnostic evidence where exported source-data review is needed — Get an AI ERP demo →
AI ERP

AI ERP product demo path for module-wide evaluation.

Request an AI2COE AI ERP product demo covering module workflows, source objects, evidence outputs, governed agents, approval boundaries, and Industrial IQ diagnostic controls.

DemoModule-wide walkthrough
BoundaryNo private data in contact form
Next stepControlled evaluation
AI2COE AI ERP synthetic procure-to-pay lifecycle showing requisition, approval, purchase order, receipt, invoice match, exception review, human decision, and audit state.
The product demo follows a synthetic procure-to-pay lifecycle from request to reviewed decision without claiming customer outcome or benchmark evidence.
Short answer

Use the demo to test the full AI ERP product story before sharing private data.

The AI2COE AI ERP demo path shows how an enterprise can evaluate module workflows, source-object evidence, governed recommendations, confidence tiers, owner review, no-write-back boundaries, and agent authority before any production transaction authority is considered.

Demo inputBusiness process, source-system context, module, role, and decision boundary.
No private data neededThe general contact path should not receive private operational data.
OutputProduct fit, module path, evidence needs, and next diagnostic recommendation.
Demo flow

Five-step AI ERP product evaluation.

Demo step

1. Choose the business process

Select finance, procurement, inventory, manufacturing, supply chain, maintenance, asset, material master, governance, quality, project, service, or agentic ERP.

Demo step

2. Identify source records

Name the ERP, EAM, CMMS, inventory, procurement, finance, work-order, asset, or service records needed for the decision.

Demo step

3. Review module evidence

Inspect source objects, missing fields, confidence tiers, limitations, and owner-review questions.

Demo step

4. See governed recommendations

Review advisory outputs without assuming source-system posting, approval, merge, release, or write-back authority.

Demo step

5. Decide the next step

Choose a controlled demo, source-fit diagnostic, readiness assessment, remediation first, or no-go decision.

Synthetic transaction workflow

Procure-to-pay demo flow: evidence before action.

This is a synthetic product-tour model. It demonstrates capability boundaries and review logic; it is not approved buyer outcome evidence, benchmark evidence, or production transaction authority.

StageSynthetic recordFields, role, and statusAI recommendation and confidenceHuman action, audit, and result
Purchase requisition PR-2408-017 Need, site, material, requester, cost center, urgency; status: draft review. Recommend missing source records; confidence: Medium until supplier and stock context are present. Buyer submits to human approval queue; audit event: requisition-intake; result: review pending.
Approval routing APR-2408-017 Requester, threshold, budget owner, maintenance owner, procurement owner; status: approval review. Identify policy and ownership gaps; confidence: Derived from approval matrix. Owner approves, rejects, or requests evidence; audit event: approval-routed; result: owner assigned.
Purchase order draft PO-DRAFT-8841 Supplier, contract, price, lead time, material, work order; status: draft only. Compare supplier and contract context; confidence: Medium unless contract and stock records agree. PO release is denied in diagnostic mode; audit event: po-draft-reviewed; result: source-system action required.
Supplier confirmation SC-8841-A Promised date, quantity, price, supplier contact, delivery condition; status: confirmation review. Flag date, quantity, or price variance; confidence: Observed when confirmation record is present. Buyer reviews variance; audit event: supplier-confirmed; result: accept, defer, or escalate.
Goods receipt GR-55219 PO, material, quantity, bin, site, receiving date; status: received under review. Match receipt to PO and material identity; confidence: Observed for matching fields, Derived for identity-risk signals. Receiving owner reviews exceptions; audit event: goods-receipt-linked; result: receipt evidence attached.
Supplier invoice INV-77204 Supplier, invoice line, tax-adjacent fields, PO, receipt, terms; status: AP review. Prepare invoice-match summary and limitation note; confidence: Medium until AP owner reviews exceptions. Payment approval is denied in diagnostic mode; audit event: invoice-linked; result: match review pending.
Three-way match MATCH-8841 PO line, receipt line, invoice line, price, quantity, date; status: exception check. Classify exact match, partial match, or exception candidate; confidence: Observed where all source rows align. AP/procurement owner accepts or investigates; audit event: match-classified; result: exception queue or clear-to-review.
Exception handling EXC-8841-03 Emergency-buy signal, stocked-but-purchased flag, supplier alias, price variance; status: investigation. Recommend review path and exclusions; confidence: Estimated until source owners validate impact. Owner selects investigate, remediate, defer, or reject; audit event: exception-reviewed; result: action tracker item.
Payment approval boundary PAY-HOLD-8841 Invoice, match state, approval role, denied action, source-system owner; status: held outside AI2COE authority. Explain why payment cannot be approved from diagnostic evidence alone; confidence: High for boundary, not for payment decision. Finance acts only in system of record; audit event: payment-boundary-recorded; result: no AI2COE payment action.
Decision and audit record AUD-8841-FINAL Evidence class, confidence, limitation, owner, timestamp, final disposition; status: retained metadata. Summarize reviewed decision and next step; confidence follows approved owner action. Final result is approve, defer, remediate, reject, or request more evidence; audit event: decision-closed.
Module choices

Choose the module path to inspect during the demo.

Finance module

Finance AI ERP Module

The Finance AI ERP module connects general ledger, chart of accounts, journal lifecycle, AP, AR, cash application, treasury context, fixed assets, tax-adjacent review, intercompany, consolidation, close evidence, controller approval, audit trail, and governed AI recommendations in one finance workflow layer.

Procurement module

Procurement AI ERP Module

The Procurement AI ERP module connects supplier onboarding, requisitions, RFQs, sourcing events, contracts, purchase orders, confirmations, goods receipts, service entries, supplier invoices, supplier performance, price variance, lead-time, exception, and emergency-buy records so procurement teams can review governed sourcing and buying recommendations under human approval.

Inventory module

Inventory AI ERP Module

The Inventory AI ERP module connects on-hand balance, reserved and available stock, storage location, bin, lot, serial, movement history, safety stock, reorder point, ABC classification, valuation, demand, lead-time, transfer, cycle-count, and critical-spare context so inventory teams can review stock-policy decisions with evidence and owner approval.

Manufacturing module

Manufacturing AI ERP Module

The Manufacturing AI ERP module connects MRP, BOM, routing, work-center, capacity, finite scheduling, production-order, WIP, backflush, costing, quality-hold, lot/serial, inventory, asset, and maintenance records so plant teams can review governed manufacturing decisions under plant-owner control.

Supply Chain module

Supply Chain AI ERP Module

The Supply Chain AI ERP module connects demand forecasts, supply plans, inventory availability, allocation rules, available-to-promise context, supplier confirmations, lead-time records, shipment status, logistics lanes, S&OP assumptions, and planning exceptions so supply-chain teams can review constrained decisions before commitments change.

Maintenance module

Maintenance AI ERP Module

The Maintenance AI ERP module connects notifications, corrective and preventive work orders, PM plans, task lists, permits, asset history, failure modes, downtime events, spare-part reservations, maintenance backlog, shutdown scope, and planner notes so maintenance teams can review recommendations with reliability-owner approval.

Asset Management module

Asset Management AI ERP Module

The Asset Management AI ERP module connects asset registers, equipment hierarchies, functional locations, BOMs, warranty records, meter readings, criticality, work orders, spare-part links, commissioning state, retirement state, and reliability context so asset teams can review lifecycle decisions under owner control.

Material Master module

Material Master AI ERP Module

The Material Master AI ERP module connects material and item records, short and long descriptions, manufacturer identity, manufacturer part numbers, UOM, commodity code, UNSPSC context, plant views, valuation class, hazard context, cross-reference records, duplicate candidates, and owner governance while keeping merge, deletion, and source-system authority under owner control.

Governance module

Governance AI ERP Module

The Governance AI ERP module connects evidence classes, confidence tiers, policy rules, policy exceptions, approval matrices, segregation-of-duties context, authority limits, denied actions, human approvals, audit metadata, retention rules, access scopes, and source-system boundaries so ERP AI recommendations remain governed and reviewable.

Quality module

Quality AI ERP Module

The Quality AI ERP module connects inspection plans, inspection lots, results, batch and serial references, nonconformance records, CAPA context, deviation records, supplier quality, material identity, asset context, certificate references, release boundaries, and review ownership for governed AI-assisted quality decisions.

Projects module

Project AI ERP Module

The Project AI ERP module connects WBS elements, work packages, budget, actual cost, commitments, milestones, change orders, shutdown scope, procurement, material reservations, assets, risk items, earned-value context, and approval evidence so project teams can review recommendations before commitments change.

Service module

Service AI ERP Module

The Service AI ERP module connects service orders, dispatch context, field-work records, depot repair records, installed-base data, assets, parts, inventory availability, SLA context, return authorization records, technician notes, customer-site context, and owner approvals for responsible AI-assisted service decisions.

Agentic ERP module

Agentic AI ERP Module

The Agentic AI ERP module connects bounded ERP use cases, source evidence, tool allowlists, agent passports, authority levels, denied actions, human owners, approval paths, escalation rules, suspension paths, prompt-injection controls, and audit trails so ERP assistants and agents operate only inside approved authority.

AI ERP authority paths

Use the support page that matches the buyer question.

AI ERP path

Module coverage

All AI ERP module lenses and primary Industrial IQ support engines.

AI ERP path

Capability map

Workflow, source-object, owner, agent, evidence, and audit capabilities.

AI ERP path

Capability matrix

Native, integrated, diagnostic, governed-agent, and unsupported capabilities by module.

AI ERP path

Product demo

Demo path for module workflows, evidence outputs, and governed agents.

AI ERP path

Product tour

Synthetic procure-to-pay walkthrough with approvals, agent boundaries, and audit evidence.

AI ERP path

Procure-to-pay demo

Synthetic source-to-pay workflow from requisition through invoice match and audit trail.

AI ERP path

Product screens

Screen-state map for worklists, evidence panels, approval queues, audit trails, and report outputs.

AI ERP path

AI ERP pricing

Commercial-scope drivers for modules, users, source systems, integrations, countries, and agent authority.

AI ERP path

Module taxonomy

Classification of core ERP domains, adjacent capabilities, and unsupported-without-review areas.

AI ERP path

Implementation

Governed adoption path for module scoping, source-system review, pilot gates, and rollout.

AI ERP path

Integrations

Source export, read access, workflow handoff, and approved write-authority boundaries.

AI ERP path

AI ERP trust

No-write-back, human-review, source-file, agent-authority, and audit-control boundaries.

AI ERP path

Source systems

SAP, Oracle, Microsoft, Infor, IFS, Maximo, Epicor, Workday, EAM, and CMMS context.

AI ERP path

Industry use cases

AI ERP use-case routing across asset-intensive industry contexts.

FAQ

AI ERP evaluation questions.

Does AI2COE AI ERP cover all ERP modules?

AI2COE publishes a broad AI ERP module map across finance, procurement, inventory, manufacturing, supply chain, maintenance, asset management, material master, governance, quality, project, service, and agentic ERP. Each module remains bounded by source evidence, owner review, and approved authority.

Is AI2COE replacing SAP, Oracle, Microsoft, Infor, IFS, Maximo, Epicor, or Workday?

No. AI2COE AI ERP is an AI-native product layer and Industrial IQ is a diagnostic evidence layer around operational records. Incumbent ERP, EAM, CMMS, finance, procurement, and asset systems remain the systems of record unless a separate approved implementation changes that boundary.

Can AI2COE AI ERP write back to source systems?

Industrial IQ diagnostics are no-write-back. Transaction-changing AI ERP capability requires explicit source-system permission, product controls, security review, audit trail, and human approval.

How should an enterprise start evaluating AI ERP?

Start with a product demo or source-fit diagnostic that names the module, decision, records, owner, evidence class, confidence tier, limitation, and denied actions before any production authority is discussed.

Is this benchmark or customer outcome evidence?

No. These pages define product architecture, module coverage, source-system context, and diagnostic boundaries. Benchmark or customer outcome publication requires observed or approved data and separate review.