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 pricing and implementation scope for enterprise evaluation.

AI2COE AI ERP pricing guidance explains module scope, user scope, source-system context, deployment model, implementation services, integrations, agent authority, and commercial review boundaries.

ScopedModules and users
DriversSystems, workflows, countries
ReviewCommercial and security fit
AI2COE AI ERP pricing scope map showing modules, source systems, workflows, users, integrations, authority boundary, and review requirements.
Pricing scope depends on modules, users, source systems, countries, integrations, authority level, and implementation review.
Short answer

AI ERP pricing depends on the product modules, source systems, countries, integrations, and authority level in scope.

AI2COE AI ERP pricing is scoped by modules, users, source systems, countries, workflows, data volumes, integrations, environments, support model, and agent authority. Public guidance explains pricing drivers and implementation boundaries; final commercial terms require a product-fit and security review.

Public guidancePricing drivers and implementation variables are visible before sales scoping.
Commercial boundaryFinal price requires module, user, source-system, region, integration, and security review.
No assumptionNo public page should imply unrestricted ERP replacement, statutory coverage, or autonomous transaction authority.
Pricing drivers

Use these drivers to prepare a commercial and implementation review.

DriverWhat to defineWhy it matters
Module scope Which AI ERP modules are in scope: finance, procurement, inventory, manufacturing, supply chain, maintenance, asset, material master, governance, quality, project, service, or agentic ERP. Module mix changes configuration, evidence model, owner review, and report scope.
User and owner scope Named users, reviewers, executives, administrators, diagnostic operators, and process owners. Commercial terms reflect who reviews evidence and who can approve next actions.
Source-system context SAP, Oracle, Microsoft Dynamics, Infor, IFS, Maximo, Epicor, Workday, EAM, CMMS, finance, procurement, inventory, or data-warehouse sources. Source-system complexity drives field mapping, access review, and integration effort.
Country and entity scope Legal entities, countries, currencies, sites, plants, warehouses, and operating units. Global ERP review needs localization context without claiming local statutory advice.
Data volume and history Source objects, file size, transaction history, master-data volume, attachments, and refresh frequency. Volume affects processing, review workflow, reporting, and retention requirements.
Integration mode Export-only diagnostic, approved read integration, workflow handoff, or implementation-scoped write authority. The access mode determines security, testing, rollback, and audit controls.
Agent authority Observe, analyze, recommend, prepare, submit, or execute boundaries with denied actions and named owners. Higher authority requires stronger controls and separate approval.
Deployment and support Environments, hosting, identity, support, monitoring, backups, incident response, training, and change control. Enterprise deployment terms depend on security and operating-model requirements.
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.