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 trust controls for evidence-governed workflows.

AI2COE AI ERP trust page explains no-write-back diagnostics, source-file handling, human review, role authority, segregation-of-duties context, agent authority, audit metadata, owner validation, and implementation controls.

No write-backDiagnostic default
Human reviewOwner validation
ControlsAuthority, audit, rollback
AI2COE AI ERP trust map showing source-file handling, no ERP write-back, human review, evidence classes, role authority, agent boundary, and audit metadata.
Trust controls keep source-file handling, no-write-back diagnostics, human review, evidence classes, role authority, agent limits, and audit metadata visible.
Short answer

AI ERP trust comes from visible boundaries before automation expands.

AI2COE AI ERP trust controls keep diagnostic evidence, source-file handling, no-write-back boundaries, role authority, segregation-of-duties context, human approval, agent authority, denied actions, audit metadata, rollback boundaries, and owner validation visible before any transaction-changing capability is considered.

These controls describe the product operating model and implementation review requirements. They do not claim certification, completed customer validation, independent assurance, or unlimited agent authority.

Source-file handlingGeneral contact forms are for scoping, not private operational data; diagnostic upload paths process source files for report generation and then purge source files under the stated boundary.
No ERP write-backIndustrial IQ diagnostics do not create, update, approve, post, merge, delete, release, or move source-system records.
Human reviewFindings, candidates, signals, recommendations, and action queues require accountable owner review before operational action.
Evidence classesObserved, Derived, Estimated, and Hypothesis labels keep source-backed findings separate from assumptions and planning signals.
Role and authority scopeImplementation review records who can read, prepare, submit, approve, reverse, suspend, and audit each workflow action.
Segregation of dutiesFinancial, procurement, inventory, quality, payroll, statutory, and source-system actions need named approver boundaries and conflict review.
Transaction integritySource-system writes are denied by default; any approved handoff needs idempotency, error handling, rollback, and audit metadata.
Environment separationDemo, pilot, and production authority are separated during scoping; public demo pages do not imply production credentials or access.
Agent authorityERP agents must have explicit authority level, denied actions, tool scope, owner approval, suspension path, and audit trail.
Implementation reviewProduction transaction authority requires security, trust, data-handling, legal/procurement, process-owner, and rollback review.
Related trust paths

Review the controls before a source-system discussion.

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.