IA Tech ConsultingAI for PLM · ERP · EAM

Services

Practical AI, built on connected systems.

Seven services that cover the full arc from “where should we start” to “this runs in production and our team owns it.” Engage one, or combine them into a program.

01

AI Readiness & Roadmap

Most enterprise AI programs stall because the data is scattered across engineering, finance, and maintenance systems that were never designed to talk to each other. We start with the systems you actually run, map the data and process flows between them, and identify the handful of use cases with a clear path to production and measurable ROI.

What you get

  • Prioritized use-case portfolio with business cases
  • Data and integration gap assessment across PLM, ERP, and EAM
  • Target architecture and 12-month roadmap
  • Governance, security, and model-risk guardrails

Example engagements

  • Two-week assessment of a Teamcenter + Oracle EBS landscape to shortlist AI pilots
  • Readiness review for deploying copilots over Maximo work-order history
02

Intelligent Integration

Integration is where AI value is won or lost. We design and build the connective tissue between platforms, such as BOM synchronization, change propagation, part master alignment, and asset-to-engineering traceability, and use AI to handle the messy parts: schema mapping, attribute normalization, duplicate detection, and exception triage.

What you get

  • Reliable EBOM/MBOM/SBOM flow between PLM and ERP
  • Engineering change orders that propagate to ERP and EAM automatically
  • AI-assisted data mapping and reconciliation instead of months of manual spreadsheets
  • Observable, auditable interfaces with exception handling built in

Example engagements

  • Teamcenter to Dynamics 365 BOM and item synchronization with AI-based attribute mapping
  • Windchill change notices feeding Maximo asset configuration and spare-part updates
03

Copilots for Engineering & Operations

Your teams spend hours hunting for the right revision, the right supplier, or the last time a pump failed. We build retrieval-grounded copilots that sit inside the tools people already use, respect existing permissions, and cite their sources, so answers are trusted rather than second-guessed.

What you get

  • Assistants embedded in Teamcenter, Windchill, Maximo, or Microsoft Teams
  • Grounded answers over specs, drawings metadata, change history, and work orders
  • Role-based access inherited from the source systems
  • Evaluation harnesses so quality is measured, not assumed

Example engagements

  • Change-impact assistant that summarizes affected items, where-used, and open orders for an ECO
  • Maintenance technician copilot that surfaces failure history, procedures, and parts on hand
04

Predictive Maintenance & Asset Intelligence

EAM systems hold years of work orders, failure codes, and meter readings that rarely get used beyond reporting. We build models and decision support that predict failures, prioritize backlogs, optimize spare-part inventory, and feed recommendations back into the maintenance workflow where planners can act on them.

What you get

  • Failure prediction and remaining-useful-life models tied to real asset hierarchies
  • Backlog prioritization that balances risk, cost, and crew availability
  • Spare-part demand forecasting linked to ERP procurement
  • Closed-loop feedback so models improve with every completed work order

Example engagements

  • Predictive work-order generation in IBM Maximo from sensor and inspection data
  • Criticality-weighted backlog ranking for a multi-site maintenance organization
05

Master Data & Data Quality

AI amplifies whatever data you give it. We use language models and classical techniques together to classify parts, extract attributes from legacy descriptions and drawings, detect duplicates across PLM and ERP, and put stewardship workflows in place so quality holds after go-live.

What you get

  • Standardized part and asset classification across systems
  • Attribute extraction from unstructured descriptions and documents
  • Cross-system duplicate and conflict detection
  • Stewardship dashboards and rules that keep data clean

Example engagements

  • Deduplicating 400k item records across Windchill and Oracle Fusion ahead of an ERP migration
  • Auto-classifying legacy parts into a UNSPSC or eCl@ss taxonomy
06

Agentic Workflow Automation

Routine cross-system work such as triaging change requests, chasing supplier documents, reconciling receipts to engineering revisions, or creating follow-up work orders consumes skilled people. We design agents that handle the repeatable steps end to end, escalate ambiguity, and leave a complete audit trail.

What you get

  • Documented, bounded agent workflows with human-in-the-loop approvals
  • Integration with existing workflow engines rather than parallel shadow processes
  • Full traceability of every action an agent takes
  • Measured cycle-time and effort reductions

Example engagements

  • ECO intake agent that validates completeness, checks where-used, and routes for approval
  • Procurement-to-engineering reconciliation agent across Dynamics 365 and Teamcenter
07

Enablement & Managed AI Operations

Production AI needs monitoring, evaluation, prompt and model lifecycle management, and cost control. We can operate it for you, co-run it with your team, or hand it over with the playbooks, training, and tooling to run it yourselves.

What you get

  • Monitoring for quality, drift, latency, and cost
  • Release process for prompts, models, and integrations
  • Training for engineering, IT, and operations teams
  • Flexible engagement: managed, co-managed, or full handover

Example engagements

  • Quarterly evaluation and tuning cycle for a production copilot
  • Platform team enablement for an in-house AI center of excellence

Platforms

Where we have hands-on depth.

We’ve implemented, integrated, and extended these platforms in production. We also work with others; if yours isn’t listed, ask.

  • Siemens

    Teamcenter

    PLM

    BOM management, change, and document data as a foundation for engineering copilots and ERP integration.

  • PTC

    Windchill

    PLM

    Product structure, change notices, and CAD metadata integrated with ERP and EAM.

  • Oracle

    Fusion Cloud, E-Business Suite, JD Edwards

    ERP

    Item master, procurement, manufacturing, and finance flows connected to engineering and maintenance.

  • Microsoft

    Dynamics 365

    ERP

    Supply chain and finance integration, plus Copilot and Azure AI extension points.

  • IBM

    Maximo

    EAM

    Asset hierarchies, work orders, and failure history for predictive maintenance and technician copilots.

Not sure which service fits?

Most clients start with a short readiness assessment. Tell us about your landscape and we’ll recommend a starting point, even if it isn’t us.

Book a discovery call contact@iatechconsulting.io