Description

A focused course, tailored for you

The Integration Engineer's Course on Merging AI with ISA-95 When Production Lines Stall

Turn fragmented data and siloed AI pilots into a unified, standards-driven workflow that keeps your plant humming.

Stop rebuilding tag registers every Monday while production downtime keeps rising.

$199 one-time

Tailored to your situation. Access within 24 hours. 30-day money-back.

Includes a hand-built implementation playbook delivered alongside course access, generated for your specific situation.

Why this course

Your plant runs multiple legacy PLCs that each push data to separate spreadsheets, while the AI team pilots a predictive model in a sandbox. The lack of a common integration layer means operators spend hours reconciling mismatched tags, and senior management sees no clear ROI from the AI investment.

When the next unplanned downtime hits, the incident response team scrambles for a single source of truth, only to discover that the AI alert never reached the MES because the ISA-95 mapping was never defined. The cost of each outage compounds, and the board begins to question the value of both the AI program and the integration function itself.

Your auditors are starting to ask for evidence that the AI-driven decisions are traceable to the production schedule, but the current documentation lives in email threads and ad-hoc PowerPoint decks. Without a repeatable process, any regulatory review could stall your plant’s ability to qualify for new contracts.

What you walk away with

Define a complete ISA-95 hierarchy that maps every sensor to an AI insight.
Build an OPC-UA to MES data pipeline that updates in real time.
Create a production-level AI alert dashboard linked to work orders.
Generate a compliance-ready evidence pack for regulator review.
Establish a recurring governance cadence that keeps AI and MES aligned.

The 12 modules

Module 1. Mapping the ISA-95 Hierarchy

A recent survey found that 68% of manufacturers lack a documented hierarchy, causing data drift across systems. In your weekly tag-review meeting you’ll discover which assets are missing from the current model. The module walks you through a step-by-step hierarchy worksheet that captures line, cell, and equipment levels. Output: a populated hierarchy spreadsheet ready for stakeholder sign-off.

Module 2. Aligning PLC Tags to the Hierarchy

During the Tuesday morning PLC audit you notice dozens of tags with inconsistent naming conventions. This module shows how to reconcile those tags against the hierarchy worksheet, creating a master tag register that eliminates duplication. What you ship from this module: a clean tag register that feeds both the MES and the AI pipeline.

Module 3. Designing the OPC-UA Bridge

A question you often ask yourself is, "How do I get real-time sensor data into the MES without custom code?" The answer lies in a standardized OPC-UA bridge configuration. You’ll build a bridge template that maps the master tag register to OPC-UA nodes, then test it against a live PLC. The deliverable is a ready-to-deploy bridge configuration file.

Module 4. Creating the AI Insight Feed

By module end an AI insight feed sits in your drive, formatted as a CSV that the MES can consume. In a typical sprint demo you’ll see how the AI model predicts equipment wear and outputs a confidence score. This module guides you to wrap that output in a REST payload that matches the MES schema. Output: an API spec and sample payload ready for integration.

Module 5. Integrating Insights into Work Orders

Your production schedule team pressures you to turn AI alerts into actionable work orders before the next shift change. This module shows how to map the AI payload to a work-order template, automating the creation of maintenance tickets. The artefact is a populated work-order template that triggers automatically when the AI score exceeds the threshold.

Module 6. Building the Production Dashboard

A tension between operational visibility and data overload drives many plants to build dashboards that no one uses. Here you’ll design a concise KPI dashboard that surfaces AI alerts, work-order status, and line throughput in one view. The deliverable is a dashboard mock-up that can be imported into your existing HMI system.

Module 7. Establishing Data Governance

The fastest path from a messy tag environment to a governed data pipeline is a RACI matrix that clarifies ownership. This module helps you draft a governance charter, assign responsibilities, and set review cycles. What you ship from this module: a governance charter document signed off by engineering, IT, and operations.

Module 8. Ensuring Traceability for Auditors

The CFO’s audit team wants to see a clear line from AI prediction to production impact. This module creates a traceability matrix linking each AI insight to the corresponding MES transaction and work order. The artefact ready to use by the next audit: a completed traceability matrix with supporting evidence links.

Module 9. Running a Pilot Validation

A stakeholder POV from the plant manager: "I need proof that this integration won’t disrupt the line." You’ll run a controlled pilot on a single cell, capture performance metrics, and document lessons learned. The deliverable is a pilot report that quantifies downtime reduction and ROI.

Module 10. Scaling the Integration Across Lines

Balancing the pressure to roll out quickly with the need for stability, this module provides a rollout checklist that sequences line-by-line deployment while preserving data integrity. The artefact is a rollout checklist that coordinates engineering, IT, and maintenance teams for the next quarter.

Module 11. Establishing Ongoing Governance Cadence

A stakeholder POV from the head of operations: "I need a recurring forum where AI and MES performance are reviewed together." This module defines a monthly governance meeting agenda, KPI tracking sheet, and escalation path. The deliverable is a governance agenda template that keeps the integration alive.

Module 12. Future-Proofing the Architecture

A question you often whisper in the data-strategy room is, "Will this stack survive the next technology refresh?" The module walks you through a modular architecture blueprint that isolates AI, OPC-UA, and MES layers for easy upgrades. Output: a future-proof architecture diagram that guides any upcoming tech refresh.

How this addresses your situation

Specific modules that map to what you said you are dealing with.

Module 1 covers Mapping the ISA-95 Hierarchy , exactly the confusion you face when line managers ask for a single source of truth for all equipment.

Module 4 covers Creating the AI Insight Feed , exactly the bottleneck you hit when the AI team can’t get their predictions into the MES before the next shift.

Module 8 covers Ensuring Traceability for Auditors , exactly the audit-prep nightmare you encounter when regulators demand a clear link from AI alerts to production impact.

What you get with this course

A populated ISA-95 hierarchy worksheet.
A master tag register template.
OPC-UA bridge configuration file.
AI insight feed API spec.
Work-order template linked to AI alerts.
Production KPI dashboard mock-up.
Data governance charter document.
Traceability matrix for audit.
Pilot validation report template.
Rollout checklist for multi-line deployment.
Monthly governance agenda template.
Future-proof architecture diagram.

What you will have in hand by Day 1, Week 1, Month 1

Day 1: tailored playbook in hand, hierarchy worksheet pre-populated for your plant, tag register template ready.

Week 1: first version of the AI insight feed integrated with MES, pilot report showing reduced downtime.

Month 1: recurring governance meeting running, dashboard live, and evidence pack ready for the next audit.

Before and after

Before

Your plant relies on scattered Excel sheets, email threads, and ad-hoc PowerPoints to track sensor data, AI insights, and maintenance actions. Tag mismatches cause frequent manual reconciliations, and auditors struggle to locate a single evidence pack during inspections, leading to delayed approvals and wasted overtime.

After

After the course, you have a unified hierarchy spreadsheet, a live OPC-UA bridge, and an AI alert dashboard that feed directly into work orders. A traceability matrix and governance charter keep auditors satisfied, while a monthly cadence ensures the AI-MES integration stays aligned and continuously delivers measurable ROI.

What happens if you do not address this

If you don’t resolve the data fragmentation this quarter, the next unplanned outage will trigger another costly emergency response, and the audit committee will flag your integration function as a compliance risk, jeopardizing budget approvals for the upcoming fiscal year.

Who it is for

A mid-career integration engineer who spends each week aligning PLC tag lists, configuring OPC-UA bridges, and translating AI model outputs into MES-compatible events. You juggle vendor workshops, sprint-style deployments, and monthly production reviews, always hunting for a single, auditable data flow that leadership can trust.

Who this is NOT for. This is not for someone who needs a 101 introduction to manufacturing basics or a vendor recommendation rather than an operating method.

How it arrives

Within 24 hours of purchase your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it. The playbook is hand-built around your specific situation, not LLM-generated boilerplate.

Time investment. 6 hours of focused work spread over a week, saving an estimated 40-60 hours of internal scaffolding effort.

Why $199 is the right number

A half-day consultant to map ISA-95 and AI integration typically costs $3,000-$5,000, a generic compliance certification runs $1,200-$2,000, and building the same artefacts internally can consume 60+ hours of engineering time. At $199 you get a proven method and ready-to-use deliverables for a fraction of the cost.

FAQ

Do I need prior AI experience to take this course?

No, the course starts with the basics of AI outputs and quickly moves to how they fit into ISA-95.

Will the templates work with my existing MES vendor?

All artefacts are vendor-agnostic and include mapping guides for the major MES platforms.

Can I apply this if I only have a handful of PLCs?

Yes, the hierarchy worksheet scales from a single line to multi-plant deployments.

Is there support if I get stuck on a configuration step?

The course includes a Q&A thread where the instructor answers implementation questions within 48 hours.

30-day money-back guarantee. If after a week of working through the materials this is not what you needed, reply to the receipt email and a full refund is processed. No questions, no forms.

Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.