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Manufacturing

SAP from the plant floor to MES to ERP.

On the shop floor, decisions happen by the minute. Joule agents sit between the planning system and the line, reading the schedule, the work order, the quality signal, and the asset health, then handing the supervisor the next call.

24 Fiori apps
in 26 weeks at Entegris Entegris
9 weeks
to working app, 350% one-year ROI Ink manufacturer
80%
asset-health process time saved at Cargill Cargill
“The Floor,” by Gemini 3 Pro ImageJun 20262,442 tokensthe story →

Last updated May 2026

Joule agents in Manufacturing

What we have shipped, and what we can build for you.

SAP validated our first 20 Joule agents in early 2026. The library keeps growing. Below are the agents that apply to manufacturing, plus concepts our agent factory can build next. See the full catalog

What each agent does on its own

  • Flags watches and tells your team, takes no action itself
  • Suggests drafts the work, a person approves it before anything happens
  • Acts handles routine steps itself, within limits your team sets
Shipped Suggests

Plant Maintenance Work Orders

Triages open maintenance notifications and drafts work orders with full history context.

SAP:
S/4HANA PM
Outcome:
PM compliance rate, MTTR
Shipped Suggests

Plant Maintenance Service Technician

Helps techs plan their day with open work orders by priority and spare parts.

SAP:
S/4HANA PM, MRS
Outcome:
Wrench time, first-time-fix rate
Shipped Suggests

MRP Exception Processor

Surfaces material exceptions that hit production scheduling, with the action proposed per cluster.

SAP:
S/4HANA MM, PP, IBP
Outcome:
Stock-outs, premium freight spend
Concept Suggests

Production Order Concierge

Reads open process or production orders, confirmations, material availability, and capacity load, then ranks by SLA risk and drafts the shift handover.

SAP:
S/4HANA PP, PP-PI, MES integration
Outcome:
Schedule attainment, OTIF at the line
Concept Suggests

Quality Notification Investigator

Reads the QM notification, defect codes, batch genealogy, and recent process changes, pulls similar past notifications, and proposes the disposition.

SAP:
S/4HANA QM, batch management
Outcome:
First-pass yield, time to root-cause
Concept Flags

OEE Drift Coach

Decomposes OEE into availability, performance, and quality losses per line per shift and names the biggest contributor in plain language.

SAP:
SAP Digital Manufacturing, S/4HANA
Outcome:
OEE per line, time-to-aware on drift
Concept Flags

Predictive Asset Reliability

Scores remaining useful life per asset from sensor and maintenance history, then proposes a maintenance window that fits the production schedule.

SAP:
SAP Asset Performance Management, S/4HANA PM
Outcome:
Unplanned downtime, MTBF
Concept Suggests

Batch Genealogy Tracer

Traces forward and backward from any batch through receipts, blends, packs, and ships, then drafts the recall communication.

SAP:
S/4HANA, batch management, EWM, QM
Outcome:
Recall scope precision, time-to-trace
Concept Suggests

Changeover and Setup Planner

Reads the schedule and the setup matrix between products and proposes a resequencing that cuts total changeover time.

SAP:
S/4HANA PP, PP/DS, Digital Manufacturing
Outcome:
Changeover hours, schedule attainment
Concept Suggests

Digital Work Instruction Generator

Reads the engineering BOM, routing, and standard work and drafts step-by-step operator instructions with images and safety call-outs.

SAP:
SAP Digital Manufacturing, S/4HANA
Outcome:
New-product ramp time
Engagement shapes

A few ways a manufacturing engagement usually starts.

Fiori-on-the-line rollout

4-7 months

Replace paper and 90s-era screens with Fiori apps designed in the AppHaus with the operators who will use them.

See a case study

SAP Digital Manufacturing pilot

3-5 months

Get OEE and quality signals out of the line and into S/4HANA without ripping out the existing MES.

Predictive maintenance pilot

8-12 weeks

Start with one asset class on one line and a single target outcome. Prove the agent and the data path before scaling across the plant.

The work, in Manufacturing

What we delivered and what changed.

Curated for Manufacturing work. The tags on each card show the SAP capabilities we used to deliver the outcome.

All case studies
Featured

Manufacturing

SAP DMS

Mindset replaced Entegris's aging AS/400 plant system with a 24-app, 100% custom SAPUI5 suite on ruggedized Android tablets, and carried that UX through acquisition integrations, from CMC Materials across 8 plants to a paperless plant in Taiwan.

SAP Fiori Design Thinking

Entegris logo
Featured

Chemicals

SAP Fiori

Global Printing Ink Manufacturer

Mindset delivered a Design Thinking-led SAP Fiori production forecasting app for the ink manufacturer in 9 weeks. Within one year, the ink manufacturer measured a 350% ROI. Within 6 quarters, the app was running at 100+ locations for 120+ users.

SAP Fiori S/4HANA Design Thinking

Featured

Manufacturing

CO

After a critical SAP BW failure left Finance fielding requests across the business, Mindset built a ground-up Datasphere and SAC platform for Johnson Health Tech, delivering 10+ production models across Finance, Sales, and Supply Chain and getting the first self-service wave live in under two months.

Data & Analytics S/4HANA

Johnson Health Tech logo
Featured

Consumer and Retail

Central Finance (cFIN)

Years embedded. Dozens of apps, platforms, and analytics. One product team that kept shipping.

SAP Fiori S/4HANA

Cargill logo
Featured

Chemicals

SAP BTP

NTIC kept its SAP S/4HANA Public Cloud core standard and built one extension path on SAP BTP with Mindset. Reporting came first, in 2025. Prepayment order automation is in flight, and Joule is in test.

SAP Fiori SAP BTP Clean Core S/4HANA

NTIC logo

Food and Agriculture

SAP Cloud Platform

A Global Meat-Snack Manufacturer

A Design Brainstorming session followed by four weeks of focused development delivered a working offline-capable Fiori app on Android, proving that plant-floor transactions could queue locally and post to SAP when connectivity returned, without losing data or stopping the line.

SAP Fiori SAP BTP Design Thinking

What is new in SAP for manufacturing

Releases and changes we are tracking.

Last updated May 2026

2026

SAP Digital Manufacturing GA

SAP's cloud-native shop-floor execution layer reaches general availability with tighter S/4HANA and Joule integration. We have been deploying this pattern since the early adopter wave.

Sapphire 2026

Joule Studio for shop-floor agents

Enterprise-scale agentic development on SAP-managed infra. Production, quality, and maintenance are the early use cases.

2026 release wave

SAP Asset Performance Management

Tightened with PM master data and SAP IoT. This is where predictive reliability agents should live.

GA 2026

BDC for production analytics

Production telemetry, quality signal, and finance impact on one governed plane via SAP-managed Databricks.

The shared spine

Built on BTP, designed for the people running it.

The manufacturing work doesn't run alone. It sits on BTP, on a clean data layer, and increasingly under Joule agents. It is the same architecture we use across the rest of our SAP work.

From our thinking

Our team writes about this work.

All insights
Common questions

What people ask before we start.

Do you replace the MES?
Usually no. SAP Digital Manufacturing connects to whatever MES you already run and pulls the shop-floor signal into S/4HANA. Replacing the MES is a separate, much bigger decision.
How do you handle the people side?
AppHaus design sessions with line operators and supervisors. We do not ship a screen they have not signed off on. That is how we keep adoption high on the manufacturing floor.
Can the agents act on the line?
Default is ALERT or PROPOSE. ACT is reserved for narrow, fully-deterministic cases. The supervisor stays in the loop on everything that matters.
What about regulated industries?
We have shipped in food, pharma, medical devices, and chemicals. The batch genealogy, QM workflows, and 21 CFR Part 11 controls are part of our default delivery, not a bolt-on.
How fast can we instrument OEE?
Six to eight weeks to a working OEE signal per line if the confirmations and downtime codes are usable. If they are not, we fix those first, and that cleanup counts toward the agent's value.

Let's talk manufacturing.

Bring the problem you have now. We will spend a working day on it with the people who will have to live with the answer.