Governance-first Clean-core-safe Sovereign — built in Australia Joule-native & vendor-neutral Digital thread to ERP/PLM
What changes for your organisation

A sensor on every machine isn't a smart factory. OEE is.

Most AI on the plant floor is sold on what the software does. These are the three things that actually change โ€” for your plant team, for the numbers already on the board in the plant office, and for the work you can take on.

Level 1
Workforce capability

Can your plant and maintenance teams work with predictive-maintenance and vision-inspection agents โ€” acting on an early failure signal, and knowing when to overrule a flagged defect or a scheduling recommendation the model got wrong? Machines connected is not the same thing as decisions improved.

Level 2
Operational transformation

The measures every plant already runs on: overall equipment effectiveness, unplanned downtime, first-pass yield, scrap and rework rate, throughput, and schedule adherence. These are already on the board in the plant office โ€” that is where AI's contribution has to show up.

Level 3
Business-model transformation

A connected digital thread from design through to the shop floor makes high-mix, low-volume production economic โ€” shorter runs, more variants, faster engineering-change rollout โ€” opening work you previously had to turn away because changeover cost too much. That's new capacity to sell, not the same line running faster.

Levels 1 and 2 tell you the platform is working. Level 3 is the reason it was worth the investment.

Agentic Manufacturing, End to End

MES capabilities delivered as governed agents on SAP Digital Manufacturing — the work plant teams actually do, automated with a human in the loop and tied to the ERP/PLM digital thread

๐Ÿ“Š

Real-time Production Monitoring

Live, agent-assisted visibility into the plant floor with IoT sensor integration — bottlenecks surfaced and flagged for the team, not buried in a dashboard.

  • IoT sensor data collection and analysis
  • Live production dashboards
  • Performance KPI tracking
  • Bottleneck identification
  • Efficiency optimisation alerts
๐Ÿ”ง

Predictive Maintenance

Agents watch equipment health and flag likely failures before they stop the line — with maintenance scheduled and parts ordered through the ERP, human-approved.

  • Equipment health monitoring
  • Failure pattern recognition
  • Maintenance scheduling optimisation
  • Spare-parts inventory management
  • Cost-reduction analytics
๐Ÿ”

Quality Control Automation

Computer-vision inspection agents catch and classify defects consistently — with statistical process control and compliance evidence captured automatically.

  • Computer-vision inspection
  • Defect detection and classification
  • Statistical process control
  • Quality trend analysis
  • Compliance reporting automation
๐Ÿš›

Supply Chain Synchronisation

Demand-aware agents keep materials flowing to the line, tied back to the ERP so plans, orders, and shop-floor reality stay in step.

  • Demand forecasting
  • Material requirement planning
  • Supplier performance tracking
  • Inventory optimisation
  • Delivery scheduling automation
๐Ÿ”„

Digital Twin Technology

Virtual replicas of production systems let you test changes and run what-if scenarios off the digital thread — without disrupting live operations.

  • Real-time system mirroring
  • Predictive scenario modelling
  • Risk-free testing environment
  • Performance optimisation
  • What-if analysis capabilities
๐Ÿ“‹

Agentic Work-Order Generation

Agents schedule and raise work orders against production requirements and resource availability — with priorities and adjustments owned by the team.

  • Intelligent task scheduling
  • Resource optimisation
  • Priority-based assignment
  • Real-time adjustments
  • Capacity-planning integration
๐Ÿ“ฆ

Real-time Inventory Tracking

Live visibility into material flow and stock levels with automated replenishment triggers, reconciled against the ERP for one version of the truth.

  • Live inventory monitoring
  • Automated reorder points
  • Material flow optimisation
  • Waste-reduction analytics
  • Supplier integration

How We Build on SAP โ€” Clean-Core-Safe

A governed agentic layer beside your core, never inside it: S/4HANA & SAP Digital Manufacturing core → clean core → BTP / Business AI → Joule agents → digital thread to ERP/PLM

The Architecture Spine

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Clean Core

We never modify the S/4HANA or SAP Digital Manufacturing core. Standard objects stay standard, so upgrades and your RISE/GROW move stay painless.

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BTP Side-by-Side

MES extensions live on SAP BTP against stable, released APIs — upgrade-proof and cleanly separated from the core.

๐Ÿค–

Joule-Native MES Agents

We extend SAP's own agents (Joule Studio) onto the plant floor and orchestrate across SAP, edge, and IoT — human-in-the-loop, audit-trailed.

๐Ÿงต

Digital Thread to ERP/PLM

Shop-floor agents stay tied to the ERP and PLM digital thread — sovereign, AU-resident, with lineage from design through production.

Trust, Compliance & Standards

The security, sovereignty, and governance posture a manufacturer's risk team needs to see

ISO/IEC 27001Certified
SOC 2 Type IICertified
AU data residencyAvailable
Human-in-the-loop ยท audit trailsBy design
SAP clean core ยท BTP side-by-sideSupported
SAP-aligned (architectural)By design
Joule-native (Joule Studio)In progress
EU AI Act-readyRoadmap

Status is indicative and confirmed per engagement. We are not an SAP partner โ€” "SAP-aligned" describes architectural alignment (our MES and digital-thread modules map to SAP Digital Manufacturing), not a partnership. Certification letters available under NDA.

Where It Earns Its Keep

The outcomes plant teams target โ€” each tied to a real workflow. Figures are targets confirmed against your baseline, not guarantees.

โš™๏ธ

Uptime & Availability

Predictive maintenance agents target less unplanned downtime by catching failures early.

  • Less unplanned downtime (target, baselined per engagement)
  • Earlier equipment-failure signals
  • Optimised maintenance scheduling
  • Lower spare-parts carrying cost
๐Ÿ”

Quality & Yield

Consistent vision-based inspection lifts first-pass yield and cuts manual checking.

  • Higher first-pass yield (target)
  • Fewer defects reaching the customer
  • Less manual inspection effort
  • Audit-ready quality evidence
โšก

Operational Efficiency

Agentic scheduling and monitoring take the manual grind off the plant team.

  • More throughput from the same line (target)
  • Shorter cycle times
  • Fewer manual handoffs
  • Better resource utilisation
๐Ÿงต

Digital-Thread Continuity

One connected thread from design to shop floor keeps plans and reality in step.

  • Design-to-production traceability
  • Plan vs actual reconciled to the ERP
  • Faster engineering-change rollout
  • Fewer data silos across PLM and MES
๐Ÿ›ก๏ธ

Risk & Control

Every agent action on the floor is logged, explainable, and reviewable.

  • Full, timestamped audit trail on agent actions
  • Real-time compliance monitoring
  • Sovereign, AU-resident plant data
  • Automated regulatory reporting

Migration-Timed Implementation

Adopt the AI during your S/4HANA RISE/GROW move โ€” not as a bolt-on later

1๏ธโƒฃ

Assessment & Planning

Weeks 1-2: analysis of current manufacturing processes, plant data quality, and the clean-core posture.

  • Plant-floor process mapping
  • Data quality & sensor readiness assessment
  • Clean-core / extension review
  • Digital-thread scope (ERP/PLM)
  • Compliance requirements review
2๏ธโƒฃ

Core & BTP Setup

Weeks 3-6: stand up the BTP side-by-side foundation and the IoT/edge data pipeline — core untouched.

  • BTP foundation & connectivity
  • IoT sensor & edge deployment
  • Data pipeline establishment
  • Role-based access configuration
  • Security implementation
3๏ธโƒฃ

Agent Build & Guardrails

Weeks 7-8: configure Joule-native MES agents, approval flows, and human-in-the-loop checkpoints.

  • MES agent configuration
  • Predictive-maintenance model training
  • Vision quality-control setup
  • Guardrails & approval hierarchy
  • Agent validation and testing
4๏ธโƒฃ

Integration & Testing

Weeks 9-10: tie agents to the ERP/PLM digital thread, run comprehensive testing, and validate with users.

  • ERP & PLM digital-thread integration
  • System functionality testing
  • User acceptance testing
  • Performance optimisation
  • Data validation
5๏ธโƒฃ

Go-Live & Support

Weeks 11-12: production deployment with parallel run, training, and hypercare.

  • Production deployment
  • Parallel line run
  • Operator & staff training
  • Go-live hypercare
  • Performance monitoring
6๏ธโƒฃ

Optimise & Extend

Ongoing: continuous optimisation, new agent use-cases, and FinOps on agent spend.

  • Performance optimisation
  • New agent use-cases
  • Process improvements
  • Agent cost control (FinOps)
  • Ongoing enablement

Who It's For

Built first for the Australian manufacturers where sovereignty and governance matter most

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Australian manufacturers wanting a sovereign MES

Plants that need their shop-floor data and agents to stay in Australia — an underserved wedge the global SIs leave open, built clean-core-safe.

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Plants needing the ERP/PLM digital thread

Manufacturers who want design, production, and the ERP connected in one thread — with a human in the loop, not a black box.

๐Ÿ›ก๏ธ

Governance-first buyers

Regulated or risk-sensitive manufacturers that need Australian data residency, audit trails on every agent, and FinOps cost control from day one.

Aligned to Australia's Whole-of-Government Cloud posture and Hosting Certification Framework for sovereign workloads.

Built and Run by Your AI Center of Excellence

This platform runs on five CoE capabilities — strategy, people, agents, data, and governance. We design, deploy, and govern a clean-core-safe agentic layer that keeps your data sovereign in Australia and every agent auditable and cost-controlled.

ISO 27001 SOC 2 AU data residency SAP-aligned Governed agentic · human-in-the-loop

Bring Agentic Manufacturing to Your Plant

Book a walkthrough with a manufacturing specialist โ€” we'll map your shop-floor and digital-thread workflows and show where governed agents take the load, clean-core-safe and sovereign.