Ineffective Maintenance and Asset Management Processes?Fix them with Procex.

The EAM Productivity Problem Isn’t a Technology Gap

Asset-intensive organizations have invested heavily in enterprise systems, analytics, and best-practice frameworks. They have dashboards, KPIs, and documented processes for maintenance, reliability, and asset management.

Yet execution still breaks down.

Work is released without readiness.
Schedules destabilize under emergency pressure.
The same issues repeat week after week.

The problem is not a lack of systems or insight.
It is that critical decisions are made too late, without enough context or without visibility into downstream consequences.

Procex is proving that focused AI, strategically applied can monitor the various inputs, recognize the trends, and provide recommendations while there is time to make a difference.

Why Maintenance Artificial Intelligence Hasn’t Worked — for Most Plants

Maintenance teams at mid‑tier asset‑intensive organizations live in the middle ground: too complex for spreadsheets, too constrained for massive digital programs. Traditional AI platforms assume perfect data, unlimited budgets, and long transformation timelines. The result? Dashboards that explain failure after the fact—but don’t prevent it.

Procex starts from a different premise: maintenance productivity is a process problem first. Artificial intelligence only works when it is tightly bound to how work is requested, prepared, scheduled, and executed. That’s where Procex focuses.

• Chronic reactive work and schedule collapse

• Readiness failures hiding in plain sight

• AI tools that analyze but don't intervene

Modular Maintenance AI—Not a Monolith

Procex delivers maintenance artificial intelligence as a library of modular, single‑purpose applications—each designed to solve a specific operational failure mode. No all‑or‑nothing platform. No black‑box AI. Just focused intelligence that integrates cleanly with SAP and delivers measurable lift in weeks, not years.

Each Procex module can be deployed independently or combined into a broader roadmap as your organization matures.

Example Modules

• Maintenance Barrier Tracking

• Readiness Gatekeeping & Work Release Control

• Duplicate Notification Detection & Work Bundling

• Backlog Risk & Priority Intelligence

• Materials Availability & Planning Intelligence

Outcome Focus

• Faster work release

• Higher schedule attainment

• Less rework and firefighting

• Measurable cost and risk reduction

Enterprise Intelligence Sized for the Real-World Plant

Procex is purpose‑built for organizations that run complex plants—but don’t have armies of data scientists or multi‑year transformation budgets. Our applications assume imperfect data, mixed maturity, and real operational constraints.

Artificial intelligence in Procex does not replace planners or supervisors—it augments them. It flags risk, enforces readiness discipline, and recommends action while keeping humans in control.

Designed For

• Chemicals & specialty materials

• Energy & utilities

• Pulp & paper

• Food & beverage

• Metals, mining, and industrial manufacturing

Clean‑Core SAP Architecture—No Compromises

Every Procex application runs as a clean‑core extension on SAP Business Technology Platform and uses SAP Signavio to anchor intelligence in real maintenance process flow. This ensures upgrades stay clean, governance stays intact, and IT stays in control.

Artificial intelligence is applied surgically—monitoring process signals, detecting barriers, predicting risk, and triggering guided actions—without modifying SAP standard.

Architecture Highlights

• SAP clean‑core compliant

• Event‑driven, process‑aware intelligence

• Deployable alongside ECC or S/4HANA

• Designed for phased adoption

Measured Improvement—Not AI Theater

Procex customers see operational lift where it matters most: flow, reliability, and cost. Because our artificial intelligence intervenes directly in maintenance execution, results show up fast—and stick.

Typical Outcomes

• Schedule attainment ↑ 8–15 points

• Ready‑to‑schedule work ↑ 20–40%

• Maintenance cycle time ↓ 30–50%

• Emergency work ↓ 20–35%

“Do management teams in your company suffer from the delusion that your Enterprise Asset Management teams are operating at the highest efficiencies?”

William Biekert

Author, Beyond the Delusion

Retired Director of Maintenance, Marathon Petroleum

★★★★★