— 01 / Solutions

Six capabilities, one connected performance framework.

Core service lines
/01

AI-Assured Asset Intelligence

Predict failures, score asset risk, optimize lifecycle decisions, and convert operational data into action-ready maintenance intelligence.

↳ Predictive maintenance
↳ Remaining useful life
↳ Reliability analytics
/02

Enterprise Asset Management

SAP PM/EAM, S/4HANA, Maximo, Oracle, and Microsoft Dynamics advisory for work management, PM optimization, and master data governance.

↳ EAM strategy & roadmap
↳ PM & shutdown planning
↳ Mobile enablement
/03

Manufacturing Optimization

Improve throughput, yield, OEE, quality, energy performance, scheduling, and production reliability through AI-driven models.

↳ Production scheduling AI
↳ Yield & scrap reduction
↳ OEE dashboards
/04

Predictive Maintenance

Vibration, temperature, current, historian, inspection, and work order signals fused into failure prediction before downtime occurs.

↳ Condition monitoring
↳ Failure risk scoring
↳ Spare parts forecasting
/05

Industrial Data Foundation

Connect SAP, historians, SCADA, PLC, IoT, quality, finance, logistics, and engineering data into one trusted intelligence layer.

↳ Lakehouse architecture
↳ Historian integration
↳ Master data excellence
/06

Executive Control Tower

Real-time intelligence for downtime, backlog, PM compliance, asset health, production loss, energy cost, ESG, and capital planning.

↳ CXO dashboards
↳ Capital planning views
↳ ESG & carbon analytics
— 06 / 90-Day Launchpad

Start with one asset class.
Prove the model.
Scale the framework.

Our Reliability Launchpad delivers a measurable AI use case in 90 days — fixed-fee, milestone-based, with an executive roadmap for enterprise scale. No abstract proofs of concept.

01 — Your details
02 — Project scope
Email info@assetframeworks.com
Direct line +1 (365) 275-2362
Head office 264 Vaughan Road
York, ON  M6C 2N1
12-week launchpad roadmap
Wk 1–2 Discovery & data readiness
Asset selection, data audit, success metrics, stakeholder alignment, and a clear definition of done.
Wk 3–6 Model build & validation
Feature engineering, model training, holdout testing, and reviewer sign-off against agreed accuracy targets.
Wk 7–10 Production pilot
Live operation in a single plant, KPI tracking, user workflow integration, and on-the-ground change management.
Wk 11–12 Executive roadmap
Business case, scale plan, capital sequencing, and an executive-ready roadmap to roll out across sites and asset classes.
What you walk away with
  • 1 A working AI use case in production on one asset class
  • 2 Verified ROI signed off by your Finance team
  • 3 A costed roadmap to scale across the enterprise
  • 4 Everything we built — yours to keep, scale or not
Fixed fee 90 days · milestone-based