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Now accepting Q3 pilot programs / Toronto · North America delivery

Smarter assets.
Stronger operations.
Measurable performance.

Asset Frameworks Inc. transforms maintenance, reliability, production, energy, and capital decisions through AI-powered asset intelligence and enterprise asset management excellence — built for the realities of heavy industry.

Downtime
−40%
Maint. cost
−25%
Throughput
+15%
Energy
−20%
◆ Manufacturing◆ Aluminum & Metals◆ Mining ◆ Oil & Gas◆ Power Generation◆ Utilities ◆ Chemicals◆ Ports & Waterways◆ Public Infrastructure ◆ Life Sciences◆ Food & Consumer Goods◆ Transportation
— 00 / Approach

We bridge plant operations, finance, engineering, maintenance, and digital strategy into one connected performance model.

Industrial transformation, from plant floor to boardroom.

Most digital initiatives stall because they treat assets as data problems instead of operating problems. Asset Frameworks combines deep operational expertise — SAP, EAM, reliability, and capital planning — with practical AI and operations mathematics. The result is faster decisions, lower costs, safer operations, and measurable ROI within a single fiscal year.

01

Asset-first thinking

Reliability and lifecycle as the foundation of every model.

02

Practical AI

Production-grade models tied to operational KPIs, not demos.

03

ROI in 90 days

Fixed-fee pilots with measurable business outcomes.

— 03 / Industries

Built for asset-intensive industries.

From aluminum manufacturing and power generation to mining, transportation, oil & gas, and public infrastructure — we modernize asset performance with practical intelligence.

/I.01

Manufacturing

Automotive, aluminum, steel, chemicals, food, consumer goods, aerospace.

/I.02

Energy & Utilities

Power generation, renewables, transmission, pipelines, LNG, refining.

/I.03

Mining & Metals

Surface mining, underground, smelters, concentrators, mobile fleets.

/I.04

Oil & Gas

Upstream, midstream, downstream, offshore, terminals.

/I.05

Public Infrastructure

Ports, waterways, transportation, municipalities, water systems.

/I.06

Life Sciences

Regulated assets, calibration, utilities, production reliability.

— 04 / Outcomes

Real numbers from real operating environments.

Typical improvement ranges measured across recent pilots and enterprise rollouts in heavy industry. Each range reflects the low and high end of results from comparable asset classes — your starting point and data maturity determine where you land.

Downtime reduction
2040%

Predictive maintenance and failure prediction across critical asset classes.

Maintenance cost
1025%

PM optimization, work management redesign, and spare parts forecasting.

Throughput uplift
515%

Bottleneck analytics, scheduling AI, and yield optimization.

Energy intensity
1020%

Energy-per-unit reduction and ESG performance analytics.

Higher PM compliance
Better schedule adherence
Lower spare parts risk
Improved safety compliance
Higher asset availability
Better capital decisions
Faster management response
Measurable ESG outcomes
— 05 / Technology

Connecting enterprise systems with industrial reality.

We work natively across the EAM, data, and intelligence platforms heavy industry already runs on — and the AI layers that make them perform.

/T.01

AI & Analytics

Artificial Intelligence, Machine Learning, Computer Vision, Digital Twins.

/T.02

Enterprise EAM

SAP PM / EAM / S/4HANA, IBM Maximo, Oracle Maintenance Cloud, Microsoft Dynamics.

/T.03

Data & Cloud

OSIsoft PI / Historians, Microsoft Azure AI, Databricks / Lakehouse, Microsoft Fabric.

/T.04

Operational Technology

SCADA / PLC integration, Industrial IoT, Robotics integration, Mobile field apps.

/T.05

Visualization & Geospatial

Power BI / SAC dashboards, GIS / ArcGIS intelligence, executive performance views.

/T.06

Integration Fabric

API and event-driven integration between EAM, ERP, historians, and AI services.

— 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
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.