Industrials

Enhance your industrial operations with AI solutions designed to boost reliability and business outcomes.

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Real work. Measurable outcomes.

A snapshot of recent cases across mining and industrial clients - from predictive maintenance and centrally governed data platforms to AI-assisted quoting and Copilot upskilling.

Predictive MaintenanceOpen Surface Coal Mine

Predictive maintenance for mobile equipment using AI

As one of the largest coal producers in the US, the company operates more than 100 haul trucks. Equipment monitoring relies on oil samples, work orders, and telemetry alerts that are largely reviewed manually. Inconsistent oil analysis and alert overload make it difficult to identify degradation early, leading to reactive maintenance and costly unplanned component failures.

+80%

prediction accuracy for identifying upcoming mobile equipment failures

25%

reduction in unplanned maintenance costs for mobile equipment

Read full case

Data Quality & Field OperationsMining OEM

AI-assisted scan validation improving turnaround time and data quality

The OEM deploys field engineers globally to scan mining equipment using 3D scanners for asset health and utilization. Scan quality varies due to site conditions and setup, and issues are often discovered only after the engineer leaves. Poor scan quality leads to rework, manual correction, and slow turnaround from scan to final report.

Days → minutes

lead time from scan to final report

Higher

share of high-quality scans across sites and extended asset lifetime

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Data Platform & GovernanceMining Energy Company

Centrally governed data platform in Microsoft Fabric enabling analytics & AI at scale

The company operates multiple mines following acquisitions, with different equipment, systems, and data sources across sites. This fragments operational and financial data, making it difficult for management to gain consistent insights into maintenance and financial KPIs. At the same time, AI initiatives are driven locally, limiting scalability and group-level governance.

Central

visibility and control across mines and equipment

Scalable

centrally governed AI deployment across sites

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Customer Retention & MLOpsIndustrial Distributor

From churn-prediction pilot to fully automated AI in production on Azure

A global B2B industrial distributor had validated a customer churn AI model in a successful pilot, but the solution was maintained externally and run semi-manually. Retraining and inference required hands-on intervention each month, data extraction depended on a single internal owner, and recurring source-data quality issues forced constant firefighting - making it difficult to scale the insights across the commercial organisation.

Manual → fully automated

end-to-end pipeline from extraction to Power BI refresh

Production-ready

self-owned on Azure with logging, monitoring, and documented handover

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Sales Automation & Pricing AISpecialty Materials Distributor

AI-assisted quoting that cuts manual effort and standardises customer pricing

A Danish specialty materials distributor prepared customer quotes through a heavily manual process that consumed time from multiple people, including senior management. Each quote meant looking up current supplier prices, applying margin rules, factoring in fluctuating energy and gas costs, and drafting an offer by hand. The flow was slow, inconsistent between sales reps, and dangerously dependent on a few key people being available - making it difficult to respond quickly to customers or scale the business without adding headcount.

Hours → minutes

quote generation, from manual pricing work to instant AI-assisted recommendation

Key-person independent

quoting workflow no longer bottlenecked on senior staff availability

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Installed Base & Service GrowthIndustrial Machinery Manufacturer

Installed Base Proof of Concept unlocking the path from 7% to 13% service revenue

A Danish industrial machinery manufacturer wanted to nearly double its share of service revenue - from 7% to 13% of the business - but had no consolidated view of its installed base. Information about sold machines, components, service history, warranty status, and spare-parts needs lived scattered across Business Central, K- and R-drive folders, Excel sheets, and the heads of a few key employees. Service technicians arrived on-site without checklists, sales had no way to spot the highest-potential customers, and management could not steer the service business with reliable KPIs.

DKK 1.8–2.5M

near-term service revenue opportunity surfaced from a single installed-base use case

368 machines

consolidated into one Power BI source of truth, replacing Business Central, K/R-drive, and Excel silos

Read full case

AI Adoption & UpskillingIndustrial Machinery Manufacturer

Tailored Microsoft Copilot training that turned curiosity into daily AI use

Despite strong management ambitions to use AI strategically, day-to-day adoption inside the company was very low. Microsoft Copilot was available but rarely used, and teams across design, sales, service, and operations had no shared understanding of where AI could realistically help in their work. Without lifting baseline AI fluency, every other AI initiative - from the installed-base programme to future automation - would struggle to land.

+69%

increase in self-reported AI competence after training

+63%

increase in self-reported Copilot usage - many users moved from weekly to daily

Read full case

What we do

AI Consultancy

Strategic guidance and support for your industrial AI initiatives.

AI Program Strategy Vendor & Technology Advisory Change Management Governance & Risk Management

AI Development

Custom AI solutions built for your manufacturing and service needs.

Model Design & Architecture Proof of Concept & Pilots Productization & Scaling ML Ops, LLM Ops & DevOps AI Applications & Use Cases

Data Engineering

Reliable data infrastructure to power your industrial AI systems.

Data Infrastructure & Architecture Data Pipelines & Integration APIs & Interoperability Data Governance & Quality Visualization & Insights Enablement

Quick wins for industrial operations

ROI from the data you already have.

Installed Base Intelligence

Unify ERP, CRM, and service logs to understand your installed base. Improve parts forecasting, warranty performance, and service planning.

Predictive Maintenance

Use sensor data and maintenance logs to anticipate failures. Reduce unplanned downtime, whether in the factory or in the field.

Quality & Process Optimization

Apply ML and vision to detect defects early and stabilize production processes. Improve yield, reduce scrap, and increase throughput.

FactoryForward™ AI Program

A structured program for building and scaling AI across both manufacturing and aftermarket operations. The program helps you define direction, connect data, validate use cases, and deploy solutions that work in production and in the field.

Industrial operations and AI collaboration

Why This Program Works

Tech-Agnostic Approach

Recommendations based on real value, not platform preference.

Leverage Existing Data

Use the data you already collect across MES, ERP, CRM, historians, and connected equipment.

Full Lifecycle Support

From early scoping to full-scale deployment, we support your teams every step of the way.

See how the program benefits you

Industry challenges

Industrial companies face a dual challenge: improving factory performance while strengthening aftermarket services in a competitive global landscape.

Administrative Challenges

Aligning data, systems, and decisions across the enterprise.

Fragmented ERP, CRM, and PLM data

Manual reporting and unreliable insights

Lack of installed base transparency and profitability data

Operational Challenges

Managing variability, uptime, and customer expectations at scale.

Unplanned downtime in production or the field

Scrap, rework, and quality inconsistencies

Overreliance on individual expertise

Inefficient maintenance and service planning

Cross-Industry Meta-Map of High-ROI AI Use Cases

This PDF brings together global AI use cases from a wide range of industrial sectors. It shows how different companies are capturing measurable impact - from operational efficiency to improved uptime, and serves as inspiration when shaping your own AI roadmap.

The cases span industries such as:

Heavy industrial machinery and equipment manufacturing
Food, beverage and packaging production
Electronics and component manufacturing
Machine and equipment manufacturing
Mining

It's a focused, high-level reference designed to spark ideas and help teams see where AI is already delivering real value across the world.

Read the magazine with 20+ AI cases from the Industrial sector

Installed Base & AI

This PDF explains how manufacturers can turn their Installed Base data into a real commercial advantage. It walks through the typical challenges such as scattered machine information, limited service insight, and slow decision making, and shows how a structured Installed Base approach combined with AI can improve service revenue, strengthen margins, and simplify daily operations.

It is a clear and practical overview for teams who want to understand what Installed Base looks like in real use and how AI can support management, service, sales, and supply chain work.

Read the Installed Base & AI PDF

Let's talk

Schedule a call to discuss how we can help your operations.

We're a team of AI consultants and engineers specialized in the mining & industrial industry. Our work focuses on helping companies unlock measurable value from their existing data - from predictive maintenance to operational optimization.