Industrility and Arthur D. Little demonstrates AI-Driven Maintenance Intelligence for Asset-Intensive Industries

Press Release: Link
 Industrility‘s AI-Powered Aftermarket Platform is setting a new benchmark for maintenance intelligence in asset-intensive industries, with production-validated results across complex technical documentation at scale.
In a recent collaboration with Arthur D. Little (ADL), Industrility demonstrated how its Agentic AI Platform can accelerate the extraction, structuring, and use of maintenance knowledge from dense OEM documentation, reducing manual analysis time from days to hours while dramatically improving the quality and completeness of maintenance task identification.
Industrility’s platform deploys purpose-built Industrial AI Agents, DocAgent for document intelligence and TwinAgent for machine-level reasoning, forming a complete maintenance intelligence engine. Together, they ingest hundreds of pages of OEM documentation, identify maintenance tasks regardless of location or language, link knowledge across multiple vendor sources, and surface condition-based and environmental triggers that manual processes routinely miss.
An example of Business Outcomes created through Industrility’s Platform: 2 Power Plants, 121 Documents, 48,400 Pages
– 160x faster processing
– 92% extraction accuracy
– 469% more maintenance activities identified
– 94% cost reduction
– 99%+ reliability across 54,630 Google Gemini API calls
The platform’s SOC 2 Type II certification meets the rigorous security, availability, and confidentiality standards required for critical national infrastructure, essential for utility operators handling sensitive OEM documentation and operational asset data. Industrility was also recognized by Google Cloud among the startups building the agentic future, further validating its technical leadership at scale.
What This Means for Asset-Intensive Industries
Power utilities were the starting point, but the implications stretch across any sector where assets are complex, documentation is dense, uptime is critical and the cost of missed maintenance is high. Oil and gas, mining, rail, chemical, utilities, pharmaceutical industries and manufacturing: the challenge is the same. Embedded AI in maintenance is used as an operational tool delivering measurable outcomes improving safer, reliable, sustainable and efficient production environments today.
About Industrility
Industrility is a Seattle-based technology leader with deep roots in industrial operations and decades of domain expertise. We partner with Industrial OEMs to accelerate their transformation from product-centric manufacturers to service-driven enterprises. Leveraging cutting-edge Software, Data, and AI, we help our clients drive operational excellence, enhance customer satisfaction, and unlock new revenue streams through innovative models like Equipment-as-a-Service (EaaS).
Our team brings together a unique blend of industrial know-how and digital innovation, enabling scalable, secure, and future-ready solutions. With a firm commitment to data security and privacy, Industrility is proud to be SOC 2 compliant. Learn more at www.industrility.com.
About Arthur D. Little
Arthur D. Little is the world’s original management consulting firm, founded in 1886, linking strategy, innovation, and transformation across complex, technology-driven industries. With around 1,700 professionals across more than 50 offices globally, Arthur D. Little serves clients in major business centers worldwide. Learn more at www.adlittle.com.
Media Contact Information:
Achint Varia,
+14252423086
media@industrility.com

