38% of repairs happened after failure. AI now correlates images and sensors to predict faults, saving one site £8.4M annually.
A global software provider serves critical industries like aerospace and energy, where equipment failures can ground planes or shut down power grids.
Fragmented data in legacy systems forced technicians into reactive maintenance, with 38% of repairs at one client site occurring only after failure....
“We're working in environments where safety and compliance aren't optional. If you don't build AI safety-first in our world, lives are put at risk.”
Enterprise software for asset management, field service, and resource planning.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
IFS's Industrial equipment maintenance is part of this use case:
Related implementations across industries and use cases
Mid-ocean diagnostics took hours per issue. AI now combines 5M docs with live telemetry to troubleshoot in <1 min.
Staff spent an hour manually converting each of 1,500 Excel files. AI now extracts that data into structured job plans.
Servicing 1.4M elevators required manual data prep. Now, an AI agent equips technicians with real-time telemetry before they arrive.
Manual reviews and language gaps dragged repairs to a week. AI now diagnoses faults in 100 languages, halving the cycle.
Attendants couldn't memorize procedures for 340 equipment types. Now, an AI app surfaces exact fixes directly to frontline staff.
Manual 12-day checks for EU deforestation rules created risk. Now, an AI traces the supply chain in 3 minutes, ensuring full compliance.
Minor updates required 3.5-hour re-recordings. Now, teams use AI avatars to regenerate training videos from slides in 30 minutes.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
38% of repairs happened after failure. AI now correlates images and sensors to predict faults, saving one site £8.4M annually.
A global software provider serves critical industries like aerospace and energy, where equipment failures can ground planes or shut down power grids.
Fragmented data in legacy systems forced technicians into reactive maintenance, with 38% of repairs at one client site occurring only after failure....
“We're working in environments where safety and compliance aren't optional. If you don't build AI safety-first in our world, lives are put at risk.”
Enterprise software for asset management, field service, and resource planning.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
IFS's Industrial equipment maintenance is part of this use case:
Related implementations across industries and use cases
Mid-ocean diagnostics took hours per issue. AI now combines 5M docs with live telemetry to troubleshoot in <1 min.
Staff spent an hour manually converting each of 1,500 Excel files. AI now extracts that data into structured job plans.
Servicing 1.4M elevators required manual data prep. Now, an AI agent equips technicians with real-time telemetry before they arrive.
Manual reviews and language gaps dragged repairs to a week. AI now diagnoses faults in 100 languages, halving the cycle.
Attendants couldn't memorize procedures for 340 equipment types. Now, an AI app surfaces exact fixes directly to frontline staff.
Manual 12-day checks for EU deforestation rules created risk. Now, an AI traces the supply chain in 3 minutes, ensuring full compliance.
Minor updates required 3.5-hour re-recordings. Now, teams use AI avatars to regenerate training videos from slides in 30 minutes.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.