Training models for 300+ invoice formats bottlenecked operations. Now, generative AI extracts data instantly; staff review exceptions.
A global business services organization managing utility bill processing at massive scale, handling over 100,000 invoices monthly from more than 100 utility providers across 70 markets.
Processing more than 300 distinct invoice variations with traditional trained models became unscalable, requiring months of development work for each...
“The impact of this program has been transformative for our operations. By modernizing invoice processing with intelligent automation, we’ve unlocked new levels of efficiency, accuracy, and scalability across our utility partners.”
Concentrix's Invoice processing is part of this use case:
Customer experience technology and business process outsourcing services.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
A 16-person team hand-keyed hundreds of daily invoices. AI now extracts and routes data, freeing staff to resolve exceptions.
Manual 3,000-page applications delayed deployments for years. Now, engineers use AI to draft and map them to regulations in seconds.
Teams spent 20 minutes matching each invoice. AI now reconciles poor scans and physical stamps in 8 seconds.
A 16-person team hand-keyed hundreds of daily invoices. AI now extracts and routes data, freeing staff to resolve exceptions.
Teams spent 20 minutes matching each invoice. AI now reconciles poor scans and physical stamps in 8 seconds.
Manual call notes burdened agents, while managers struggled to track promises. Now, AI copilots automate summaries and verify commitments.
Staff struggled to evaluate raw ideas. Now, an AI assistant guides them to assess feasibility and draft actionable proposals.
Manual translation dragged 60-minute calls to 90+, silencing experts. Now, live AI captions let teams collaborate in native languages.
Fleet repair estimates took up to 48 hours. Autonomous agents now process them in 30 minutes, absorbing a 10x volume surge.
Training models for 300+ invoice formats bottlenecked operations. Now, generative AI extracts data instantly; staff review exceptions.
A global business services organization managing utility bill processing at massive scale, handling over 100,000 invoices monthly from more than 100 utility providers across 70 markets.
Processing more than 300 distinct invoice variations with traditional trained models became unscalable, requiring months of development work for each...
“The impact of this program has been transformative for our operations. By modernizing invoice processing with intelligent automation, we’ve unlocked new levels of efficiency, accuracy, and scalability across our utility partners.”
Concentrix's Invoice processing is part of this use case:
Customer experience technology and business process outsourcing services.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
A 16-person team hand-keyed hundreds of daily invoices. AI now extracts and routes data, freeing staff to resolve exceptions.
Manual 3,000-page applications delayed deployments for years. Now, engineers use AI to draft and map them to regulations in seconds.
Teams spent 20 minutes matching each invoice. AI now reconciles poor scans and physical stamps in 8 seconds.
A 16-person team hand-keyed hundreds of daily invoices. AI now extracts and routes data, freeing staff to resolve exceptions.
Teams spent 20 minutes matching each invoice. AI now reconciles poor scans and physical stamps in 8 seconds.
Manual call notes burdened agents, while managers struggled to track promises. Now, AI copilots automate summaries and verify commitments.
Staff struggled to evaluate raw ideas. Now, an AI assistant guides them to assess feasibility and draft actionable proposals.
Manual translation dragged 60-minute calls to 90+, silencing experts. Now, live AI captions let teams collaborate in native languages.
Fleet repair estimates took up to 48 hours. Autonomous agents now process them in 30 minutes, absorbing a 10x volume surge.