{"slug":"concentrix-uses-gpt-5-to-automate-invoice-processing-at-100-000-invoices-per-month","url":"https://findausecase.com/use-cases/concentrix-uses-gpt-5-to-automate-invoice-processing-at-100-000-invoices-per-month","title":"Concentrix uses GPT-5 to automate invoice processing at 100,000 invoices per month","description":"Concentrix, a global business services provider, built an intelligent document processing solution on Microsoft Power Platform and AI Hub using generative AI models based on GPT-5 multimodal LLM to interpret entire utility invoices (over 300 distinct layout patterns from 100+ providers) in a single step via prompts, replacing a trained-model approach that struggled to scale. The solution now processes 100,000 invoices per month (with plans to reach 800,000), improved extraction accuracy from 65-70% to as high as 99%, cut invoice-pattern development from months to no dev cycle at all, and reduced operational headcount for invoice processing from about 40 to 11 people.","company":"Concentrix","industry":"Consumer Goods","country":"United States","aiCapabilities":["Document Intelligence","Generative AI"],"technology":["Microsoft Power Platform","AI Hub","Power Automate","Power Apps","Dataverse","SharePoint","Microsoft Teams","SQL Server","GPT-5"],"deployment":"Public Cloud","problemStatement":"Concentrix needed a better way to manage rapidly growing invoice volumes from more than 100 utility providers, each using different formats and layouts, after manual and semi-automated processes became unmanageable as volumes grew from a few hundred to over 100,000 invoices per month spanning more than 300 distinct layout patterns.","solutionApproach":"Concentrix built an intelligent document processing solution on Microsoft Power Platform and AI Hub, shifting from trained-model automation to a prompt-based approach using generative AI models built on the GPT-5 multimodal LLM to interpret entire invoices in a single step, combined with Power Automate, AI Builder, OCR, Dataverse and a Power Apps review app for exception handling.","businessValue":"The solution now processes 100,000 invoices per month, improved data extraction accuracy from 65-70% to as high as 99%, eliminated the months-long development cycle previously needed for new invoice patterns, and reduced the team managing invoice patterns and extraction workflows from about 40 people to 11, with automation reducing manual processing roles by 50 to 60 people.","evidence":{"band":"high"},"sourceUrl":"https://www.microsoft.com/en/customers/story/26378-concentrix-microsoft-power-platform","dates":{"publishedAt":"2026-09-26T05:45:39.378Z","publishedAtSource":"pipeline","updatedAt":"2026-09-26T05:45:39.378Z"},"license":"Open for reading and citing with a link to https://findausecase.com/use-cases/concentrix-uses-gpt-5-to-automate-invoice-processing-at-100-000-invoices-per-month. Bulk republication requires permission."}