Teams spent 20 minutes matching each invoice. AI now reconciles poor scans and physical stamps in 8 seconds.
One of the world's largest medical device companies, providing solutions in more than 150 countries with a portfolio spanning cardiovascular, neuroscience, and diabetes care.
Teams spent up to 20 minutes per invoice manually matching billing documents against proof of delivery and purchase orders. This labor-intensive...
“By focusing on tangible business outcomes, our partnership with IBM delivered transformative results—reducing open accounts receivable to improve free cash flow, elevating team productivity to unlock capacity for higher-value work and enhancing accuracy.”
Medical technology and devices for chronic disease management and surgery.
Enterprise technology and consulting for cloud computing, AI, and business solutions.
Customized the DIP Accelerator to integrate with Medtronic’s workflows and automate matching.
Related implementations across industries and use cases
Identifying materials required manually scouring intricate drawings. AI now extracts specs into a database for instant search.
Manual scheduling trapped recruiters in logistics. AI now automates interview coordination, freeing teams for strategic work.
Unassigned invoices clogged inboxes. AI now imports docs directly to the ERP and predicts coding to clear global backlogs.
Identifying materials required manually scouring intricate drawings. AI now extracts specs into a database for instant search.
Unassigned invoices clogged inboxes. AI now imports docs directly to the ERP and predicts coding to clear global backlogs.
Scattered data slowed prep for 15-minute visits. AI now fuses insights into instant briefs, saving reps one full day of admin weekly.
Manual Excel models bottlenecked the network. Now, AI optimizes inventory while bots provide 24/7 service.
Rigid rules slowed 990,000 invoices. ML now matches payments across 1,000 process variants, freeing cash trapped in manual cycles.
Finance teams managed 1.5M transactions via scattered spreadsheets. Now, AI agents extract data and route journal entries in seconds.
Teams spent 20 minutes matching each invoice. AI now reconciles poor scans and physical stamps in 8 seconds.
One of the world's largest medical device companies, providing solutions in more than 150 countries with a portfolio spanning cardiovascular, neuroscience, and diabetes care.
Teams spent up to 20 minutes per invoice manually matching billing documents against proof of delivery and purchase orders. This labor-intensive...
“By focusing on tangible business outcomes, our partnership with IBM delivered transformative results—reducing open accounts receivable to improve free cash flow, elevating team productivity to unlock capacity for higher-value work and enhancing accuracy.”
Medical technology and devices for chronic disease management and surgery.
Enterprise technology and consulting for cloud computing, AI, and business solutions.
Customized the DIP Accelerator to integrate with Medtronic’s workflows and automate matching.
Related implementations across industries and use cases
Identifying materials required manually scouring intricate drawings. AI now extracts specs into a database for instant search.
Manual scheduling trapped recruiters in logistics. AI now automates interview coordination, freeing teams for strategic work.
Unassigned invoices clogged inboxes. AI now imports docs directly to the ERP and predicts coding to clear global backlogs.
Identifying materials required manually scouring intricate drawings. AI now extracts specs into a database for instant search.
Unassigned invoices clogged inboxes. AI now imports docs directly to the ERP and predicts coding to clear global backlogs.
Scattered data slowed prep for 15-minute visits. AI now fuses insights into instant briefs, saving reps one full day of admin weekly.
Manual Excel models bottlenecked the network. Now, AI optimizes inventory while bots provide 24/7 service.
Rigid rules slowed 990,000 invoices. ML now matches payments across 1,000 process variants, freeing cash trapped in manual cycles.
Finance teams managed 1.5M transactions via scattered spreadsheets. Now, AI agents extract data and route journal entries in seconds.