Manual pivot tables missed complex fraud rings. A graph database now links scattered evidence, cutting investigations from weeks to minutes.
A global biopharmaceutical company facing a $431 billion counterfeit market where criminals distribute fake life-saving HIV drugs and antipsychotics.
Investigators relied on manual Excel pivot tables to stitch together scattered evidence, creating a bottleneck that missed complex criminal rings...
“When we’re preventing fraud, it’s because criminals are defrauding programs meant to benefit folks who can’t afford medication. Everything goes back to patient safety. When fraud happens, that’s who it affects the most.”
Biopharmaceutical company developing antiviral medicines and oncology treatments.
Graph database and analytics platform for enterprise data relationships.
Related implementations across industries and use cases
Clinical teams spent hours manually compiling siloed data. Now, AI agents query those systems to deliver trial insights in minutes.
Scientists spent weeks manually searching 38 million files. Agents now finish in minutes, saving 43,000 hours.
Teams reactively managed trials across scattered systems. AI now integrates data to predict bottlenecks and recommend interventions.
Analysts manually reviewed mountains of data for every alert. Now, AI agents summarize and verify facts, boosting efficiency by ~20%.
Call filters missed scams hidden in images. Now, AI analyzes user screenshots and flags fraud risks in under 5 seconds.
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.
Manual pivot tables missed complex fraud rings. A graph database now links scattered evidence, cutting investigations from weeks to minutes.
A global biopharmaceutical company facing a $431 billion counterfeit market where criminals distribute fake life-saving HIV drugs and antipsychotics.
Investigators relied on manual Excel pivot tables to stitch together scattered evidence, creating a bottleneck that missed complex criminal rings...
“When we’re preventing fraud, it’s because criminals are defrauding programs meant to benefit folks who can’t afford medication. Everything goes back to patient safety. When fraud happens, that’s who it affects the most.”
Biopharmaceutical company developing antiviral medicines and oncology treatments.
Graph database and analytics platform for enterprise data relationships.
Related implementations across industries and use cases
Clinical teams spent hours manually compiling siloed data. Now, AI agents query those systems to deliver trial insights in minutes.
Scientists spent weeks manually searching 38 million files. Agents now finish in minutes, saving 43,000 hours.
Teams reactively managed trials across scattered systems. AI now integrates data to predict bottlenecks and recommend interventions.
Analysts manually reviewed mountains of data for every alert. Now, AI agents summarize and verify facts, boosting efficiency by ~20%.
Call filters missed scams hidden in images. Now, AI analyzes user screenshots and flags fraud risks in under 5 seconds.
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.