AI agents dialing insurers still took days. A graph database now reuses past answers to verify benefits in seconds without a call.
A healthcare AI platform supporting 44% of the Fortune 50 that has automated over 100 million minutes of insurance verification calls.
The team aimed to move from automating calls to avoiding them entirely by reusing data, but their PostgreSQL database choked on complex, nested...
“The value is the information, not the communication. If we have already verified that a specific plan in California covers a specific treatment for ten previous patients, why do we need to call the insurance company for the eleventh patient? We should just know.”
Infinitus's Insurance verification is part of this use case:
Voice AI platform for automating clinical and administrative healthcare calls.
Graph database and analytics platform for enterprise data relationships.
Related implementations across industries and use cases
Abstractors spent 6 hours hunting details per complex case. Now, they validate AI findings in 90 mins, saving 6,000 annual labor hours.
Legacy NLP buried doctors in noise. AI now standardizes messy charts into audit-ready risk predictions, cutting false positives by 50%.
Navigating 100,000 medical codes manually stalled billing. AI now predicts and routes them to EHRs, cutting manual work by 70%.
Home care callers previously navigated slow phone trees. Now, an empathetic 24/7 AI handles routine needs, routing emergencies to staff.
Manual outreach couldn't keep pace. AI agents now contact 100,000 patients in a single day for preventative care.
Manual scheduling took 3 days, slowing hiring. An AI agent now screens and books interviews in 29 minutes, doubling scheduled volume.
Compliance risks held back innovation. Engineers now use Claude Code to validate every PR for privacy and write tests 80% faster.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.
AI agents dialing insurers still took days. A graph database now reuses past answers to verify benefits in seconds without a call.
A healthcare AI platform supporting 44% of the Fortune 50 that has automated over 100 million minutes of insurance verification calls.
The team aimed to move from automating calls to avoiding them entirely by reusing data, but their PostgreSQL database choked on complex, nested...
“The value is the information, not the communication. If we have already verified that a specific plan in California covers a specific treatment for ten previous patients, why do we need to call the insurance company for the eleventh patient? We should just know.”
Infinitus's Insurance verification is part of this use case:
Voice AI platform for automating clinical and administrative healthcare calls.
Graph database and analytics platform for enterprise data relationships.
Related implementations across industries and use cases
Abstractors spent 6 hours hunting details per complex case. Now, they validate AI findings in 90 mins, saving 6,000 annual labor hours.
Legacy NLP buried doctors in noise. AI now standardizes messy charts into audit-ready risk predictions, cutting false positives by 50%.
Navigating 100,000 medical codes manually stalled billing. AI now predicts and routes them to EHRs, cutting manual work by 70%.
Home care callers previously navigated slow phone trees. Now, an empathetic 24/7 AI handles routine needs, routing emergencies to staff.
Manual outreach couldn't keep pace. AI agents now contact 100,000 patients in a single day for preventative care.
Manual scheduling took 3 days, slowing hiring. An AI agent now screens and books interviews in 29 minutes, doubling scheduled volume.
Compliance risks held back innovation. Engineers now use Claude Code to validate every PR for privacy and write tests 80% faster.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.