Insurance bottlenecks delayed critical therapies for months. Now, AI verifies coverage, freeing care teams to guide patients to treatment.
A global pharmaceutical leader offering specialty therapies for chronic and rare diseases, operating in an environment where up to 90 percent of patients never receive their prescribed medications due to access barriers.
The journey from diagnosis to treatment was hindered by insurance authorizations, affordability concerns, and fragmented coordination across the...
“By combining cutting-edge technology with a deep understanding of patient needs and innovative change management, Accenture helped Sanofi deliver better patient outcomes at scale.”
Biopharmaceutical company specializing in immunology, vaccines, and rare diseases.
Provided Salesforce Health Cloud and Service Cloud to power the iCare+ patient services platform.
Sanofi's Patient support services is part of this use case:
Related implementations across industries and use cases
Tech gaps slowed innovation cycles to months. A self-service platform now lets 25,000 employees build AI prototypes in just one hour.
Surging demand overwhelmed staff. AI agents now handle refills, cutting call volume 15% so teams can focus on complex diagnoses.
Manual coaching bottlenecked reps. An AI bot now simulates doctor visits in 14 scenarios, saving 7,000 hours annually.
Previously, agents manually handled all simple info requests—30% of contacts. Now, an AI agent resolves these queries automatically.
Refunds meant manual checks across systems. Now, AI agents verify eligibility and execute transactions instantly.
Generic AI mangled chemistry terms; manual translation took months. Glossary-tuned AI now earns enough trust to publish before human review.
QA teams manually searched vast incident logs to assess deviations. Now, multi-agent AI synthesizes past cases into verified summaries.
Basic troubleshooting consumed agents' time. Now, an AI fluent in local dialects independently resolves 73% of these cases.
Manually evaluating high call volumes was slow and inaccurate. Now, AI extracts sentiment so sales teams can refine their outreach.
Insurance bottlenecks delayed critical therapies for months. Now, AI verifies coverage, freeing care teams to guide patients to treatment.
A global pharmaceutical leader offering specialty therapies for chronic and rare diseases, operating in an environment where up to 90 percent of patients never receive their prescribed medications due to access barriers.
The journey from diagnosis to treatment was hindered by insurance authorizations, affordability concerns, and fragmented coordination across the...
“By combining cutting-edge technology with a deep understanding of patient needs and innovative change management, Accenture helped Sanofi deliver better patient outcomes at scale.”
Biopharmaceutical company specializing in immunology, vaccines, and rare diseases.
Provided Salesforce Health Cloud and Service Cloud to power the iCare+ patient services platform.
Sanofi's Patient support services is part of this use case:
Related implementations across industries and use cases
Tech gaps slowed innovation cycles to months. A self-service platform now lets 25,000 employees build AI prototypes in just one hour.
Surging demand overwhelmed staff. AI agents now handle refills, cutting call volume 15% so teams can focus on complex diagnoses.
Manual coaching bottlenecked reps. An AI bot now simulates doctor visits in 14 scenarios, saving 7,000 hours annually.
Previously, agents manually handled all simple info requests—30% of contacts. Now, an AI agent resolves these queries automatically.
Refunds meant manual checks across systems. Now, AI agents verify eligibility and execute transactions instantly.
Generic AI mangled chemistry terms; manual translation took months. Glossary-tuned AI now earns enough trust to publish before human review.
QA teams manually searched vast incident logs to assess deviations. Now, multi-agent AI synthesizes past cases into verified summaries.
Basic troubleshooting consumed agents' time. Now, an AI fluent in local dialects independently resolves 73% of these cases.
Manually evaluating high call volumes was slow and inaccurate. Now, AI extracts sentiment so sales teams can refine their outreach.