The client needed to make Medicare decision-making faster, clearer, and more personalized across the full member, broker, and clinician journey.
Before the engagement, critical information about providers, medications, formularies, coverage, and out-of-pocket costs was fragmented across complex workflows, making it difficult for seniors to compare plans, brokers to answer enrollment questions quickly, and clinicians to discuss cost-aware care options at the point of care. BlueLabel was brought in to help the partner safely embed AI into its Medicare Advantage ecosystem through rapid conversational AI experiments, a broker assistant prototype, and a clinician-facing copilot inside its core care platform. The work also created a repeatable AI experimentation lane, helping the organization test, validate, and scale high-value AI use cases with lower risk.
BlueLabel built a connected set of RAG-based AI assistants for a national Medicare Advantage organization: a broker-facing assistant that unifies provider, plan, formulary, and cost data into one natural-language workflow, plus clinician-facing workflows that surface formulary tiers and lower-cost drug alternatives at the point of care.
Projected annual savings if the assistant scales from a 100-broker pilot to roughly 300 active brokers.
Projected annual time savings if the clinician assistant scales to 100,000+ members.
Reduced estimated broker lookup time from 8 minutes to 2 minutes for complex provider, medication, and coverage questions.
- How a Restructuring Firm Cut Senior Time Onboarding Juniors 60%OutcomeCatalyst · Professional Services
- AI Knowledge Agent for Real Estate TrainingPressW · Real Estate
- How a Real Estate Advisory Cut File Research to 45 MinutesNorth Group · Real Estate
- RAG Chatbot for School District Staff Q&APressW · Education & EdTech