How SCAN Health Plan Repurposed Thousands of Hours with Writer AI
SCAN Health Plan, a non-profit Medicare Advantage plan, deployed Writer's generative and agentic AI platform to build an internal knowledge assistant and personalize member communications. The implementation repurposed thousands of staff hours previously spent on manual content work and delivered 60–80% time savings on derivative content creation, with high satisfaction scores in KPMG-assessed user research.
Impact
60–80%
Derivative content creation time savings
Thousands of hours
Staff hours repurposed
Challenge
SCAN Health Plan's staff spent significant manual time producing derivative content and personalizing member communications, with no scalable way to surface approved internal knowledge on demand — a particular constraint in a Medicare Advantage context where accuracy and regulatory compliance are non-negotiable.
Solution
SCAN Health Plan deployed Writer AI Studio and Writer Knowledge Graph to build an internal knowledge assistant that surfaces approved content to staff and a generative AI workflow for personalizing member communications — grounding all outputs in verified internal knowledge to maintain accuracy in a regulated healthcare environment.
Tools & Technologies
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Full Story
SCAN Health Plan is a non-profit Medicare Advantage organization providing health coverage to seniors across California and other US states. The company's operations span clinical, administrative, and member-facing functions that collectively generate a high volume of content — member communications, internal knowledge resources, and derivative materials that require consistent accuracy and brand voice across a regulated healthcare context.
Before deploying Writer, SCAN's teams relied on manual workflows for content creation and knowledge retrieval. Staff producing derivative content — materials adapted from existing approved sources — invested significant time in manual search, synthesis, and formatting that did not add clinical or strategic value. Member communications required similar effort to personalize and adapt at scale. The combination of volume, accuracy requirements, and regulatory sensitivity in Medicare communications made this an operationally costly problem.
SCAN selected Writer's AI platform for its enterprise-grade compliance posture and its ability to operate within a knowledge-grounded framework. The team deployed two primary capabilities: a Writer-powered internal knowledge assistant that surfaces approved content to staff on demand, and a generative AI workflow for personalizing member communications. Writer AI Studio provided the application layer for building these workflows, while Writer Knowledge Graph grounded responses in SCAN's verified internal content — reducing the risk of hallucination in a healthcare context where accuracy is non-negotiable.
The results were validated through KPMG-led user research. Staff reported high satisfaction with the knowledge assistant experience, and the personalization workflow delivered 60–80% time savings on derivative content creation. Across the organization, thousands of hours previously consumed by manual content work were repurposed to higher-value tasks. The platform's ability to maintain accuracy while accelerating output was particularly important given Medicare Advantage's strict compliance environment.
SCAN Health Plan's deployment illustrates a common pattern in healthcare administration: the intersection of high content volume, strict accuracy requirements, and a preference for AI platforms with enterprise compliance controls drives demand for knowledge-grounded generative AI rather than general-purpose LLM deployments. Writer's architecture — grounding generation in vetted internal content via Knowledge Graph — maps directly to that requirement profile.