Healthcare and life sciences have a unique challenge when it comes to using AI for marketing, sales, and communications: accuracy isn't a nice-to-have. It's a must-have.
In this episode of The Beat's AI at Health series, host Sandy Vance talks with Divya Srungaram, VP of Healthcare Solutions at WRITER, about how AI agents are helping healthcare organizations accelerate highly regulated workflows without sacrificing compliance, accuracy, or human oversight.
Divya shares why healthcare marketing campaigns can take nine to 12 months to move from brief to launch, and how AI agents can embed legal and compliance requirements directly into the content creation process, reducing the back-and-forth that traditionally slows teams down.
Some of the key takeaways include: organizations shouldn't start by trying to automate every step of an existing process. Instead, they should start with the outcome they need to achieve and then determine how AI can orchestrate the work.
As healthcare organizations move from experimenting with AI to deploying it at scale, Divya sees an inflection point ahead, one where domain expertise combined with AI fluency could become a significant competitive advantage.
In this episode, they talk about:
Why healthcare content creation is so slow and how AI agents can change the equation
Building compliance and legal requirements directly into AI workflows
Using checker agents and traceability to reduce AI risk
How AI can accelerate complex Medicaid RFPs
Why organizations should start with outcomes rather than existing processes
The importance of data discipline and a clear source of truth
Preparing employees for roles that will change as AI adoption grows
Measuring AI ROI through speed, revenue, sales effectiveness, and efficiency
How AI can make healthcare communications more empathetic and easier to understand
Why healthcare organizations may be approaching an AI inflection point
A Little About Divya:
Divya Srungaram is Vice President of Healthcare Solutions at WRITER, where she leads the healthcare vertical, helping health plans and providers deploy generative AI to drive measurable impact across commercial and operational workflows.
She is a healthcare AI executive with nearly two decades of experience transforming payer and provider operations through generative AI, machine learning, and advanced analytics. She brings deep expertise across claims, utilization management, care management, and risk adjustment, and has served as a trusted advisor to multi-billion-dollar health plans on enterprise AI strategy, responsible AI governance, and large-scale implementation. Her work focuses on translating data and AI into actionable insights and solutions that help health plans better understand employer populations, manage cost trends, and drive improved engagement and outcomes across Commercial and Medicare lines of business.
Divya was a leader in the Healthcare Strategy & Analytics practice at Deloitte, where she advised large healthcare organizations on transformation and led the development of AI-driven products and data platforms. She later served as VP of Product at Blue Health Intelligence, where she led the Employer Analytics platform supporting multiple Blue Cross Blue Shield plans and millions of members. Most recently, as SVP of Provider Growth and Product at Allymar Health, she led product strategy and growth for Medicare solutions, developing AI-enabled capabilities to improve documentation quality, risk adjustment accuracy, and clinical workflows.
She holds a Bachelor’s degree in Computer Systems Engineering from Massey University (New Zealand) and an MBA from Harvard Business School.
