AI is already reshaping how health plans connect with members. But persistent, old assumptions keep many organizations from moving forward.

Alongside our Chief Medical Officer, Dr. Dr. Geeta Nayyar, MD, MBA , I recently presented on this topic at AHIP.

Here are five common myths and the realities we addressed during our talk.

Myth 1: “Our members won’t engage with us.” Reality: Members engage when outreach is relevant. Personalized healthcare interactions - refill reminders, diabetes program enrollment nudges, preventive screening invitations - consistently outperform generic outreach. Organizations that shifted from broad blasts to intelligent personalization have seen a to 3.5x to 8x lift in driving healthcare-related behaviors¹. Engagement isn’t the problem, relevance is.

Myth 2: “Our data is too siloed and messy to use AI.” Reality: Modern AI unifies disparate data that legacy stacks couldn’t. Claims, diagnostics, demographics, marketing touchpoints, app events - RadiantGraph’s health data engine, for example, can reconcile 100M+ member data points in days, not years. Data complexity is an imaginary blocker, not a real one.

Myth 3: “It will take years and cost tens of millions.” Reality: AI-led engagement goes live fast - and costs less than the status quo. Plans can move from contract to live deployment in about six weeks. Intelligent personalization also reduces overhead: one organization, for example, cut marketing by 48% while maintaining full population reach.

Myth 4: “We’ll need dozens of people across multiple teams.” Reality: AI allows human teams to scale outreach. Instead of manually pulling lists, custom code, and endless approvals; machines can identify healthcare needs, craft AI campaigns, and optimize them 24/7. This approach leaves product, marketing and operational teams  focused on strategy, not swivel-chair operations.

Myth 5: “Members only contact us to complain about costs.” Reality: Members need guidance, not just grievance channels. AI-powered assistants are already helping with refills, Medicare onboarding, and preventive care. This transforms one-off interactions into ongoing, supportive relationships.

Breaking the cycle In summary, the era of rigid silos, multi-year rollouts, and generic outreach is over. With RadiantGraph's AI-driven personalization, healthcare can finally deliver the right message, to the right member, at the right time. This isn’t a five-year roadmap - it’s happening now.

The real question isn’t if health plans can adopt AI-led engagement. It’s whether we’ll seize the opportunity to make healthcare feel human again. It’s worth the try! Want to know more?  Reach out to us at radiantgraph.com

¹ Based on analysis of client engagement improvements achieved with RadiantGraph.