The Tenets of
Lirio’s Approach

Information alone doesn’t change behavior. To help patients, members, and consumers stay consistent on their health journeys, they need personalized motivation — a nudge at the right time.

Lirio’s Personalization Engine, powered by our proprietary Large Behavior Model (LBM), fuses behavioral science and AI to activate individuals through hyper-personalized communications.

By delivering the right content, through the right channel, at the right moment, we overcome individual barriers to action and drive measurable progress along each person’s unique path to better health and wellness.

Rooted in Behavioral Science

Improving health outcomes requires more than clinical insights—it also hinges on how people make decisions based on where they live, work, and play. By understanding the why behind these motivations, healthcare, payer, and life science organizations can truly engage who they are trying to reach. 

Lirio applies evidence-based behavioral science to help healthcare, pharmaceutical, and life sciences organizations move people toward sustained change. By focusing on each person’s next best action, you can:

Increase Acquisition & Retention Across Patients, Members, and Consumers

Close Gaps in Care & Adherence

Advance Condition & Therapy Management

Boost Satisfaction, Trust & Long-term Loyalty

Shaped by Four Continuous Elements

Clinical care impacts only 20% of health outcomes, while the outstanding majority is driven by individual socioeconomic factors, physical environments, and health behaviors. That means traditional “tell them what to do” approaches rarely work. Even segmented outreach via email, SMS, or mail leaves major engagement gaps.

Lirio’s Precision Nudging® uses AI-informed behavioral science to continuously learn and adapt — creating dynamic, personalized experiences that move people toward desired actions.

1. Understand Each Individual

Clinical, demographic, financial, SDOH, historical engagement, and other data help us build a holistic view of healthcare consumers to determine specificity for each intervention.

2. Personalize Communications

Agentic AI selects the exact right mix of behavioral interventions for each person and context (n=1 precision) and builds a custom nudge sequence for each individual.

3. Orchestrate Outreach

Once the optimal content is selected, Lirio’s Precision Nudging® optimizes the choice of channels and timing for a personalized nudge sequence.

4. Optimize Performance

Progressively smarter personalization that learns from individual n=1, and population-level encounters enable Lirio to support optimized clinical and financial outcomes—with industry-leading ROI.

Implemented via Behavioral Reinforcement Learning

Most AI models fall short because they can’t capture the complexity of human behavior. But Lirio’s Behavioral Reinforcement Learning (BRL) agents can.

BRL autonomously explores thousands of potential solutions, rapidly identifying what works best for each person — at scale. With every interaction, the system learns, adapts, and optimizes interventions with a person’s motivations and barriers to move them toward the desired behaviors.

Measurable Results — at Scale

Lirio’s engine doesn’t just automate communication — it continuously learns, in order to optimize personalized engagement at scale. 

Lirio’s Personalization Engine continually refines its understanding of what drives outcomes:

  • At the population level, it identifies key behavioral patterns.
  • At the segment level, it optimizes strategies by group.
  • At the individual level, it personalizes interventions to maximize impact.

The result: actionable insights that connect engagement to measurable outcomes, driving scalable improvements in adherence, access, and overall health.

Discover Lirio

Health Systems

Create seamless patient experiences that improve engagement and outcomes.

Payers

Move your members to engage with their benefits and support healthier populations.

Pharmaceuticals & Life Sciences

Drive enrollment, therapy adherence, clinical trial engagement, and patient support at scale.