AI Execution Layer & Platform Powering Wellness

An AI execution layer sits between the systems a wellness organization already runs and the actions those systems should trigger. It turns behavioral, engagement, and operational data into a specific next best action, delivered inside existing workflows. Vi is the AI execution layer for healthcare, life sciences, and wellness.

Engagement platforms deliver messages. Vi decides which message, to whom, and when, then measures whether it worked. Most tools execute a campaign someone else designed and report on it afterward. Vi predicts the action, triggers it inside existing systems, and feeds the outcome back to improve the next prediction.

No. Vi connects to the systems already in place. Productized AI models deploy into existing infrastructure without a rip and replace or IT burden, and Vi stays model agnostic so organizations can use third party models where those perform best. There is no lock in and no migration required to start.

A next best action is the most valuable step for a specific member at a given moment: an offer before a renewal lapses, a nudge before a routine breaks, a capacity-aware recommendation when a class has room. Vi predicts it from activity, engagement history, and channel preference, then triggers it inside existing workflows.

The Vi Data Web combines de-identified enterprise data with licensed real-world signals covering 96% of U.S. households. Member activity, program participation, and facility visits sit alongside local market demand, purchase patterns, and media engagement, giving multi-site operators a view of member intent that a booking system or CRM cannot produce alone.

Vi detects behavioral change before it becomes a cancellation. Declining activity, incomplete actions, reduced facility visits, and shifts in routine are early indicators. The platform predicts likelihood to act, then the orchestration layer triggers the response inside existing workflows. Detection and action are one continuous loop, not separate steps handled by separate tools.

Vi runs one prioritization model across the full member lifecycle rather than separate campaigns for acquisition and retention. The orchestration layer weighs likelihood to act, expected return, channel effectiveness, and timing, then coordinates the action across whichever workflow it belongs in. Vi does the analysis and timing. Your team decides what goes out.

Vi’s agentic layer executes inside the systems already running. Agents surface capacity imbalances, optimize shift planning, automate routine CRM updates, and route new member intake, each with defined trigger logic, governance rules, and escalation paths. Anything requiring judgment goes to a person. Every action is traceable and measured.

Vi Operate builds a real-time view of the organization from operational data. It surfaces class and capacity imbalances, staffing and shift planning gaps, intake delays, service cost drivers, and fulfillment friction. Detected issues feed agents that automate routine updates, optimize scheduling, and escalate decisions requiring human review.