AI scoring
Every interaction is scored against consistent criteria, updated after each conversation at both the agent and team level.
Infinitus Lens
Lens reviews every patient, provider, or payor interaction, makes sense of what it finds, and gets the right information to the right people – before a trend becomes a problem.

Healthcare runs on conversations. Every one of those interactions carries information your team needs – patient sentiment, adherence signals, compliance moments, provider behavior. But most organizations can’t access it, and therefore can’t act on it.
Lens delivers conversation insights for every patient, provider, and payor interaction across your program. It evaluates every conversation, structures what it finds, and delivers the right information to the right people.
Full visibility
of every moment
detection of potential adverse events
Same day
conversation analysis and scoring

Lens evaluates every interaction automatically, across any channel – voice, chat, SMS, email, fax – regardless of whether a human or AI agent conducted the conversation.
The result is a continuously growing, structured dataset of patient, provider, and payor interactions – one that gets more valuable with every conversation added to it.

Lens monitors human staff and AI agents to provide conversation insights across all interactions. The same scoring dimensions, the same compliance framework, the same detection capabilities – applied with the same rigor regardless of who handled the interaction. As your AI footprint grows, your coverage grows with it.
No re-implementation. No second vendor. No gaps.
Your team receives summaries of patient signals shaping their caseloads – adherence barriers, sentiment trends, follow-up flags – ready at the start of each day. They can then focus on what matters most.
Your compliance team sees deviations as they accumulate. Quality and operations leads get signals routed to them the same day they surface.
Patterns invisible in any single call emerge when aggregated across thousands: prior authorization trends, population-level adherence signals, coverage decision patterns, and more.

Insights arrive with recommended next steps in days, not next quarter’s report. Your team spends their time acting, not analyzing.