Trust AI Launches Isaac PracticeOS: A Practice Management System That Thinks
Most practices run on a patchwork of tools that don't speak the same language. Operations leaders end up managing software silos, not the business. Trust AI's new Isaac PracticeOS takes a different approach: one AI-native system that prepares claims, plans treatments, fills the schedule, and answers questions like a well-trained operator.
The platform debuts at the 2026 Chicago Dental Society Midwinter Meeting with plans starting at $299/month. It's built to replace the 8-10 tools many practices have outgrown.
Why this matters for management
Data is only useful when it moves. Isaac connects clinical, operational, and financial data into one picture-then acts on it.
- Claim prep happens when the treatment plan is created, with correct codes, verified coverage, and a clinical narrative written to get approved.
- When a patient cancels, Isaac finds the best-fit replacement from the waitlist and handles outreach before the chair goes empty.
- Leaders can ask questions in plain English-"Are we on pace for the month?"-and get an answer in seconds.
- After hours, the AI receptionist responds based on appointment history, balance, and insurance status.
What it replaces
Most practices carry a stack that costs $1,500-$2,000 per month. Isaac consolidates the stack into a single platform so nothing falls through the cracks.
- Billing and insurance verification
- Clinical charting and imaging
- Treatment planning
- Scheduling and patient communications
- E-prescribing
- Practice analytics
Thirteen integrated modules share the same data, the same AI, and the same patient record.
Clinical intelligence at the core
Isaac PracticeOS runs on Isaac OneHealth, a healthcare AI engine that is one of only two AIs reported to score a perfect 100% on the USMLE medical boards. That clinical depth informs treatment planning and produces insurance narratives built to get approved. For context on the USMLE, see the official program overview at usmle.org.
What leaders are saying
"Every dentist I talk to tells me the same thing: they spend their day managing software instead of managing care," said Dr. Bernard Casse, CEO and Co-Founder of Trust AI. "They're paying for eight, nine, ten different tools, and none of them talk to each other. We built Isaac to be the one system that handles all of it, so the dentist can go back to being a dentist."
"As clinicians, we know what we need: a system that thinks the way we think," said Dr. Divian Patel, Chief Clinical Officer and Co-Founder. "Isaac understands treatment sequences, insurance nuances, and patient history at a level that no traditional PMS has attempted."
"AI is separating practices into two categories: those operating on memory and those operating on intelligence," said Dr. Shervin Molayem, Chief Innovation Officer and Co-Founder. "We frequently see dentists catch coverage gaps and surface clinical considerations that would otherwise be missed."
Management checklist: How to evaluate Isaac PracticeOS
- Claims and collections: Track approval rate, days in A/R, and write-offs pre/post implementation.
- Schedule utilization: Measure same-day backfill rate and no-show recovery time.
- Production visibility: Validate real-time answers for daily/weekly/monthly targets.
- Workflow fit: Map current processes (front desk, billing, clinical) and test Isaac's automations end-to-end.
- Data and security: Confirm audit trails, role-based access, and data portability.
- Training and changeover: Set a phased rollout with clear owners, SOP updates, and success metrics.
Pricing and access
Plans start at $299 per month. More than 8,000 dentists have already joined the Trust AI platform, with growth largely through word of mouth. The company raised $6.5 million in seed funding, primarily from dentists who use the product.
Live demos are available this week at CDS 2026 in Chicago (Booth 5023 - West Building, Hall F). Learn more at trustdentistry.ai.
For operators leveling up their AI strategy
- Explore strategic frameworks for leaders implementing AI across operations: AI for Management
- Strengthen billing and revenue cycle workflows with AI fundamentals: AI Learning Path for Medical Billers
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