Health systems spent $995M on AI in 2025. Only 30% of those tools ever reached production. The rest sit in IT backlogs — integrated with nothing, talking to no one, solving one task while creating three new problems.

Inside this whitepaper:

• The average large hospital runs 10+ disconnected AI tools — each with its own EHR integration, BAA, security audit, and data pipeline adding 3–6 months of overhead per tool

• Sully's AI Scribe, AI Consultant, AI Triage Nurse, AI Receptionist, AI Coder, AI Pharmacist, AI Nurse, and AI Interpreter operate on a shared patient context layer — when the Scribe hears something, the Pharmacist knows it; when the Consultant flags a risk, the Receptionist schedules accordingly

• 5–10 minutes saved per patient encounter when one unified workflow replaces 5 separate tool switches — zero context lost between steps

• 60% fewer claim denials, $3M in previously denied claims recovered, and 24% fewer coding errors — driven by AI Coder working in sync with the rest of the care team

• For a 1,000-provider system: 2,000 provider-hours recovered daily, equivalent to 250+ FTEs — with no new hires required

If you're a CMO, COO, or CIO still evaluating point solutions in 2026, this is the whitepaper that explains why you're already two years behind.