“Good enough” AI has reduced some documentation burden, but it hasn’t fixed the biggest problems facing health systems: documentation fidelity, revenue leakage, denial exposure, and long-term operating margin. Meanwhile, payers are compounding advantage with AI-driven adjudication and denial strategies, widening the gap every year health systems wait to act.

Is your health system relying on “good enough?”

In this candid customer panel, executives from leading health systems share why they moved beyond “good enough” ambient tools to an intelligence platform, and how that shift unlocked a true AI operating-margin flywheel. They will walk through the data, outcomes, and internal change required to reassess their AI strategy after already deploying an incumbent solution—and why delaying the switch would have cost more.

Key discussion items include:

• The many ways vendors measure “utilization” and which ones actually matter for sustained ROI and clinician adoption.
• How chart-aware documentation improves coding accuracy and drives measurable revenue uplift 
• What it took politically to replace an incumbent solution, align stakeholders around measured value, and make the case that waiting was the riskiest choice of all.