Suki AI vs Keragon

Physicians spend 2+ hours per day on documentation after patient encounters — that's the problem Suki solves. Office managers spend 3+ hours per day on prior authorizations, referrals, and data entry across disconnected systems — that's Keragon's target. Both reclaim hours, but from different roles in the practice.

Suki's AI uses medical NLP trained on millions of clinical encounters to convert physician speech into structured clinical notes in real-time. It understands medical terminology, drug names, and clinical context. Keragon's AI is workflow intelligence — it learns your admin patterns, suggests automation opportunities, and handles conditional logic for complex processes like prior auth decision trees.

Suki: If a physician saves 1.5 hours/day on documentation, at a loaded cost of $200/hour, that's $6,000/month in recovered physician time — or 4+ additional patients per day. Keragon: Automating prior authorizations alone saves 15-20 hours/week of staff time. At $25/hour, that's $1,500-$2,000/month, plus faster approvals mean faster revenue.