Kry embeds AI into telehealth operations
Johannes Schildt & Claes Ruth, CEO and CFO of Kry, on the AI future of telehealth
This signals that Kry sees AI less as a software add on and more as a way to lower the labor cost of each visit inside a regulated care delivery machine it already controls. The practical use case is not a generic chatbot. It is voice capture during calls, better diagnosis coding, pre visit intake, and draft treatment suggestions that a clinician reviews inside Kry’s own workflow, with reimbursement contracts and patient access already in place.
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Kry has the ingredients smaller AI startups usually lack, public payer contracts, clinician supply, and patient volume across markets. In the interview, management frames those assets as the real bottleneck, not model access, because the model is only useful once connected to live consultations and reimbursement flows.
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The first economic win is administrative. Kry specifically points to Whisper based call listening and better secondary diagnosis coding, which can raise payment accuracy. That fits a business where video consults are reimbursed by national payers and where half of revenue already came from capitated or subscription like models.
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A useful comparison is AI scribes like Freed. They start with note taking and expand into coding and payments, but sell mainly to individual clinicians. Kry can push similar automation directly into its own care delivery stack, then capture the savings and throughput gains at the provider level instead of selling seats one doctor at a time.
The next step is a telehealth model where the doctor spends less time gathering facts and more time approving or adjusting an AI prepared case. As that loop improves, Kry can resolve more demand digitally, steer higher value cases into clinics and partnerships, and make subscription style payer contracts even more attractive across Europe.