Suki, the AI ambient listening platform for clinical settings, is launching Suki Dictation, a standalone AI clinical documentation tool that works alongside its existing ambient documentation technology. The new product gives clinicians a voice-driven dictation option for encounters where ambient listening isn't appropriate, and it integrates with Epic and MEDITECH electronic health record systems.
The company's ambient AI tool already listens to patient-provider conversations, generates clinical documentation, recommends billing codes, and creates notes that clinicians can review before adding to the EHR. Its AI assistant also handles workflow tasks by voice, including retrieving patient information and drafting referrals.
Suki is positioning the dictation product as an alternative for health systems that don't want to buy dictation as part of a larger enterprise documentation bundle. The company said Suki Dictation can replace legacy solutions or be paired with its ambient documentation, without being "locked into rigid vendor libraries or bundled offerings."
Why Suki is splitting the products
Legacy dictation tools haven't kept pace with modern healthcare technology, said Abhi Pathak, chief product officer at Suki. Historically, separate contracting for ambient and dictation software forced health systems to accept overpriced licensing and redundant bundles, he told MobiHealthNews.
"Suki Dictation was specifically created to solve these issues by providing clinicians and dictation workflows with much-needed AI modernization, flexibility and adaptability," Pathak said. "To cover all key clinical workflows, Suki Doc and Suki Ambient Documentation can be deployed independently or seamlessly combined."
Suki plans to expand the technology beyond transcription, with potential offerings including conversational voice editing, AI note generation, voice commands, and interactive clinical assistance. The company's broader roadmap in 2025 included expanding its ambient platform to automate CPT and E/M code generation, building on its existing ability to recommend ICD-10 and HCC codes. It also introduced an AI prescription order staging feature that structures and codes spoken orders during ambient encounters.
Market position and funding
The company raised $70 million in Series D funding in 2024, bringing its total to $165 million. Suki said the funding would help expand partnerships with EHR companies and accelerate platform development. The company also expanded its integration with MEDITECH and hired its first chief medical officer earlier this year.
For clinicians, the practical takeaway is straightforward: you now have a choice between ambient documentation, traditional dictation, or both, without paying for a vendor bundle that includes tools you won't use. That flexibility matters for AI for Healthcare teams evaluating documentation tools, and for Speech-To-Text workflows specifically, the product signals that dictation is getting the same AI upgrade as ambient listening - not being phased out in favor of it.
Your membership also unlocks:
