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Epic’s Ambient Speech Announcement 2025
How Epic’s Move into Ambient Speech May Shape Customer Strategies
Author
Coray Tate
Author
Tyson Blauer
Excitement around AI—specifically ambient speech, one of healthcare’s most rapidly adopted AI use cases—has surged in recent years as organizations look for ways to improve operations and reduce clinician burden. In response, vendors have rapidly entered the market to meet this demand. Initially, Epic approached ambient speech by providing integrations developed in collaboration with vendors such as Microsoft and Abridge. At their annual UGM in August 2025, Epic shifted their approach with the announcement of their own native clinician-facing ambient speech tool, developed with Microsoft. This move has the potential to reshape an already crowded and quickly evolving market, prompting leaders to reassess their road maps and vendor strategies. To understand how organizations are responding, KLAS interviewed 35 Epic customers who attended UGM, exploring initial reactions to the announcement and the factors driving or hindering adoption plans.
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Key Findings:
- Most Customers Welcome Epic’s Entry into Ambient Speech; All Eyes on Speed to Maturity
- Near-Term Adoption Plans Driven by Vendor Loyalty & Consolidation Benefits; Existing Contracts & Functionality Concerns May Slow Adoption
- Long-Term Outlook Favors Epic Exclusivity, Though Specialty Needs May Sustain Use of Other Vendors’ Tools
Writer
Carlisa Cramer
Designer
Jess Wallace-Simpson
Project Manager
Andrew Wright
This material is copyrighted. Any organization gaining unauthorized access to this report will be liable to compensate KLAS for the full retail price. Please see the KLAS DATA USE POLICY for information regarding use of this report. © 2025 KLAS Research, LLC. All Rights Reserved. NOTE: Performance scores may change significantly when including newly interviewed provider organizations, especially when added to a smaller sample size like in emerging markets with a small number of live clients. The findings presented are not meant to be conclusive data for an entire client base.