The use case: how SimplePractice deploys Decagon
SimplePractice uses Decagon chat and email agents to answer questions from mental health and wellness practitioners conversationally, including multilingual conversations, and to hand off complex cases to human staff. The team also uses Decagon Duet to query ticket data and decide whether new Agent Operating Procedures are worth building.
More reported results
Figures published in Decagon’s case study. They are not independently measured by usedby.
Within one month of going live, SimplePractice exceeded its end-of-year deflection target of 66%, reaching 85%.
In the customer’s words
We have VPs going directly into Duet themselves to pressure-test their ideas - asking whether a proposed solution is actually going to move the line. We've never had that kind of insight before.Decagon users in HealthTech & Digital Health
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Based on Decagon’s published case study. We check the public evidence; the results are reported by the vendor.
decagon.ai- Source published
- Sep 11, 2026
- Last checked
- Oct 7, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The figure: 85%Checked
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- The passage quoted aboveChecked
Copied word for word from the page, near the name of SimplePractice.
- The publication dateChecked
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- SimplePractice uses DecagonChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
Within one month of going live, SimplePractice exceeded its end-of-year deflection target of 66%, reaching 85%.