
Omnichannel conversational AI at a large healthcare provider — one bot across voice, web, SMS and app
A large healthcare provider was maintaining four separate bot stacks across voice, web, SMS and the MyChart app — with drifting answers and duplicated compliance reviews. pronix.ai consolidated to a single omnichannel conversational AI on Kore.ai with 44% containment and one review cycle.
Large integrated healthcare provider, 6M patients · Kore.ai Agent Platform · Amazon Connect · Twilio · MyChart
- Client
- Large integrated healthcare provider, 6M patients
- Industry
- Healthcare Providers
- Platform
- Kore.ai Agent Platform · Amazon Connect · Twilio · MyChart
*Representative outcome; results vary by client, scope and platform configuration.
The challenge
Four bot stacks meant four teams, four compliance reviews and four sets of answers that could diverge on the same policy question. Patients got different answers on chat vs voice — CDO wanted one truth, four channels.
Our approach
Single authoring surface
One Kore.ai Agent Platform project, one intent taxonomy, one knowledge grounding — deployed via channel adapters to voice, web, SMS and MyChart.
Channel-native UX, shared brain
Voice used SSML and barge-in; SMS collapsed to short structured turns; MyChart used rich cards. Same reasoning under the hood.
One compliance review
Combined the four separate review cycles into one — legal and compliance signed off on the intent, not the channel.
Escalation continuity
Cross-channel context handoff — patient starts on SMS, escalates to voice, agent sees the full transcript with no repetition.
Take this case study into your next steering committee.
One page: the business problem, the solution, the technical architecture and the measured outcomes — sized to drop straight into a board pack. Share your work email to unlock it; one form unlocks every gated download on this site.
Board-ready briefs covering the platform and industry behind this program. Free with a work email.
38% call containment in 90 days for a regional healthcare provider — healthcare-safe conversational AI
Read →Agent assist across 900 seats at a healthcare provider — 22% AHT reduction with healthcare guardrails
Read →41% self-service containment for a national retailer — order status and returns on conversational AI
Read →Illustrative case study. Scenarios, metrics, quotes and client details are representative composites based on Pronix engagements and industry benchmarks unless a named client is shown with written consent. Outcomes vary by client, scope, data quality and platform configuration. Nothing on this page is a guarantee, warranty or professional advice. See our Terms of Use for the full disclaimer.
AWS, Salesforce, Microsoft, NICE, Genesys, Kore.ai, Google, ServiceNow, Amazon Connect and logos referenced on this site are trademarks of their respective owners. References are for descriptive purposes only and do not imply endorsement, sponsorship or partnership beyond stated partner relationships. See our Disclosures.
Talk to the team that shipped it.
Book a working session with a pronix.ai lead on this practice — we'll map the approach to your platform, industry and constraints.
Want a similar programme in your environment?
Four fields. Tell us the outcome and timeline, and the lead for this industry replies with indicative scope, team shape and commercial options.
industryHealthcare Providers — routed to this team