Combine Dialpad AI insights with MedFrontDesk.ai’s medical-specific routing for instant pickups.
You do not need to replace Dialpad to fix how calls get answered. The AI layer sits in front of your existing setup, so extensions, recordings, and reporting keep working the way your team expects.
Setting up with Dialpad
Deployment is a routing change rather than a phone-system migration. The steps below are the whole job.
Leverage call forwarding or webhook triggers to Katie
Katie triages medical intents and optionally pushes transcripts back into Dialpad
Dialpad agents see reason-for-call before answering
Compatibility notes
What carries over from your current Dialpad configuration, and what to check before you start.
Supports HIPAA-enabled Dialpad setups
What stays exactly as it is
Practices worry that adding an AI layer means rebuilding telephony. It does not. Dialpad keeps doing what it does.
Your existing numbers and extensions
Call recording and analytics you already rely on
Hunt groups and internal transfer paths
Your current contracts and hardware
What to measure after go-live
Agree the numbers before you switch anything on, so the effect of the Dialpad layer is visible rather than anecdotal.
Answer speed and abandoned-call rate
Share of calls resolved without staff involvement
Staff hours returned to in-person work
Booking and no-show rate movement
Rollout checklist
Confirm your Dialpad plan and admin access.
Decide which numbers or queues to route first.
Mirror your current auto-attendant options.
Define where calls return to after handling.
Test end to end before cutting the main line over.
Frequently asked questions
Do we have to leave Dialpad?
No. This layers on top of Dialpad; your numbers, extensions, and contracts stay where they are.
Can we start with one queue?
Yes, and most practices should. Route one line or queue first, confirm behavior, then expand.
What happens to call recordings?
Existing recording and analytics continue to work. Handled calls are also logged with structured outcomes.
Keep going on MedReception.ai
MedFrontDesk.ai is the playbook library. MedReception.ai is the platform that runs it.