Decision Framework
Seven critical evaluation criteria for voice AI systems. Use this framework to compare vendors, avoid locked-in deals, and pick the right solution for your workflow.
Use the same 7 criteria to compare 3–5 vendors objectively. You avoid being swayed by demo theater and instead focus on fit, compliance, and true cost.
Transparent pricing, clear escalation clauses, and data portability protections mean you're not trapped in a bad deal. You can switch vendors without losing your configuration or call history.
By testing EMR sync, voice quality, and escalation rules in sandbox before contract, you know the system will work for your practice. No surprises on day 1.
Choosing AI that your team can actually use (good voice, sensible escalations, responsive vendor) means staff embrace it rather than resent it as a tool forced on them.
Sandbox testing before signing
Verify EMR sync, voice quality, and escalation rules with your own data and staff
Transparent pricing and support
Know total cost of ownership and response time to issues before you commit
Compliance and portability verified
Review BAA, SOC 2 certification, and contract exit clauses before deployment
Specialty-specific configuration confirmed
Ensure vendor can implement your escalation rules and intake workflow without custom code
Ask the vendor for 3–5 real call recordings from practices in your specialty (with HIPAA consent). Listen for natural pacing, recovery from 'um' and 'uh', response to interruptions, and tone. Also request a test call to your own phone where you play a difficult patient—ask for medication refills, complain about appointment times, etc.—and see if the AI handles it well.
Request the vendor's SOC 2 Type II report (covers security and availability). Review their Business Associate Agreement for data breach notification procedures, data retention, and subcontractor liability. Ask about encryption in transit and at rest, access controls, and incident response time. Don't accept verbal assurance; review the actual documentation.
The vendor provides a sandbox environment that mirrors your EMR (test credentials, dummy patient records, non-production calendar). Your staff make test appointments and verify they appear in the sandbox EMR correctly, confirming that appointment bookings and patient demographics (name, DOB, phone) are captured as expected. Then sign off on go-live.
Start with clinical escalation: chest pain, shortness of breath, severe bleeding for primary care; suicidal ideation or psychosis for behavioral health; pediatric fever over 104°F for pediatrics. Then add operational rules: repeat callers within 2 hours, insurance denials on known good coverage, callers requesting a specific provider who's booked. The vendor helps you refine these during implementation.
Ask each vendor for a sample monthly bill based on your practice's call volume (get your call count from your current phone system or carrier). Include all features you need: after-hours escalation, multilingual support, emergency routing. Calculate total cost per appointment scheduled by the AI. Compare apples to apples.
Negotiate a 30–60 day termination clause (not 12-month lock-in). Require data export rights (call transcripts, configuration backups) in a standard format (JSON, CSV). Ensure your AI configuration remains yours, not vendor property. Also ask who covers the cost if the vendor's EMR integration breaks due to an EHR API change.
Track call volume answered by AI vs. staff, appointment booking rate (% of callers who book), time to answer first call, escalation rate, and staff feedback on call quality and AI accuracy. Most vendors provide these dashboards. Set targets for month 1, 3, and 6 so you can evaluate ROI objectively.
Product
Meet Katie, the AI receptionist
See how MedReception's voice AI meets these evaluation criteria and understand how to test it with your practice.
Governance
HIPAA and compliance
Review healthcare compliance standards and what to look for in a vendor's security and privacy documentation.
Technical
All integrations
See the full list of EMR platforms supported and understand real-time data sync specifications for your evaluation.
See how MedReception AI handles after-hours calls, scheduling, intake, and patient communication for medical practices like yours.
