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How should a practice evaluate an AI receptionist before choosing a vendor?
By Kotresh Aradyamath, Registered Nurse and Founder of MayaAI ยท Published 12 October 2026
SHORT ANSWER
Test the assistant on your own real call types, confirm it integrates with your practice management system, review how it transfers calls and handles urgent situations, check data storage and privacy terms, and make sure pricing and contract terms are clear before signing.
Evaluation checklist
Integration: does it book directly in your system (for example Cliniko, Halaxy or Best Practice), or only take messages?
Configuration: can it follow your clinic's specific policies and wording?
Transfers: how are calls handed to staff, during and after hours?
Privacy: where is data stored, and is it used for AI training?
Pricing: are setup, cancellation and overage fees disclosed?
Trial: can you test with real calls before committing?
Support: who helps with onboarding and ongoing changes?
Run a phased trial
Start with a limited set of call types or hours, review results with your team, then expand. This keeps reception staff in control while you learn what the assistant handles well.
Limitations
This checklist is general guidance written by MayaAI, a vendor in this market; verify each vendor's claims directly with them.
Frequently asked questions
Which practice systems does MayaAI integrate with?
Cliniko, Halaxy and Best Practice integrations are live. Supported workflows are confirmed during onboarding. Magentus and Zedmed integrations are in progress.
More guides
How much does an AI medical receptionist cost in Australia?
Can an AI receptionist handle after-hours calls for a medical practice?
How does an AI receptionist transfer calls to clinic staff?
What privacy and security considerations apply to AI receptionists in Australian healthcare?