Implementation guide
How an AI Mailroom should handle medical practice email
Start with authorized inbox scope, separate message retrieval from AI processing, require human review, and never treat a draft as a sent or completed action.
Resources
Practical guidance for responsible medical practice AI.
Use these frameworks to evaluate workflow fit, governance, and implementation readiness before automating sensitive practice operations.
Implementation guide
Evaluating healthcare AI beyond a feature checklist
Review access boundaries, data retention, model and subprocessor terms, audit evidence, failure behavior, and the exact point where a human remains accountable.
Implementation guide
Designing closed-loop practice operations
Define every state from request through verified completion, including unmatched data, failed transmissions, overdue work, and reconciliation.
Frequently asked questions
Before you evaluate a pilot
What is an AI medical practice operating system?
It is an operational layer that helps coordinate inboxes, tasks, documentation, referrals, billing work, and owner visibility while keeping permissions, evidence, and human decisions explicit.
Can MyAIPOS read practice email?
The current private deployment supports four narrowly scoped Microsoft 365 shared mailboxes, synchronized message rows, protected full-message reading, and supervised AI draft workflows. Expansion requires reviewed mailbox onboarding and scope changes.
Can MyAIPOS send email?
Outbound sending is not active. The current design keeps reading and draft preparation separate from any future send capability, which would need explicit permissions, confirmation, audit, recipient safeguards, and separate activation.
Does MyAIPOS replace an EHR or clinical judgment?
No. It is designed to coordinate practice operations and supervised workflows. Authorized clinicians and staff remain responsible for the authoritative record and decisions within their scope.
Is MyAIPOS HIPAA compliant?
MyAIPOS uses HIPAA-aligned design controls, but compliance is not a product badge alone. It depends on contracts, configuration, policies, training, and the complete deployment environment.
Is there public pricing?
Not yet. Current pilot scope is evaluated individually, and no public subscription tiers or prices are published.
The most useful evaluation question is not “Can the AI do this?” It is “What evidence, permission, review, and failure path makes this safe to operate every day?”
Pilot discussion
See how the pieces work together
Public subscription pricing is not yet published. A pilot discussion can evaluate workflow fit, security boundaries, and implementation scope without collecting patient information.