Google approval is complete.
Avery uses Google data for user-facing scheduling features under the Limited Use requirements: no ads, no market research, and no general-purpose model training.
Routine coordination can move quickly. Sensitive replies stay visible, and you can take over any time.
Avery is designed without outside humans reading your conversation to decide what it sends.
Draft Mode keeps replies visible while you learn how Avery behaves.
You can stop Avery when you want to handle the conversation directly.
Before Avery starts handling scheduling, you can see what it can access and what it is allowed to do.
The proof is concrete: Google approval, CASA security review, SOC 2, and product controls users can see.
Avery uses Google data for user-facing scheduling features under the Limited Use requirements: no ads, no market research, and no general-purpose model training.
Avery has completed the application security review for the Google-connected surfaces that matter most: OAuth scopes, token handling, webhook security, abuse controls, and data boundaries.
Avery has completed SOC 2 review for the operational controls behind the product, including access control, change management, logging, vendor review, and incident response.
Draft Mode, clear pause reasons, take-over controls, and no outside reviewer queue make trust part of the product experience.
Avery is designed without an external reviewer queue reading your scheduling conversations. When the next reply is ambiguous, sensitive, or could speak for you, the draft waits.
Trust comes from visible controls, not hidden human oversight.
Avery can handle low-risk coordination quickly. Sensitive or ambiguous replies stay in front of you.
Avery handles the repeatable work while keeping the exception boundary visible.
The app explains what Avery noticed, why a draft is held, and what it would do next.
Know what Avery can access, what it can send, what waits for you, and how you can take over before you connect anything.