Trust Center
Straight answers for buyers, founders, and security-conscious teams.
This Trust Center summarizes how Support AI handles customer data, model providers, security controls, and operational boundaries. It is written to reflect the product as it exists today.
What Support AI does today
- Supports email verification, authenticated dashboard access, role-based permissions, audit logs, and organization-scoped data access.
- Lets teams configure knowledge sources, API keys, integrations, webhook endpoints, and data export or bulk conversation deletion from the dashboard.
- Uses AI providers to generate responses and workflow assistance. Sensitive actions are described publicly as human-approved unless they are clearly automated in-product.
Privacy
What customer and workspace data we collect, how we use it, and what we share with core infrastructure providers.
Read more →Security
How Support AI approaches transport security, access controls, audit logging, human approval flows, and operational safeguards.
Read more →Subprocessors
The core service providers used to run authentication, email, billing, and AI workflows.
Read more →Data retention
What data is retained today, what can be exported or deleted now, and where additional automation is still planned.
Read more →Model and infrastructure disclosure
- Support AI currently integrates with Anthropic and OpenAI for model and embedding workflows, depending on the feature being used.
- Core application infrastructure uses Supabase for authentication and database services, Resend for outbound email, and Paddle for billing workflows.
- These providers are part of the normal operation of the product and are listed in more detail on the Subprocessors page.