Security and responsible use
AI implementation requires more than making something work. We consider security, privacy, access, human oversight, and responsible use throughout the deployment process. This page says what that means in practice.
You own your data. We do not.
When an engagement ends, we remove our access.
Model-flexible architecture by design
AI changes quickly. Your organization shouldn’t have to rebuild its operations every time a new model becomes better suited to the job.
We design agent-native systems, so the underlying AI model can be changed based on capability, security, cost, performance, and organizational requirements. Your organization is not unnecessarily locked into one LLM or vendor.
Get Sarah runs on an enterprise platform whose security is independently audited — and every system we build inherits that foundation.
SOC 2 Type II accredited for Security, Confidentiality, and Availability — audited controls, proven effective over time
Data encrypted in transit with TLS 1.2/1.3 and at rest with AES-256
Hosted on leading cloud infrastructure in the United States, with redundancy across multiple availability zones
Regular database backups with point-in-time recovery
We will tell you when AI is not the right answer. Some processes should stay human. Part of the Design step is deciding, with you, what AI should never touch.
If your IT team, board, or compliance officer has a security questionnaire, send it. We would rather answer it before the build than after.