Outcom.AITrust is earned. Not assumed.
Our customers trust us with some of their most valuable data — the record of their most important relationships. Everything we build, from our AI architecture to our infrastructure, is designed to protect that trust. It isn't a feature bolted on at the end. It's the foundation we build on.
Enterprise controls, by default.
Nothing customer-facing sends itself. Agents draft and queue; a person approves every outward action.
Every finding and recommendation carries its provenance — a measured value or a cited quote you can audit.
Enterprise identity and role-based access control, so the right people see the right data — and nothing more.
Data is protected with TLS in transit and AES-256 at rest, end to end.
Every query, cache key, and message is tenant-scoped by design. Your data is never commingled with another customer's.
Region controls for where your data is stored and processed, to meet your compliance requirements.
Every step an agent takes and every approval a human gives is recorded — a complete, reviewable trail.
Internal access to production data is minimized, scoped, and monitored — need-to-know only.
AI you can audit — not one you have to trust blindly.
The two design decisions that make our AI safe to run on real revenue: a human approves anything outward-facing, and every claim is grounded in a real source.
Your data stays yours.
We process your data to provide the service — nothing more. We do not sell it, and we don't use it to train models shared across customers.
We use a small set of vetted infrastructure and AI subprocessors under data-processing agreements, available on request.
Continuous monitoring, encrypted backups, and a secure development lifecycle keep the platform resilient and observable.
Built to enterprise security standards, with a DPA and security review available on request. Reach out and we'll walk you through our current posture.
We welcome security reviews and responsible disclosure. Reach our team and we'll get back to you quickly.