Security
Security-conscious by design.
AI systems touch your most important data and workflows. We build them with the same controls you expect from any production business system.
What this page is — and isn't
Practices
Controls built into every implementation
Tenant isolation
Multi-tenant data is separated at the database layer with row-level security policies, and every query is scoped to the organization. Application checks mirror the same rules.
Least-privilege integrations
Connectors use scoped, read-only credentials wherever possible. Write access is requested only for actions that require it and only after approval.
Human approval gates
Client communications, publications, budget changes, and other consequential actions require explicit approval by an authorized role.
Audit logging
Workflow steps, generated outputs, edits, approvals, and settings changes are recorded with actor and timestamp.
Data minimization
We design workflows to avoid sensitive data they do not need. Marketing operations, for example, run on aggregate campaign data without patient information.
Controlled model use
Models receive only the facts required for a task. Outputs are validated (for example, numbers are checked against source data) before they are saved.
AI-specific controls
Keeping model output accountable
- Deterministic calculations are kept separate from model-generated text, and each output is labeled.
- If a model output fails validation, a deterministic fallback is used and the issue is recorded.
- Model provider and data retention settings are chosen with your requirements during the Architect phase.
- Prompts and outputs can be logged for review according to your retention policy.
In the demonstration
How the demo handles data
- All companies, people, and metrics are synthetic and generated from a fixed seed. No real patient information exists in the demo.
- Role-based visibility is enforced: account managers see only their own accounts, as row-level security would in production.
- Integrations, email, and ad-platform changes are simulated and clearly labeled; nothing is sent to external systems.
Start with one workflow.
Tell us where your team loses the most time. We will map it, estimate the impact honestly, and propose a scoped first implementation.