Every workflow we build follows a strict approval-first, least-privilege architecture. Here is exactly how we handle security, data access, and AI governance.
No agent writes to production systems, sends external communications, or modifies live data without explicit human approval. Every sensitive action goes through a staging-review-approve cycle.
Each workflow agent gets the minimum permissions required to do its job. Read-only by default. Write access is scoped to specific resources and revocable at any time.
All new workflows run in a sandboxed environment first. Changes are tested in staging with sample data before any production deployment. Filesystem and network access is isolated.
Every agent action is logged — what was read, what was generated, what was approved, by whom, and when. Audit logs are retained and exportable for compliance purposes.
Our delivery architecture has four control layers, from outermost (most restricted) to innermost.
The EU AI Act (Article 4) requires organizations to ensure AI literacy for people working with AI systems. Our engagements include governance elements by default.
We explicitly avoid HR decision-making, credit/insurance scoring, healthcare diagnosis, safety-critical systems, or any use case classified as high-risk under the EU AI Act. Our focus is low-risk operational automation: document processing, reporting, content generation, and internal tooling — where the human stays in the loop and final decisions are made by people.
Every pilot and retainer engagement follows this security checklist.
We are happy to walk through our architecture and governance approach in a discovery call.
Book a discovery call →