AI automation without exposing client data
Conseil.dev designs AI workflows for regulated, privacy-conscious teams that need control over data access, residency, review, auditability, and deployment choices.
Confidentiality is part of the workflow
We define what data the system can access, who can see outputs, what needs human approval, and how activity should be logged before a pilot goes live.
Security notes for production AI
Every AI workflow should make data exposure, access, and review decisions explicit.
No training on client data
Model and vendor choices are reviewed against the client's data handling requirements.
Private and open-source options
Workflows can run on private, on-premises, or open-source infrastructure to limit vendor lock-in and keep sensitive data in your control.
Canadian data residency
Where it matters, data and workloads stay under Canadian jurisdiction instead of foreign-controlled platforms.
Role-based access
Users only see the documents, answers, and actions their role should permit.
Audit trails
Important actions can be logged so teams understand what happened and when.
Source citations
Private knowledge workflows should show where answers came from, not just produce text.
Human approval workflows
Sensitive steps are prepared by AI and approved by a person before they leave the system.
NDA-first approach
Confidential projects start with clear handling expectations before discovery begins.
Built for legal, accounting, finance, healthcare operations, and private knowledge workflows
The goal is not a generic chatbot. The goal is a controlled system that helps staff move faster while preserving review, access boundaries, and evidence.