Enterprise AI, automation, and governance — done safely
Design and deploy AI systems with the security controls, architecture patterns, and governance your organization requires.
Architecture choices that respect your data boundaries, compliance posture, and risk model.
Guardrails, approvals, audit trails, and monitoring — so teams can move fast without losing control.
Microsoft 365, Google Workspace, CRMs, ERPs, data warehouses, internal APIs, and custom workflows.
Reference architecture that fits your environment
- Cloud (AWS/Azure/GCP) or hybrid.
- Network controls, private endpoints, and IP allowlists where needed.
- Latency-aware routing and regional data residency support.
- RAG patterns for internal docs, wikis, tickets, and databases.
- Access control mapped to your identity provider.
- Evaluation harnesses for quality, drift, and regressions.
Security, privacy, and compliance
SSO/SAML, role-based access, least privilege, and separation of duties.
Data classification, retention, redaction, and safe prompt patterns.
Logs, approvals, versioning, and evidence packages for internal and external audits.
Controls that scale across teams
Clear rules for what AI can and can’t do, with enforcement in workflows (not just documents).
Rollout plans, training, champions, and measurable adoption goals for business units.

