Private AI,
built to stay private.
I help enterprises adopt AI without handing their data to it — designing private AI systems and the secure, governed Microsoft foundations that make AI safe to switch on. 15+ years in cloud and security architecture.
However you got here, there's a fast route.
You're filling a cloud or AI role
See the architecture, migrations, and security work — with real outcomes, not just claims.
You're exploring AI for your org
Private AI systems and the governance groundwork that makes Copilot and agents safe to adopt.
You want to see how I think
Breakdowns of real breaches and a practical playbook for private, in-perimeter AI.
AI that moves fast, on foundations that hold.
Most AI sold to businesses works like a demo — fine on a Tuesday, broken by Friday. I bring enterprise architecture discipline to it, so the AI is fast and the data stays locked down.
Private AI Systems
Self-hosted, in-perimeter AI assistants and workflows — the power of ChatGPT-style tools without your data ever leaving your walls.
- Self-hosted LLM stacks (Ollama, private models)
- Retrieval-augmented generation on your own data
- AI plugged into identity, DLP & Zero-Trust controls
AI-Readiness & Governance
The unglamorous work that has to happen before Copilot is safe: fixing who can see what, labeling sensitive data, and closing the oversharing gaps AI would expose.
- Copilot-readiness assessments & remediation
- Microsoft Purview — sensitivity labels & DLP
- Permissions & oversharing cleanup at scale
Cloud & Security Architecture
The secure foundation underneath it all — identity, cloud, and continuity designed so the whole thing stays reliable and defensible.
- Entra ID, Conditional Access & Zero-Trust design
- Azure & M365 architecture, migrations & cost control
- DR, SIEM/MDR & incident readiness
Real problems, owned end to end.
A few engagements, anonymized. The pattern is the same each time: walk into a mess, find the real cause, and leave something secure and repeatable behind.
Sixteen tenants, one governed environment
The system nobody else could fix
AI-ready before switching Copilot on
From airport networks to the AI era.
A 360° path from ground-level operations to architecture and advisory — the same secure-by-design instinct at every stage.
- Architecting private AI workflows and self-hosted LLM stacks for enterprise clients, plugged into identity, DLP, and Zero-Trust controls.
- Securing Microsoft 365 and Azure environments across a ~50-client portfolio — Entra, Conditional Access, Intune, Purview, and SOC tooling.
- Delivered Terraform-driven deployments, multi-tenant migrations, and DevSecOps modernization for enterprise and provincial organizations.
- Implemented Sentinel, Defender, MFA/Conditional Access, and DLP across hybrid environments.
- Supported mission-critical infrastructure for 20,000+ users across North America and Asia-Pacific.
- Delivered airport network redesigns, SIEM, backup, and identity initiatives at enterprise scale.
- Supported government finance projects and state data centres.
- Built disciplined incident, change, and asset-management habits that still anchor how I work.
The stack I build on.
Breakdowns & briefings.
Real incidents, taken apart for what they teach — plus a practical playbook for keeping AI inside your perimeter.
The AI-Readiness Checklist
What actually has to be true before you turn Copilot on — the governance work most companies skip, and pay for later.
Read the checklist → StrategyPrivate AI, Explained
How to run ChatGPT-style assistants inside your own walls — the power of AI without handing your data to anyone.
Read briefing → AnalysisCopilot Sees What Your Staff Can
The oversharing problem: why AI turns years of sloppy permissions into an instant data-leak risk.
Read analysis →Education & certifications.
Education
Certifications
- ITIL® Foundation
- Cisco CCNP Routing & Switching
- Cisco CCNA & CCNA Security
- Microsoft SC-900 — Security, Compliance & Identity
- Certified Associate in Python Programming
Secure-by-design, since 2011.
I'm Jaymit — a Calgary-based cloud and AI architect. For 15+ years I've secured Microsoft and cloud environments for organizations from government to global enterprise, and today I help teams adopt AI without giving up control of their data. I care about one thing above all: that the fast, useful stuff we build never becomes the thing that gets a client breached.
Let's make your AI move fast — and stay secure.
Hiring for a cloud or AI role, or exploring private AI for your business? I'd like to hear what you're working on.