AI you can put into production — governed, secured, and (when it must be) sovereign.

Kunzite builds AI on Azure and Microsoft 365, governs it with Microsoft’s own controls — Purview, DLP, Entra — and runs it inside your boundary when data can’t leave. Microsoft Partner. Security-first by default.

Microsoft PartnerAzure AI FoundryMicrosoft 365 CopilotSovereign / Private AI
The real blocker

Most AI pilots never reach production

Not because the model is wrong — because no one can prove it’s safe, governed, and supportable.

“Copilot is ready to turn on — but who can see what?”

Switching it on is easy. Stopping it surfacing the wrong file to the wrong person is the hard part.

“The PoC works — but it isn’t secured or supportable.”

A demo on someone’s laptop is not a production system with identity, monitoring, and cost control.

“Legal said the data can’t leave our tenant.”

Public AI endpoints are a non-starter for regulated and sovereignty-bound teams.

We solve for those first — then the AI is easy.

Pillar 01

Azure AI & Foundry Builds

Production-grade AI on Microsoft’s own platform: retrieval-grounded assistants, multi-agent workflows, and copilots wired to your real data — deployed with evaluation, monitoring, and cost controls, inside your own Azure subscription.

Ideal for: a team with a stalled proof-of-concept that now needs it built properly, secured, and shipped — data and bill staying in your subscription.
Talk to us about Foundry builds
Pillar 02

Copilot Studio & M365 Copilot Governance

Two jobs, one team: build custom Copilot Studio agents, and make Microsoft 365 Copilot safe to switch on. The hard part isn’t turning it on — it’s stopping it surfacing the wrong file to the wrong person. We close that with Microsoft’s own stack.

Ideal for: an org that bought (or is evaluating) M365 Copilot and is nervous to turn it on tenant-wide — especially regulated teams needing an oversharing/DLP story first.
Talk to us about Copilot governance
Pillar 03 · our differentiator

Sovereign / Private AI

For regulated and sovereignty-bound organizations, public AI endpoints are a non-starter. We deploy AI entirely inside your tenant, private network, or on-prem: open-weight or hosted models on infrastructure you control — with full data residency, network isolation, and an auditable boundary.

Ideal for: government-adjacent, healthcare, finance, and defense-supply-chain teams under data-residency or sovereignty mandates that cannot send data to public endpoints.
Talk to us about Sovereign AI
Pillar 04

AI Strategy, Automation & Enablement

The advisory and adoption layer around the other three: highest-ROI use-case discovery, a pragmatic sequenced roadmap, agentic automations that remove real work, and training so AI sticks after handover.

Ideal for: leadership that needs an AI plan but lacks an internal owner — and wants a trusted Microsoft partner to set direction, build the first automations, and upskill the team.
Talk to us about AI strategy
Why teams choose us

Why Kunzite for AI

Microsoft-native, end to end

Azure, Microsoft 365, Entra, Purview — one stack, one partner, no integration seams.

Security-first, not security-later

Least-privilege by default; Purview, DLP and Entra are step one, not an afterthought.

Sovereign when it matters

When data can’t leave, we run AI inside your boundary — a lane most boutiques don’t cover.

Production, not PoC theatre

We ship systems with identity, monitoring, cost control and a runbook — not demos.

How we work

From assessment to production — in steps

1

Discovery & Assessment

Prioritize use cases, prove feasibility, and surface the security/governance gaps.

2

Pilot / Proof of Value

Build one high-ROI use case and measure it on Foundry or as a Copilot Studio agent.

3

Production & Governance

Harden, secure, and govern it for tenant-wide use — identity, DLP, monitoring.

4

Enablement & Optimize

Train your team, track adoption, and tune cost and quality over time.

Most engagements start with a fixed-scope AI Assessment or a time-boxed Pilot, then scale into a build or a managed retainer.

Credibility

A Microsoft Partner, security-first by default

Microsoft Partner
Microsoft PartnerAzure AI FoundryMicrosoft 365 CopilotSecurity & Governance
Common questions

AI, answered for security teams

Is our data used to train public AI models?
No. We build inside your own Azure / Microsoft 365 tenant. Your data stays yours and is not used to train public foundation models.
Is Microsoft 365 Copilot safe to turn on?
It can be — once oversharing is addressed. We audit who-can-see-what, then apply Purview labels, DLP, and Entra access controls before any tenant-wide rollout.
Can AI run fully on-prem or inside our tenant?
Yes. Our sovereign / private AI runs models inside your boundary — no prompts or documents leave your environment.
How long from idea to production?
Most engagements start with a fixed-scope assessment or a time-boxed pilot, then scale into a build. We confirm realistic timelines during discovery rather than quoting a generic number.
Do we need to be on Azure already?
It helps, but it’s not required. We can stand up the Azure or Microsoft 365 foundation as part of the engagement.
How is AI work priced?
As engagement shapes: a fixed-scope AI Assessment, a Pilot, or Build & Operate. We scope to your goals on the call rather than publishing list prices.

Ready to put AI to work — safely?

Start with a fixed-scope assessment or a short pilot. We’ll show you what’s possible on your stack, and how to govern it.

Book an AI strategy call

Microsoft Partner · Security-first · Sovereign options available