Production-Ready AI, Secured and Governed for Your Environment.

Enterprise AI applications, agents, Copilot solutions and intelligent automation on Microsoft Foundry, Microsoft 365 and Azure, with security, identity, governance and operational readiness built in.

Microsoft PartnerMicrosoft FoundryMicrosoft 365 CopilotSovereign / Private AI
The real blocker

Most AI pilots never reach production

They stall because no one can prove they are safe and supportable in production.

“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.”

For regulated and sovereignty-bound teams, shared public AI endpoints often can’t meet policy.

We solve for those first. Then the AI is easy.

Pillar 01

AI Apps & Agents on Microsoft Foundry

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, with 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 is stopping Copilot surfacing the wrong file to the wrong person, and we close that gap with Microsoft’s own stack.

Ideal for: an org adopting (or evaluating) M365 Copilot that wants a safe, governed tenant-wide rollout, especially regulated teams that need an oversharing and DLP story first.
Talk to us about Copilot governance
Pillar 03 · our differentiator

Sovereign / Private AI

When policy rules out shared public AI endpoints, we deploy AI inside your tenant, private network or on-prem: open-weight or hosted models on infrastructure you control, with 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 must keep data off 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 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 and Purview: one stack and one partner, with no integration seams.

Security first

Least privilege by default. Purview, DLP and Entra come first.

Sovereign when it matters

When data can’t leave, we run AI inside your boundary.

Production-grade from day one

We ship systems with identity, monitoring, cost control and a runbook.

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 Microsoft 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 PartnerMicrosoft FoundryMicrosoft 365 CopilotSecurity & Governance
Common questions

AI, answered for security teams

Is our data used to train public AI models?
For Microsoft 365 Copilot, Microsoft states that prompts, responses, and data accessed via Microsoft Graph are not used to train foundation models. For custom AI solutions, data handling depends on the services, models and boundaries we design, and we document it explicitly for your environment.
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 on-prem or inside our tenant?
Yes. Our sovereign / private AI architectures run models inside your boundary, designed so prompts and documents do not 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.
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 assessment, a Pilot, or Build & Operate. Pilots and builds are scoped to your goals on the call.

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

Or start fixed-scope: Copilot Readiness & Data Governance Check →

Microsoft Partner · Security-first · Sovereign options available