COMPLIANT AI ENABLEMENT

AI your team can actually use — without breaking compliance.

We deploy and manage Microsoft Copilot and Google Gemini inside your compliant environment, with the governance, access controls, and audit logging CMMC expects — plus custom AI agents built for how your team actually works.

Copilot & Gemini Governed & audit-logged Custom AI agents

Inside your compliant boundary

GCC High or Google Assured Workloads

Microsoft CopilotDeployed & governed in-tenant
Google GeminiInside Assured Workloads
Custom AI agentsBuilt for your workflows
CUI never leaves the compliant boundary

WHAT YOU GET

Productivity AI, on the right side of the line.

Your team wants Copilot and Gemini. Your compliance obligations don’t disappear because the tool is helpful — ungoverned AI is one of the fastest ways to put CUI somewhere it shouldn’t be.

We deploy these tools inside your compliant environment, wire up the governance and audit logging CMMC expects, and keep AI on the right side of your data boundary — so your team gets the productivity without the exposure.

Copilot & Gemini deploymentSet up and configured inside your GCC High or Google Assured Workloads environment — not a bolt-on commercial account.
Role-based access controlsWho can use AI, on what data, scoped with RBAC so it respects your existing permissions model.
Governance & audit loggingAI usage logged and auditable, aligned to the AC, AU, and SC control families assessors care about.
CUI-safe data boundaryAI operates inside the compliant boundary — CUI is never sent to commercial public AI endpoints.
Custom AI agentsPurpose-built agents for your workflows — designed and governed to the same compliant standard.

GOVERNANCE & SECURITY

The line we don’t cross.

AI is only an asset if it stays inside your compliance boundary. Here’s the difference between compliant AI enablement and the shadow-AI risk most contractors are quietly carrying.

Greypike-managed AI

  • Runs inside your GCC High or Assured Workloads boundary
  • CUI stays in the compliant environment — never sent to commercial AI endpoints
  • Access scoped with RBAC to your permissions model
  • Usage logged and auditable for assessment
  • Documented in your SSP against AC / AU / SC controls

Ungoverned “shadow AI”

  • Staff paste sensitive content into public chatbots
  • CUI leaves your boundary with no audit trail
  • No access controls — anyone, any data
  • No logging — invisible to an assessor
  • A finding waiting to happen on your next assessment

HOW IT WORKS

From shadow AI to governed AI.

A structured rollout that turns ad-hoc AI use into a governed, documented capability your assessor can see.

01

Readiness review

We assess your environment, data sensitivity, and where AI can safely add value — and where it can’t.

02

Deploy in-boundary

Copilot and Gemini configured inside your compliant environment, scoped with role-based access.

03

Govern & document

Audit logging, usage policies, and SSP documentation tied to the AC, AU, and SC control families.

04

Enable & extend

Roll out to your team with training — and build custom AI agents for the workflows that matter most.

COMMON QUESTIONS

Questions about Compliant AI.

Can AI touch our CUI?
Only inside the compliant boundary. We deploy Copilot and Gemini within your GCC High or Google Assured Workloads environment, where they operate under the same controls as the rest of your CUI. What we never do is send CUI to commercial, public AI endpoints — that’s the line we don’t cross, and the architecture is designed to enforce it.
Do we need an enclave first?
You need a compliant environment for AI to run inside — typically a Managed Compliant Enclave (GCC High or Google Assured Workloads). If you already have an eligible environment, we can enable AI within it. If not, the enclave is the natural starting point.
What are the custom AI agents?
Purpose-built assistants for your specific workflows — for example, drafting against your templates, summarizing inside your document sets, or routing routine tasks. They’re built and governed to the same compliant standard as Copilot and Gemini, inside your boundary.
How does this help with our CMMC assessment?
Ungoverned AI is a liability at assessment time — usage no one can see or account for. Governed AI is the opposite: access is controlled, usage is logged, and it’s documented in your SSP against the AC, AU, and SC control families. It turns a risk into a controlled, evidenced capability.
How is the pricing structured?
A setup phase to deploy and govern, then an ongoing per-user managed fee — plus your Microsoft or Google license costs. The exact structure depends on your environment and scope, which we confirm during scoping. See pricing for details.

LET’S TALK

Give your team AI — and your assessor nothing to worry about.

Book a scoping session and we’ll review where AI fits in your environment, confirm the boundary, and map a compliant rollout.

Inside your boundary · Governed & logged · Cyber AB RPA-led