AI & CMMC Compliance

Practical AI governance for CMMC readiness

Reduce unclear AI risk with CMMC-aligned assessments shaped by public-sector delivery experience.

Control sensitive data exposure with technology-agnostic architectures and documented workflows.

Move faster with rapid mobilization from roughly 80 developers, analysts, testers, and PMs.

Strengthen cloud controls with support from Microsoft AI Cloud, AWS, Oracle, and Google Cloud partnerships.

Turn AI goals into pilot projects that measure value before scaling into production environments.

Request a Quote for our AI & CMMC Compliance

Trusted By

Confidence Built Through Reliable Delivery

See how practical execution, continuity, and modernization support complex technology goals.

TechZavy Consultant has been doing wonderful on the projects they have been working on. I’m very happy with the quality of work and productivity. My goals are being met.

Lisa Zitek-Jones

QA Supervisor, MNIT Partnering with MN Pollution Control Agency

TechZavy has been meeting all contract obligations, including application development, data mapping, and process improvements. They have been extremely flexible in working with our technical and business requirements, have adjusted schedules and accommodated our resource timelines very well. Has worked extremely well with us in clarifying and adjusting deliverables as defined in the contract and has shown adaptability with us for minor modifications. Overall TechZavy has helped us advance our project as we approach production launch in the coming months.

Robert Wehausen

MNIT Supervisor, BWSR - Minnesota IT Services

Shan has led the development of our department’s online platform that captures energy efficiency program data reported by 100+ Minnesota electric and gas utilities. Shan and TechZavy team have an exceptional level of technical expertise and a keen ability to implement user-friendly designs. I highly recommend Shan to anyone who is looking to develop software product solutions.

Adam Y. Zoet

Energy Planner, Director, Minnesota Department of Commerce

Moving our legacy databases to an Azure SQL Managed Instance was a massive undertaking, but TechZavy executed it flawlessly. Their managed cloud services optimized our system architecture, boosting scalability and guaranteeing zero downtime.

TechZavy’s contributions to AI-driven enhancements—particularly the CRM chatbot for the MMCAP Members Portal—have meaningfully improved system functionality and user experience. Shan played a key role in modernizing the MMCAP analytics (ProductFile) processing by leading its migration from a legacy SSMS platform to an Azure-based solution using Data Factory, Databricks, and AI-supported optimizations. Also excelled in multiple roles as Project Manager, Azure Administrator, and AI Architect roles

Michelle Perish

Application Support Specialist, State of Minnesota

TechZavy engineered a high-performance, centralized platform that bridged our legacy applications and brought us fully into the Azure cloud. The real game-changer has been their innovative use of Azure Open AI and autonomous agents to automate the reconciliation of judicial comments and sentencing departures. By seamlessly integrating our data with MNCIS and the DOC, TechZavy eliminated decades of data silos and drastically reduced our team’s manual administrative overhead. They delivered a solution that perfectly supports our statutory mandate

Tim Ogg

Director of MBCC-IT, Minnesota Sentencing Guidelines Commission

Public-Sector Modernization Built for Secure AI Readiness

Unifying Fragmented Justice Data Into One Intelligent, AI-Driven Case Platform

How a state sentencing commission replaced siloed legacy systems with a modern, AI-powered ecosystem for case management.

Modernizing Mission-Critical Government Procurement Data Systems With Azure and AI

How a legacy-heavy public-sector procurement platform became a fast, secure, cloud-native operation.

Modernizing Statewide Energy Reporting for Minnesota’s Regulatory Future

From a decade-old legacy system to a cloud-native platform serving 200+ utilities across Minnesota.

Ensuring Air Quality Data Accuracy for a Public-Sector Environmental Monitoring Platform

How full-stack QA and sprint traceability turned data from multiple third-party sensors into air-quality readings the public can trust.

Modernizing a Statewide Wetland Mitigation System With a Unifed Azure Platform

From decades of legacy data and manual workflows to an integrated, transparent, cloud-based mitigation system.

Awards & Certifications

AI and CMMC Compliance Services Built for Execution

Practical readiness from assessment to operations

Readiness Assessment

Find gaps before they grow

AI and CMMC work starts with understanding where controlled information, users, applications, and third-party tools intersect. TechZavy reviews your current application and data landscape, identifies AI-related risk points, and translates findings into practical remediation priorities.

You gain a clear view of gaps, dependencies, and near-term actions so compliance planning is tied to real systems, not abstract policy language.

AI Governance

Control AI use with clarity

Uncontrolled AI usage can expose sensitive data or create processes that are difficult to audit. TechZavy helps define governance models for approved use cases, data boundaries, role-based access, review workflows, and acceptable AI behavior.

The outcome is a practical operating structure that helps teams use AI responsibly while supporting CMMC readiness, internal accountability, and repeatable decision-making.

Control Documentation

Make evidence easier to manage

CMMC-aligned environments require clear control implementation, supporting evidence, and consistent operational habits. TechZavy helps organize policies, procedures, access practices, monitoring workflows, and DevOps documentation around your technology stack.

This creates stronger handoffs between leadership, security, development, and operations teams, reducing confusion when systems change or compliance evidence is needed.

Secure AI Pilots

Test value before scaling

Before scaling AI, pilot projects should prove business value and expose operational risk early. TechZavy helps define realistic AI objectives, build controlled pilots, test outcomes, and measure value on AI investment.

This assess, design, pilot, measure, and scale approach keeps AI aligned to compliance needs while giving stakeholders evidence for safer production decisions.

Cloud Modernization

Modernize without lock-in

Legacy systems often complicate CMMC readiness because data ownership, integrations, and access patterns are unclear. TechZavy supports modernization planning, migration, cloud optimization, and technology-agnostic architectures that reduce long-term complexity.

With Microsoft AI Cloud Partner, Oracle Cloud Partner, AWS Solutions Provider, and Google Cloud Partner status, TechZavy can help align modernization paths to operational and compliance needs.

Managed Operations

Keep controls operational

Compliance readiness must continue after initial planning. TechZavy supports managed operations, monitoring, testing, upgrades, documentation updates, and rapid knowledge transfer so controls remain practical as systems evolve.

Dedicated delivery practices, backup coverage, and scaled Agile DevOps help maintain continuity while adapting to changing technical requirements, business priorities, and AI use cases.

Our Elite Partners

Measured Strength Behind Secure AI and Compliance Delivery

80%

First-Call Resolution

95%

Customer Satisfaction

5 day

Onboarding Time

Align AI Adoption With CMMC Readiness

AI adoption can create real operational value, but it also changes how sensitive information, access, audit trails, and workflows need to be managed. TechZavy helps you evaluate where AI belongs, where it creates risk, and how those decisions connect to CMMC readiness.

The process starts with your current systems, data flows, user roles, and business objectives. From there, practical controls, documentation, monitoring, and pilot projects are shaped around measurable outcomes instead of generic AI experiments. The result is a clearer path to compliant, secure, and useful AI adoption across complex environments.

Turn Compliance Requirements Into Operational Controls

CMMC readiness depends on more than a checklist. It requires consistent execution across people, platforms, data, and vendors. TechZavy brings a delivery-focused model that connects compliance planning to implementation, DevOps documentation, testing, and managed operational support.

Assess AI use cases against sensitive data exposure and access risk.
Map existing systems, workflows, and cloud environments to control needs.
Define realistic AI objectives before moving into pilot projects.
Document processes, handoffs, monitoring, and operational responsibilities.
Support modernization of legacy systems that create compliance friction.

Build Secure AI Capabilities Without Losing Momentum

TechZavy approaches AI and CMMC compliance as an execution challenge, not a standalone advisory exercise. Your team gets practical support across assessment, design, pilot development, measurement, and scale.

With experience serving government, healthcare, environment, fintech, retail, and supply chain organizations, TechZavy understands the need for continuity, procurement confidence, and reliable delivery. Cloud partnerships with Microsoft, AWS, Oracle, and Google Cloud support secure modernization options, while scaled Agile DevOps keeps work transparent, adaptable, and connected to business and mission outcomes.

Assess Your AI and CMMC Readiness

Get clarity on AI risk, CMMC readiness, and next-step priorities.

Related Secure AI and IT Services

Frequently Asked Questions

What does the AI & CMMC compliance service actually include?

The AI & CMMC Compliance service covers end-to-end support for aligning your AI initiatives with CMMC requirements. This includes assessing your current systems and data flows, identifying sensitive data exposure, mapping compliance controls, and documenting operational responsibilities. You also receive guidance on pilot projects, risk mitigation, and modernization of legacy systems to meet compliance standards. The service connects assessment, design, testing, and managed support under one delivery model.

How can AI & CMMC compliance help reduce data risk in my organization?

AI & CMMC Compliance helps you control sensitive data exposure by applying technology-agnostic architectures and clear workflow documentation. You benefit from practical controls that limit unauthorized access, robust monitoring, and audit trails tailored to your operational realities. The approach is designed to reduce ambiguity around AI risk while ensuring your systems meet both security and compliance benchmarks.

What is the step-by-step process for achieving AI and CMMC readiness?

The process begins with a thorough assessment of your current systems, data flows, and user roles. Next, realistic AI objectives are defined and pilot projects are designed to measure value in production-like settings. Controls, documentation, and monitoring are put in place, followed by modernization of any legacy systems that create compliance friction. Ongoing support covers testing, DevOps documentation, and operational handoffs to ensure sustained compliance.

How long does an AI & CMMC compliance engagement typically take and what affects the timeline?

The timeline for AI & CMMC Compliance engagements varies based on your environments complexity, number of systems, and readiness of existing documentation. Rapid mobilization is supported by a team of roughly 80 specialists, so initial assessments and pilot phases can often begin within weeks. Factors that may impact duration include:

Scope of data, workflows, and legacy systems involved
Level of existing compliance controls
Number of stakeholders and decision-makers
Integration needs with cloud or on-premises platforms

What makes this approach to AI & CMMC compliance different from other providers?

You gain the advantage of a provider with a proven public-sector track record, rapid mobilization capabilities, and partnerships with Microsoft, AWS, Oracle, and Google Cloud. The delivery model emphasizes measurable outcomes through AI pilots and connects compliance planning directly to implementation and managed support. Unlike advisory-only firms, you receive hands-on execution from assessment through production, ensuring realistic results and ongoing operational continuity.