Govcon AI Governance That Produces Evidence Addressing Risk
We help government contractors adopt AI safely and compliantly—by building a practical governance system, risk controls, and an evidence pack you can use in proposals and audits
Not ethics slides. Note Generic Policy. Not Big 4 Overhead
Based in Harrisburg, PA — serving government contractors and regulated organizations across the United States.
AI Governance That Matches Federal Expectations
We deliver:
Bid confidence: AI governance language + artifacts for proposals and due diligence
Delivery safety: risk controls embedded in the AI lifecycle (not a binder)
Evidence on demand: traceable approvals, decisions, testing, monitoring, vendor oversight
Who is mcmastersAI For?
You’ll get the most value if:
You’re a Federal contractor or regulated organization adopting AI in delivery, internal operations, or proposals
Teams are already using AI tools (ChatGPT, Copilot, vendor copilots, internal pilots), but there’s no central view of risk
Contracts, primes, or agencies are starting to ask about AI governance, data handling, or model risk management
You want Federal-grade discipline without building a full-time AI risk office
What You’ll Have After Working with mcmastersAI
A comprehensive, up-to-date inventory of AI systems, tools, vendors, and use cases, including shadow AI initiatives.
A detailed risk map illustrating where AI interacts with PII, Federal data, or high-impact decision-making processes.
A tailored AI governance framework aligned with NIST AI RMF and relevant OMB and agency mandates.
Clear, concise policies, standards, and practical playbooks designed for effective team implementation.
Comprehensive documentation suitable for use in proposals, security questionnaires, audits, and executive briefings.
A Practical, Federal-Aware Approach to AI Governance - You get structure without the bureaucracy.
Discover – Map Your AI Foot print - Inventory AI tools, models, and vendors. Identify shadow AI and where sensitive and Federal data might be exposed.
Assess – Understand Your AI Risk - Classify use cases by mission impact, data sensitivity, and contractual risk. Highlight the gaps that matter most.
Design – Build Your Governance Framework - Define decision rights, approval paths, and escalation triggers. Create short, clear policies and standards your teams can own.
Embed – Make It Part of Daily Work - Integrate governance into existing delivery, IT, security, and proposal workflows. Provide checklists and templates, not theory.
Evolve – Keep Pace with AI & Regulation - Review and refine as tools, contracts, and guidance change, so you stay credible and audit-ready over time..