Realizing value in regulated environments

Move fast when the stakes are high.

Your board wants proof the AI is governed. Your best deal is stuck behind a security review. The Copilot you bought is barely used. Bring in someone who clears all three quietly, and you walk in as the person who finally made AI pay off.

Governance is the mechanism. The outcome is AI that ships, scales, and survives the audit.

Speed without control is a liability. Control without speed is a brake. Most advisors give you one. The value is a single operating model that does both, where the controls are what let you say yes faster.

CMMCNIST 800-171SOC 2ISO 27001ISO 42001

Rarely one regime. The right combination clears the stalled deal, wins the federal work, and gets value from the AI you already paid for.

Jimi Ige
Jimi Ige
Trusted By
Microsoft · Freddie Mac · Capital One · Accenture · Deloitte · U.S. federal agencies
Certifications
CISSP · CISM · CRISC · ISO 27001 Lead Implementer · PMP · PMI-ACP · Prosci
DoD 8140 Baseline
IAT III · IAM III · IASAE II
Education
M.P.A., Indiana (O'Neill) · B.A., Washington University
Georgetown SCS Certificate in AI Governance & Compliance
What I do

Three problems I solve.

AI Governance, Risk & Compliance

A deal stalls on a CMMC or SOC 2 gap, or a customer wants proof your AI is governed. I clear it: readiness assessments, 3PAO and audit prep, and the governance and risk controls underneath, across CMMC L2/L3, NIST SP 800-171, SOC 2, NIST AI RMF, and ISO 42001.

Enterprise AI Adoption

The tools are bought; barely anyone uses them. I run the rollout end to end (Copilot and ServiceNow NowAssist) with real change management, a network of champions, training that bakes in the guardrails, and usage you can measure.

AI ROI & Business Case

What is the AI spend returning? I build the business case, model the ROI honestly (adoption lag included), and give your board reporting it can trust and act on.

Use the free ROI calculator →
Track record

What this looks like when the stakes are real.

~100K
seats on a federal Copilot deployment where I led the AI-governance workstream, via a prime
$6M+
AI & analytics portfolio delivered across 7 enterprise cloud programs
20+
years across federal, financial services, and defense-adjacent work
Financial services · zero-trust · ~11,000 employees
Challenge
Leadership had to decide whether to fund enterprise GenAI (ServiceNow NowAssist) with no defensible business case and no way to govern sustained use.
Approach
Built the AI investment business case, facilitated SOC 2 and vendor risk assessments, and designed human-in-the-loop workflows with intake validation and compliance gates across ITSM and HR.
Result
Projected 16% efficiency gains; the analysis informed executive steering decisions on enterprise GenAI investment.
Enterprise software · M365 & Azure · regulated reporting
Challenge
GenAI-driven compliance reporting was accumulating audit exposure, with findings climbing year over year.
Approach
Embedded governance checkpoints and automated policy validation directly into Azure-based GenAI workflows.
Result
30% fewer audit findings year over year, with reporting that stays audit-defensible.
Medicaid-funded local government agency · HIPAA · multi-agency data sharing
Challenge
The agency needed governance for its AI and data systems, and compliant data sharing with behavioral-health providers under HIPAA and state law.
Approach
Governed HIPAA-compliant analytics and policy-enforcement workflows, and negotiated data-sharing agreements and privacy clauses with public-sector clients.
Result
$4M ARR in public-sector accounts governed, with data sharing compliant across federal and California requirements.
Insights

A practitioner's view, on the record.

Writing and speaking on what it takes to govern and scale AI where the stakes are high, for boards, CISOs, and program leaders making the call. Available for keynotes, panels, executive briefings, and board sessions.

Themes
Turning a compliance deadline into an AI operating model
CMMC and SOC 2 readiness as an AI advantage, not a tax
Driving measurable AI adoption in regulated industries
AI ROI that survives the adoption lag
Contact

Start with a conversation.

Standing up a governance program, scaling adoption, or preparing for audit. Tell me where you are and where you need to be.

Book a conversation
References available on request
LinkedInlinkedin.com/in/jimi-ige→ GitHubgithub.com/Jimi-Ige→ Office1725 I Street NW, Suite 300
Washington, DC 20019→