Years Federal Experience
Sectors Served
Governance Layers
AI Governance Niches
The Risk Is Real
EVERY SECTOR FACES
MOUNTING REGULATORY
EXPOSURE.
The question is no longer whether your organization will face AI governance scrutiny — it is whether you will be prepared when it arrives. The regulatory landscape has shifted dramatically, and the consequences of non-compliance are severe.
Government Agencies
FOIA non-compliance for AI-generated records. Consequence: Litigation, IG investigations, congressional scrutiny.
Prime Contractors
AI procurement violations & vendor governance gaps. Consequence: Contract termination, debarment, False Claims Act exposure.
Healthcare Systems
AI clinical decision tools without governance frameworks. Consequence: HIPAA violations, FDA scrutiny, malpractice liability.
Financial Institutions
AI model risk without SR 11-7 alignment. Consequence: Regulatory sanctions, enforcement actions, reputational damage.
Universities
AI in research without IRB/data governance protocols. Consequence: Federal grant suspension, accreditation risk, FERPA exposure.
Regulated Industries
Unstructured AI deployment without oversight frameworks. Consequence: Sector-specific enforcement, class action exposure.
About CGS
EXPERTISE
THAT MATTERS.
Curry Governance Solutions (CGS) helps organizations govern artificial intelligence responsibly. We work with government agencies, contractors, healthcare systems, financial institutions, and universities to build the governance structures, policies, and risk oversight needed to deploy AI safely, transparently, and in compliance with regulatory requirements.
CGS brings more than 15 years of federal governance leadership and regulatory compliance expertise, drawing on deep experience in records management, privacy law, FOIA compliance, and enterprise governance — the exact disciplines that now sit at the center of AI regulatory scrutiny.
Sectors We Serve
Federal & State Government Agencies
CGS helps government agencies implement AI governance frameworks that comply with Executive Order 14110, NIST AI RMF, OMB M-24-10, and agency-specific requirements. We provide the governance structures needed to deploy AI systems responsibly within federal environments — including FOIA compliance for AI-generated records, a rapidly emerging area of regulatory exposure.
The Challenge
Organizations implementing AI must balance innovation with responsible governance. Without the right structures in place, the risks — regulatory, operational, and reputational — compound fast.
CGS helps organizations close the compliance gap — before an audit, lawsuit, or breach forces the issue.
What We Do
THREE CORE
SERVICE LANES
CGS organizes its work into three distinct practice areas, each addressing a different dimension of governance risk. Organizations may engage one lane or all three, depending on their current exposure and maturity.
01 — The Foundation
Enterprise Compliance
Traditional compliance work that every regulated organization needs — records management, FOIA compliance, privacy frameworks, and regulatory alignment. CGS brings 15+ years of federal expertise to build the compliance infrastructure your organization requires.
- →Records Management & Retention
- →FOIA Compliance Programs
- →Privacy Act Implementation
- →Regulatory Gap Analysis
- →Policy Development & Review
- →Compliance Training Programs
Government Agencies · Universities · Healthcare · Finance
02 — Governance Systems
Operational Oversight
Enterprise governance systems that ensure your organization has the structures, processes, and accountability mechanisms to manage risk at scale. From oversight bodies to audit frameworks, CGS builds the governance infrastructure that regulators and auditors expect to see.
- →Governance Framework Design
- →Oversight Body Establishment
- →Audit Readiness Programs
- →Risk Management Systems
- →Internal Control Frameworks
- →Executive Accountability Structures
All Sectors · Enterprise Organizations · Regulated Industries
03 — Expertise — Three Focus Areas
AI Governance
Narrow, premium AI governance work in three high-demand areas where CGS has deep expertise and where regulatory pressure is most acute. Not generalist AI consulting — specific, defensible governance for the areas that matter most.
- →FOIA & AI Records Compliance
- →AI Procurement & Vendor Governance
- →AI Risk for Regulated Industries
- →NIST AI RMF Implementation
- →AI Policy Development
- →Algorithmic Transparency Frameworks
Federal Agencies · Contractors · Healthcare · Finance · Universities
Not sure which service fits your situation?
Tell us your governance challenge and we'll map it to the right solution.
AI Governance Niche
THREE AREAS WHERE
CGS SPECIALIZES.
Rather than claiming expertise in all things AI, CGS has narrowed its AI governance practice to three high-demand, high-consequence areas where our federal background creates a genuine competitive advantage.
01 — Highest Demand
FOIA & AI Records Compliance
02 — High Demand
AI Procurement & Vendor Governance
03 — Growing Demand
AI Risk for Regulated Industries
01 — Highest Demand
FOIA & AI Records Compliance
The single most underserved and rapidly growing area of AI governance. As agencies deploy AI systems, every decision, recommendation, and output becomes a potential federal record subject to FOIA disclosure. Most organizations have no framework for this.
Why This Matters Now
AI-generated records are now subject to FOIA requests. Agencies that cannot identify, retrieve, and appropriately withhold AI records face litigation, IG investigations, and congressional scrutiny. The DOJ and NARA have issued guidance — but few agencies have implemented it.
5 U.S.C. § 552 · NARA Guidance · DOJ FOIA Policy
Key Deliverables
- →AI Records Inventory & Classification
- →FOIA Response Protocols for AI Records
- →Retention Schedule Development
- →Exemption Analysis Frameworks
- →Staff Training & SOPs
Proprietary Framework
Phase 1
Assessment
Fixed-Fee · 2–4 Weeks
Phase 2
Implementation
Project-Based · 30/60/90 Days
Phase 3
Ongoing Monitoring
Retainer · Monthly
Phase 1 · Fixed-Fee · 2–4 Weeks
Assessment
A structured, fixed-fee assessment that identifies your current governance posture, regulatory exposure, and priority gaps. Delivered as a written report with a risk score and actionable recommendations.
Deliverables
THE CGS 7-LAYER
RESPONSIBLE AI
GOVERNANCE MODEL™
The CGS 7-Layer Responsible AI Governance Model™ is structured as a three-phase engagement — concentrated on the governance areas that matter most: Assessment, Implementation, and Ongoing Monitoring.
Each phase maps to specific governance layers and produces concrete deliverables — designed for organizations where deploying AI without a structured governance layer is not an option.
CGS Responsible AI Governance Framework™
Layer Breakdown
AI Governance Policy
Establishing foundational policies that define responsible AI use, accountability structures, and organizational commitments to ethical deployment.
Data Governance & Privacy
Implementing robust data management frameworks that ensure privacy compliance, data quality, and responsible data stewardship across AI systems.
Risk Assessment & Management
Identifying, evaluating, and mitigating AI-related risks across regulatory, operational, reputational, and ethical dimensions.
Transparency & Explainability
AI decision-making made auditable and understandable to all stakeholders, regulators, and the public.
Compliance & Regulatory Alignment
Mapping AI systems to applicable federal and sector-specific regulations — NIST AI RMF, EO 14110, HIPAA, SR 11-7, and more.
Oversight & Accountability
Defined roles, responsibilities, oversight bodies, and escalation paths for AI governance across the enterprise.
Continuous Monitoring
Sustained regulatory compliance, performance tracking, and public confidence through ongoing AI risk monitoring and audit readiness.
Easy Entry Points
START WHERE YOU ARE.
Not every engagement needs to start with a full framework deployment. CGS offers structured, fixed-fee entry points that deliver immediate value and create a clear path to deeper engagement.
Most Popular
AI Readiness Audit
Fixed-Fee · 2-Week Turnaround
A comprehensive assessment of your organization's current AI governance posture. Identifies gaps, quantifies risk exposure, and delivers a written report with a prioritized remediation roadmap.
- →AI Systems Inventory Review
- →Regulatory Gap Analysis
- →5-Dimension Risk Score
- →Written Assessment Report
- →30-Minute Debrief Call
Compliance Gap Assessment
Fixed-Fee · 1-Week Turnaround
A focused assessment that identifies your top five compliance risk areas and provides specific, actionable guidance for each. Ideal for organizations that need to understand their exposure quickly.
- →Top 5 Risk Area Identification
- →Regulatory Requirement Mapping
- →Priority Action List
- →Executive Summary Report
- →Follow-Up Q&A Session
30/60/90-Day Compliance Build
Project-Based · Structured Rapid Deployment
A structured engagement that deploys a governance framework, policy suite, and oversight structure in 30, 60, or 90 days — depending on scope. Built for organizations that need to move fast.
- →Governance Framework Design
- →Policy Suite Development
- →Oversight Structure Setup
- →Staff Training & SOPs
- →Implementation Verification
Specialized Service
FOIA AI Records Review
Fixed-Fee · Specialized Service
A specialized assessment for agencies and organizations with AI systems that may generate records subject to FOIA disclosure. Includes retention schedule review and response protocol development.
- →AI Records Inventory
- →FOIA Applicability Analysis
- →Retention Schedule Review
- →Response Protocol Development
- →Staff Guidance Document
Enterprise SaaS Platform
CGS AI GOVERNANCE &
RECORDS INTELLIGENCE
PORTAL™
An enterprise-grade SaaS platform purpose-built to operationalize AI governance, automate compliance workflows, and manage AI records from submission through final disposition — with full audit-ready documentation at every step.
Governance Workflow
AI Use Case Intake
Smart intake with conditional logic, real-time PII detection, and automated regulatory trigger identification.
Risk Scoring Engine
Live five-dimension risk scoring with automated action recommendations and escalation thresholds.
Privacy Review Workflow
Automated PII routing to privacy officers with structured review queues and PIA generation.
Records Management Engine
Automatic NARA classification, OCR extraction, retention labeling, RMSA self-assessment, and destruction workflow.
Policy & Control Library
Centralized repository of AI governance policies and regulatory controls mapped to federal frameworks.
Audit Log & Reporting
Immutable audit trail capturing every action, decision, and timestamp for IG and compliance review.
Approval Workflow Engine
Multi-stage approval routing: Submission → Risk → Privacy → Records → Legal → Decision.
Executive Dashboard
Real-time visibility into governance posture, risk exposure, and compliance status across all AI use cases.
Free Resource
KNOW WHERE YOU STAND
BEFORE A REGULATOR
TELLS YOU.
Get the free CGS AI Governance Readiness Checklist — 20 questions mapped directly to federal standards. Identify your gaps before an audit does it for you.
Used by governance leaders across federal, healthcare, and defense sectors.
Our Strategic Advantage
THE METHODOLOGY
THAT CONNECTS
EVERYTHING.
Organizations working with CGS gain a governance methodology that connects AI innovation, regulatory compliance, operational risk management, and public transparency into a single coherent structure.
This allows organizations to adopt advanced technologies with confidence while protecting their reputation, legal standing, and long-term operational integrity.
AI Innovation
Deploy advanced AI with governance built in from day one.
Regulatory Compliance
Stay ahead of federal and sector-specific standards.
Operational Risk Mgmt
Identify and mitigate risk before it becomes exposure.
Public Transparency
Build lasting trust with the public and regulators.
Let's Work Together
READY TO CLOSE
THE GOVERNANCE
GAP?
Organizations implementing AI must balance innovation with responsible governance. CGS helps organizations build the governance structures needed to deploy AI responsibly, confidently, and in compliance with regulatory requirements.