AI Governance Program Development

Your organization is using AI. The question is whether you’re governing it intentionally or hoping nothing goes wrong. Our AI Governance Program Development service builds the complete framework you need to manage AI risk, meet compliance requirements, and enable responsible innovation.

The Challenge

AI adoption is outpacing governance at most organizations. Employees are using ChatGPT, Copilot, and embedded AI features daily—often without guidance on what’s appropriate, what data can be shared, or the risks they create. Meanwhile, leadership lacks visibility into how AI is being used and whether it aligns with organizational values and regulatory requirements.

The result is shadow AI—unmanaged AI tools proliferating across your organization, each one a potential source of data leakage, compliance violations, or reputational damage. Without a governance program, you’re not managing AI risk. You’re just hoping it doesn’t materialize.

Building an AI governance program from scratch is daunting. Where do you start? What policies do you need? How do you balance enabling innovation with managing risk? That’s where we come in.

Our Solution

AIGO Group’s AI Governance Program Development service delivers a comprehensive, operational governance framework tailored to your organization. We don’t hand you a template and wish you luck. We work alongside your team to build policies, procedures, and controls that actually work—and that your people will actually follow.

Our methodology is built on the NIST AI Risk Management Framework (AI RMF), ensuring your program meets the highest standards while remaining practical for your operational reality.

What’s Included

AI Governance Policy Suite
Grid Sub-Title

Complete policy documentation that establishes your organization’s AI governance foundation:

AI Acceptable Use Policy — Clear guidelines on how employees can and cannot use AI tools, what data can be entered, and approval requirements for new AI systems.

AI Risk Management Policy — Framework for identifying, assessing, and managing AI-related risks aligned with NIST AI RMF.

AI Procurement & Vendor Policy — Requirements for evaluating, approving, and managing AI vendors and third-party AI systems.

AI Incident Response Policy — Procedures for responding to AI-related incidents including data exposure, system failures, and compliance violations.
Governance Structure & Accountability
Clear roles, responsibilities, and decision-making authority for AI governance:

AI Governance Charter — Establishes governance scope, authority, and organizational commitment to responsible AI.

Roles & Responsibilities Matrix — Defines who owns AI governance decisions, from executive sponsors to system owners to end users.

AI Governance Committee Framework — Structure for ongoing oversight, including meeting cadence, decision protocols, and escalation paths.
Risk Assessment Framework
Systematic approach to identifying and evaluating AI risks:

AI System Inventory Template — Standardized documentation for cataloging all AI systems with risk classifications.

Risk Assessment Methodology — Structured process for evaluating AI systems across privacy, security, fairness, transparency, and operational dimensions.

Risk Scoring Criteria — Consistent metrics for comparing and prioritizing AI risks across your portfolio.

NIST AI RMF Crosswalk — Mapping of your governance controls to NIST AI RMF requirements for compliance documentation.
Operational Procedures
Day-to-day processes that make governance operational:

AI System Approval Workflow — Step-by-step process for requesting, evaluating, and approving new AI tools.

Vendor Due Diligence Checklist — Standardized evaluation criteria for AI vendors covering security, privacy, and contractual requirements.

Monitoring & Review Procedures — Ongoing oversight activities including periodic assessments, compliance checks, and program updates.

AI System Retirement Process — Procedures for safely decommissioning AI systems including data handling and documentation.
Training & Awareness Program
Education materials to ensure your team understands and follows AI governance requirements:

Employee AI Awareness Training — Core training content covering AI risks, acceptable use, and individual responsibilities.

Manager/Supervisor Guidance — Additional training for those overseeing AI use within their teams.

AI Governance Quick Reference Guide — One-page summary employees can reference for common questions and escalation contacts.

How We Work

PHASE 1 Discovery	We learn your business, current AI usage, regulatory environment, and organizational culture. Stakeholder interviews, system discovery, and gap analysis establish the foundation for your program.
PHASE 2 Design	We develop your governance framework, including policies, procedures, and controls tailored to your organization. Collaborative workshops ensure the program fits your operational reality.
PHASE 3 Develop	We create all governance documentation, templates, and training materials. Every deliverable is customized for your organization—not generic templates with your logo slapped on.
PHASE 4 Implement	We help you roll out the program, including executive presentations, employee training sessions, and integration with existing processes. We don’t disappear after handing over documents
PHASE 5 Sustain	We provide ongoing support to ensure your program stays effective. Optional retainer services include quarterly reviews, policy updates, and guidance on new AI developments.

Who This Is For

AI Governance Program Development is ideal for organizations that:

Have no formal AI governance in place and need to build a program from scratch
Face regulatory pressure to demonstrate AI oversight (FTC, state laws, industry regulations)
Have experienced AI-related incidents and need to prevent recurrence
Want to enable responsible AI adoption without creating unnecessary bureaucracy
Need to satisfy customer or partner requirements for AI governance documentation

Expected Outcomes

Complete Visibility

Know exactly what AI systems are in use across your organization and who’s responsible for them.

Managed Risk

Systematic approach to identifying and addressing AI risks before they become incidents.

Regulatory Readiness

Documentation and controls that demonstrate compliance with current and emerging AI regulations.

Employee Clarity

Clear guidelines that help employees use AI productively while avoiding risky behaviors.

Vendor Control

Structured process for evaluating AI vendors and ensuring contractual protections are in place.

Incident Preparedness

Defined response procedures so your team knows what to do when AI-related issues arise.

Investment

AI Governance Program Development is a fixed-fee engagement, scoped based on your organization’s size, complexity, and current state. Most engagements range from 8-12 weeks from kickoff to implementation.

We provide detailed proposals after an initial discovery conversation so you know exactly what you’re getting and what it will cost—no surprises, no scope creep.

Ready to Build Your AI Governance Program?

Schedule a free 30-minute consultation to discuss your organization’s AI governance needs. We’ll assess your current state, identify key risks, and outline how a governance program can protect your organization.

Schedule Your Free Consultation

Related Services

Fractional AI Governance Officer — Ongoing governance leadership and program management

AI Risk Assessment — Deep-dive assessment of specific AI systems or your complete AI portfolio

AI Training & Awareness — Custom training programs for employees, managers, and executives