AI and data governance support
AI governance support with clear owners and review decisions
Give your AI program a defined governance support role. Scope project or fractional specialist support with Infinity Cyber Advisors (ICA) to organize AI use, document approval paths, and keep policy and risk decisions connected to accountable owners.
MIS
CISSP
CHISL
CPHIMS
CDH-E
Will Long Sr. · Founder
MIS · CHISL · CDH-E · CISSP · CPHIMS
Nearly 40 years in IT & cybersecurity
Former VP & CISO, Children’s Health System of Texas
Tim Pelikan · Co-Founder
Credential details pending confirmation
30 years in cybersecurity & data risk
Interviews & industry conversations
Coffee With Closers
Cybersecurity With Discern
“ICA provides distinctive security professionals who excel at building strong client relationships, demonstrate exceptional organization, and deliver practical, risk-based consulting recommendations to our clients.”
Michael Cox, CIPP/US
Chief Privacy Consultant & Founder, SoCal Privacy Consultants
Partner endorsement of ICA’s advisory work
When AI adoption gets ahead of review capacity
An AI program can grow through employee tools, vendor features, and business-led pilots. Each use introduces questions: Who owns it? What data does it involve? Who reviews a change before the team expands its use?
For CIOs, CISOs, privacy leaders, and AI program owners, the capacity gap often sits between those questions and a documented decision. Policies may exist while reviews accumulate or ownership remains unclear. A scoped specialist role helps maintain the records and coordination your governance process needs to function.
Build a working process around AI use
An inventory tied to responsible owners
Organize the agreed AI uses into a working inventory. Record the business purpose, responsible owner, relevant data, and review status. Agree which uses belong in scope so the inventory supports actual oversight rather than an unbounded collection exercise.
Review paths teams can follow
Document how a proposed use moves to review, which stakeholders contribute, and where approval authority sits. Identify unresolved questions and escalation points. A review workflow gives owners a shared process for reaching and recording decisions.
Policy drafts grounded in the work
Support policy drafts that address the AI uses and data concerns in scope. Connect proposed expectations to named responsibilities and the review workflow. Your policy owners review the drafts and authorize adoption through your organization's process.
Reporting that brings open decisions forward
Prepare governance reporting on inventory coverage, review progress, and unresolved risks. Show where an owner or decision is still needed. Agree a reporting cadence that gives the program sponsor useful information for oversight and follow-up.
Outputs your governance team can use
Typical agreed outputs include:
An AI-use inventory with owners, relevant data context, and review status.
A documented review workflow with approval responsibilities and escalation paths.
Policy drafts for stakeholder review and organizational approval.
Governance reporting that tracks open questions, decisions, and follow-up work.
Agree the level of detail and maintenance responsibilities before work starts. An inventory needs an owner after its first version; a workflow needs people authorized to make decisions. Deliverables should fit those responsibilities and your existing working practices.
Define the role around your governance needs
Start by identifying the use cases, data, and business units that need support. Discuss your existing inventory, policies, review backlog, and accountable sponsor. This establishes whether the priority is a defined project or fractional support for an ongoing process.
The working agreement sets responsibilities, hours, review cadence, and outputs. Specialist capacity and relevant expertise must be confirmed for the proposed scope. Changes in use-case volume or governance needs should prompt a scope review.
ICA's agreed role supports documentation, policy drafting, and coordination. Your organization provides relevant information, access to owners, and timely stakeholder participation. Business leaders retain approval and risk-acceptance decisions; legal counsel remains responsible for legal advice.
A focused governance support engagement
This service provides capacity within an agreed role, distinct from a standalone assessment or an entire managed governance service. Data governance work is bounded by the agreed uses and information needs. Broader enterprise data programs and platform implementation require separate scoping. Model development, legal opinions, and formal certifications are excluded.
FAQ
Questions about AI and data governance support
Can we start with one team or a group of use cases?
Yes, the scope can focus on selected uses, data, and owners. Define how that work connects to the wider approval process and who maintains the records after the initial project.
Who approves an AI use or accepts its risk?
Your designated decision-makers retain that authority. The specialist supports the review process and records open questions or decisions. Scoping should identify the approvers and the route for escalating unresolved risks.
Does data governance mean a complete enterprise data program?
The focus here is the data context and ownership needed for agreed governance work. Enterprise-wide data cataloging, data-quality operations, and technology implementation are not automatically included in this role.
Can this support an existing governance team?
The role can be scoped around your team's backlog or recurring coordination needs. Agree how the specialist works with privacy, security, business owners, and policy approvers so existing responsibilities remain clear.
Is this a fixed AI risk assessment?
This page describes project or fractional role support with agreed outputs. A standalone assessment has its own defined review scope and findings. Technical model testing and assessment work would need separate confirmation and scoping.
How are duration and cost determined?
They depend on the use cases, data scope, review volume, and responsibilities agreed for the engagement. Hours and availability belong in the working agreement. Confirm scope and specialist capacity before committing to a delivery schedule.
Give AI governance work clear ownership
Identify the inventory, review, or policy work that needs dedicated attention. Discuss a support role with ICA around those priorities and the decisions your organization needs to manage.