
AI Consulting
AI adoption is moving fast. Governance helps make sure your organization moves wisely.
Get StartedMany companies are already using AI in some capacity, whether through formal initiatives or individual employees experimenting with public tools. But without a governance strategy, businesses struggle to control risk, protect sensitive information, and ensure AI is being used accurately and in ways that are aligned with company goals.
How It Works
Our approach is designed to help your organization understand its current AI maturity, identify risks and opportunities, and create a governance framework that supports long-term success.
01
Evaluate your current AI usage, existing policies, technology environment, data practices, and organizational readiness. This helps uncover where AI is already being used, where risks may exist, and where governance gaps need to be addressed.
02
Define the policies, procedures, and decision-making structures needed to govern AI responsibly. This may include acceptable use policies, approval workflows, risk classifications, data usage guidelines, and employee expectations.
03
Align your AI strategy with security best practices, privacy requirements, regulatory considerations, and internal risk management processes. AI governance should work alongside your broader cybersecurity, compliance, and data governance efforts.
04
Communicate policies, educate employees, support responsible adoption, and refine governance practices as AI tools, regulations, and business needs evolve. Governance only works when people understand it.
Evaluate your current AI usage, existing policies, technology environment, data practices, and organizational readiness. This helps uncover where AI is already being used, where risks may exist, and where governance gaps need to be addressed.
Benefits
With the right governance framework in place, your organization can stay ahead while protecting data and creating consistent standards for responsible AI use.
Challenges
Organizations need clear policies, ownership, and oversight to reduce risk and keep adoption aligned with business goals. AI governance consulting helps identify gaps before they turn into bigger security, compliance, or operational challenges.
Employees may already be using AI tools without knowing what information is safe to enter, what outputs can be trusted, or which tools are approved for business use. Without clear policies, AI adoption becomes inconsistent and difficult to manage.
AI tools can introduce new risks around sensitive data, intellectual property, client information, and internal business processes. Organizations need governance practices that define how data should be handled, protected, and monitored when AI is involved.
AI governance requires collaboration across leadership, IT, security, legal, compliance, HR, and business units. Without defined roles and responsibilities, it can be difficult to determine who approves AI tools, monitors usage, evaluates risk, and manages change.
Experimenting with AI is one thing. Scaling it across departments is another. Organizations need a framework that supports innovation while creating consistency, accountability, and measurable business value.


Insights
AI doesn’t introduce entirely new security risks—it accelerates the consequences of long‑standing governance failures. Hear from Mike Noonan, Principal Consultant, AI, and Chad Adams, Consultant, Technology & Security, on developing AI security frameworks.
Learn More

AI governance impacts people, processes, data, security, compliance, and business strategy. Impact brings together expertise across business services to help organizations build governance frameworks that are practical.
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FAQs
Get answers to common questions about AI governance, including what it is, why it matters, and how the right consulting partner can help your organization build a practical framework for responsible AI adoption.
AI governance is the set of policies, processes, roles, and standards that guide how an organization uses artificial intelligence. It helps businesses manage AI-related risks, protect data, ensure responsible use, and align AI initiatives with business goals.
Data governance focuses on how data is managed, stored, accessed, and maintained. Security focuses on protecting systems, information, and users from threats. AI governance connects to both, but it specifically focuses on how AI tools are selected, approved, monitored, and used across the organization.
Yes, ideally. Governance should begin before AI is widely adopted so organizations can set expectations, reduce risk, and create a clear path for responsible use. However, if AI tools are already being used, it is not too late to create a governance framework.
AI governance consulting services help organizations assess current AI usage, identify governance gaps, develop policies, align AI adoption with security and compliance requirements, and create a practical roadmap for responsible AI use.