University of Wisconsin–Madison

AI-Tech for Enterprise Steering Committee

Guiding next-phase AI at UW–‍Madison

The AI-Tech for Enterprise Steering Committee provides strategic leadership for the adoption, investment and governance of artificial intelligence initiatives across UW–‍Madison’s administrative units.

The committee includes representatives from administrative units, including Finance, Human Resources, Facilities, Information Technology and more. Its role is to coordinate AI enterprise management, help administrative units assess AI tools, and make decisions aligned with institutional priorities. Enterprise administration is one component of UW–‍Madison’s broader AI strategy, which also covers teaching and learning, research, and everyday-use applications.

It reports to the Vice Chancellor for Finance & Administration (VCFA) and works closely with the Division of Information Technology (DoIT), the Office of Data, Academic Planning & Institutional Research (DAPIR) and the Operational Excellence Advancement Program (OpEx).

What the committee does

The committee advises university leaders on AI strategy and investments, reviews AI proposals from administrative units and helps ensure that AI tools and platforms align with institutional priorities. It also supports AI literacy across administrative units and serves as a shared forum for best practices, emerging trends and implementation challenges.

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Committee responsibilities

Review AI projects for alignment with institutional goals and enterprise-wide relevance.

Endorse projects that require financial and resource commitments.

Focus on high-impact projects and help units make informed decisions about AI adoption.

Recommend approved platforms to prevent tool sprawl and clarify appropriate uses of AI in administrative work.

Core principles

Clear communication

The committee sets clear expectations and safety measures while balancing flexibility with accountability.

Coordination, not gatekeeping

The committee drives innovation across campus by investing in shared solutions that unite efforts.

Influence-based authority

The committee works through recommendations rather than mandates and shares ideas broadly across the institution.

Responsible transparency

The committee encourages shared responsibility for AI use to maximize benefits and reduce risks.

Meet the team

Co-chairs

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Committee members

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Sponsors

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