Organizational AI Use Landscape
AI Working Group Orientation Map
Many organizations respond to AI adoption by forming a working group. A landscape view helps that group clarify its role, organize early questions, and avoid becoming a catch-all committee without decision structure.
Purpose of an AI working group
An AI working group helps an organization coordinate awareness, guidance, training, and decision-making as AI use spreads across departments.
Its role is not only to approve tools. It can also help the organization understand where AI is already appearing, which questions need leadership attention, and where staff need practical support.
Core working group responsibilities
Map current use
Identify where AI is already being used through individual experimentation, team workflows, vendor tools, and embedded software features.
Clarify decision ownership
Determine which questions belong to leadership, IT, HR, legal, communications, procurement, or department-level managers.
Draft practical guidance
Create clear expectations for acceptable use, data handling, review responsibility, disclosure, and escalation.
Identify training needs
Map which groups need basic literacy, manager guidance, workflow support, or tool evaluation awareness.
Coordinate tool review
Support consistent evaluation of AI tools before departments adopt systems independently or duplicate similar experiments.
Monitor coordination risks
Watch for hidden adoption, inconsistent standards, unclear review practices, and fragmented tool environments.
Who may need to be represented
A working group becomes more useful when it includes people who can see different parts of the adoption landscape.
- executive or senior leadership sponsor
- information technology or security representative
- human resources or training representative
- legal, compliance, or records representative where relevant
- communications or public-facing content representative
- department managers from early adoption areas
- frontline or operational staff perspective
Avoiding committee drift
AI working groups can lose focus if they try to solve every AI-related question at once. A landscape map helps the group separate visibility work, governance work, training work, and procurement work.
This keeps the group oriented around decision flow rather than general discussion.
Useful working group questions
- What do we need to see first?
- Which risks require early guidance?
- Which decisions need leadership approval?
- Which staff groups need training first?
- Where are departments duplicating effort?
- What should be deferred until we understand more?
Relationship to the broader landscape
An AI working group can use the Organizational AI Use Landscape as its orientation structure. The map helps the group move from scattered awareness to coordinated decision support.