Shift platform
AI Governance
The control layer that makes enterprise AI adoption possible.
Shift's governance layer gives organizations centralized control over employee AI use — which tools and models are available, to whom, under what policies — with usage analytics and audit trails.
AI adoption fails at scale without governance — not because employees shouldn't use AI, but because unmanaged use creates security, cost, and compliance exposure. Shift was built around a simple principle: make the governed path the easiest path.
When employees get a genuinely better AI experience inside the governed workspace, shadow AI shrinks on its own — and the organization gets the visibility it needs.
What governance covers
- Tool policies — enable or disable AI tools per organization and department
- Model access — control which AI models each group can use
- Departments and roles — structure AI access around your org chart
- Usage analytics — adoption, activity, and estimated time saved per team
- Audit trails — records for regulated industries and internal review
- Cost control — pooled credits and budgets instead of scattered subscriptions
Frequently asked questions
- Can we disable specific AI tools for certain departments?
- Yes. Tool policies operate per organization and per department, so regulated teams get tighter controls while others get broader access.
- Does governance slow employees down?
- The opposite — employees get one workspace with every tool enabled for them, instead of juggling separate accounts and policies.