AI GOVERNANCE
Govern AI usage across finance without treating model access as financial authority.
Define where AI can be used, which providers and models are permitted, how usage is controlled and how AI output remains separate from approvals and Financial Actions.
THE FINANCIAL PROBLEM
Why this use case matters.
Enterprise AI adoption becomes difficult to scale when provider access, model permissions, cost controls and financial authority are mixed together or managed outside the finance workflow.
OUTCOMES
What FinanceGPT helps the team achieve.
Separate Managed AI and BYOK policies
Retain evidence for model and provider activity
WORKFLOW
How the use case moves through FinanceGPT.
The sequence keeps analysis, deterministic calculation, AI assistance, human review and financial authority visible as separate responsibilities where they apply.
FINANCEGPT CAPABILITIES
Capabilities used in this workflow.
- Managed AI
- BYOK providers
- AI usage controls
- Model permissions
- Enterprise evidence
RELATED FINANCEGPT PATHS
Go deeper from this use case.
FAQ
AI GOVERNANCE with FinanceGPT.
Can FinanceGPT use both Managed AI and BYOK?
FinanceGPT supports FinanceGPT Managed AI and optional customer-managed provider connections, subject to workspace policy and configuration.
Does provider approval grant Financial Actions authority?
No. AI provider and model permissions are separate from financial authority.
Can AI usage be monitored?
FinanceGPT includes AI usage and provider-control capabilities for enterprise oversight.
Move from a financial problem to governed work in FinanceGPT.
Use the audience and platform paths to evaluate the capabilities, evidence and controls relevant to your organisation.