ENTERPRISE GOVERNANCE
Deploy AI across finance without surrendering financial control.
Govern providers, models, workflows, permissions, approvals and financial authority across FinanceGPT while preserving clear evidence, segregation of duties and auditable boundaries between intelligence and execution.
- CIO & CTO Offices
- CRO & Risk
- AI Governance
- Model Risk
- Security & Compliance
- Audit & Platform Administration
ENTERPRISE OUTCOMES
Use governance to enable AI adoption without weakening financial controls.
FinanceGPT treats model access, workflow permissions, application identity and financial authority as related but distinct control domains.
Govern AI providers and usage
Define Managed AI, BYOK and model-use boundaries with workspace policy, usage controls and provider separation.
Control model and workflow change
Use evaluation, promotion, versioning, review and evidence processes before governed models or workflows reach production use.
Preserve financial authority
Keep analysis, application identity, workflow execution and financial transaction authority as separate control domains.
Reconstruct what happened
Use evidence, audit history, action state and assurance records to support oversight and independent review.
GOVERNANCE LIFECYCLE
Policy, review, authority and evidence remain explicit.
The governance experience is organized around the questions enterprise teams already ask: which providers and models are allowed, what automation can do, who can approve, what authority exists and how the organization proves what happened.
Propose→ Control→ Approve→ Authorize→ Submit→ Reconcile
Define enterprise policy
Establish roles, provider permissions, model boundaries, workflow controls and financial authority rules.
Review providers and credentials
Separate FinanceGPT Managed AI, permitted BYOK connections, scopes and credential lifecycle from business permissions.
Evaluate models
Use LQM and QLM evaluation, evidence, promotion, drift and lifecycle controls before approved use.
Govern workflows
Review version changes, permissions, integrations, AI-provider changes and Financial Action impact before production promotion.
Apply human approval and authority
Require appropriate review, segregation of duties, limits and scoped authority for governed financial activity.
Monitor operational exceptions
Surface pending reviews, access issues, model drift, workflow changes and Financial Action exceptions that require attention.
Audit evidence and outcomes
Reconstruct data, computation, AI, user, approval, submission and reconciliation events from available evidence.
CONTROL DOMAINS
Govern AI, models, workflows, access and Financial Actions from clear control boundaries.
AI provider governance
Manage FinanceGPT Managed AI, optional BYOK providers, feature restrictions, usage controls and provider boundaries.
ReviewModel governance
Evaluate, approve, promote, monitor, suspend and retire LQM/QLM assets with evidence and lifecycle controls.
ReviewWorkflow governance
Control workflow testing, review, immutable production versions, change evidence and promotion boundaries.
ReviewFinancial authority
Separate proposal, control, approval, authorization, submission and reconciliation across Financial Actions.
ReviewSecurity & access
Keep workspace roles, permissions, credentials, production entitlement and access review distinct from user experience preferences.
ReviewEvidence & assurance
Inspect public trust evidence, hashes, model evidence, workflow records and governed action history where available.
ReviewDeveloper governance
Review application identity, scopes, sandbox and production boundaries, integration evidence and certification readiness.
ReviewFinancial Actions assurance
Review the public assurance model for approvals, authority, provider submission and reconciliation.
ReviewGOVERNANCE WORKFLOWS
Review the decisions that change production or financial authority.
Approve an AI workflow for production
Inspect changed nodes, permissions, providers, integrations, evidence and financial impact before promotion.
Review model governance state
Track evaluation evidence, approval state, drift, expiry and allowed task families for quantitative and language models.
Review a high-value Financial Action
Apply policy, segregation of duties and required human approvals without allowing AI to self-authorize.
Prepare an audit reconstruction
Trace source, computation, AI output, human edits, approvals, provider submission and reconciliation where evidence is available.
TRUST MODEL
AI can prepare work. It cannot make itself an authorized financial actor.
Authority is explicit
AI, application identity, workflow permissions and financial transaction authority are separate controls.
Change is governed
Production model and workflow changes can be subjected to evaluation, review, version and promotion controls.
Evidence supports oversight
Governance surfaces source, model, workflow, approval and action evidence rather than forcing reviewers to reconstruct state from raw logs alone.
Financial authority remains separate
Provider access, model permission, API credentials, workflow execution and a commercial plan do not become payment, trading or other transaction authority by themselves. Financial Actions remain subject to dedicated policy, permissions, approval, authorization, provider submission and reconciliation.
FAQ
Enterprise governance on FinanceGPT.
Can FinanceGPT use customer-managed AI providers?
FinanceGPT supports optional BYOK provider connections in addition to FinanceGPT Managed AI, subject to workspace policy, provider configuration, credentials, model permissions and the capabilities enabled for that workspace.
Does enabling AI give a model financial authority?
No. Model access and financial authority are separate. Financial Actions require their own controls, approvals, authorization and provider or integration path.
How are models and workflows governed?
FinanceGPT includes model evaluation and lifecycle controls plus workflow testing, review, promotion and evidence patterns. The exact controls available depend on workspace permissions and configured capabilities.
What evidence is available for enterprise review?
FinanceGPT exposes Trust Center and enterprise evidence surfaces and can retain source, model, workflow, approval, Financial Action and reconciliation evidence where the relevant capability produces it.
Scale FinanceGPT across finance with governance that remains visible and auditable.
Use enterprise controls to expand AI, models, workflows and financial operations while preserving explicit permissions, human authority and evidence.