Enterprise AI management platform
Turn fragmented AI usage into a governed enterprise capability
Govern identity, policy, budget, routing, usage, and audit across global cloud and local models while preserving individual employee access.
Global models
Local models
The hard part is not the model alone
Fragmented identity
Personal subscriptions, team accounts, and API credentials are administered in separate systems.
Unattributed spend
Spend cannot be consistently attributed to employees, teams, projects, tasks, or outcomes.
Reactive governance
Security policies remain documents instead of becoming controls in model usage and workflows.
One governance control plane between models and the organization
AIPay provides the management platform and implementation services required to connect people, systems, and Agents to one governed AI resource layer.
Identity and access
Individual identities, role-based access, offboarding, and least-privilege controls.
Resources and budgets
Allocate quotas, budgets, and model access by organization and project.
Model routing
Route workloads by task, cost, availability, and data boundary.
Audit and reporting
Capture calls, policy events, cost, and execution history for management reporting.
Typical deliverables
- Current-state and architecture assessment
- Platform deployment and baseline configuration
- Identity, budget, and security policy setup
- Administrator enablement and operating guide
Who this is for
- Organizations with rapidly growing model and account spend
- Teams that need shared IT, security, and finance visibility
- Enterprises preparing to run Agents in business workflows
Next step