You have dozens of models in production. Can you prove what each one decided?
Responsible AI, intelligent finance, and regulatory compliance — governed end to end.
In financial services, the model isn't the risk. Ungoverned models are.
- ✕Model risk management stretched thin across dozens of production models.
- ✕Every regulatory report needs a full decision audit trail — good luck reconstructing it.
- ✕Forecasting that's disconnected from the transactions actually happening.
Here's the control you've been asked for.
- Every model inventoried, governed, and explainable in real time.
- Regulatory audit trails produced on demand, not reconstructed under pressure.
- Forecast and live transactions reading from the same governed source.
The solutions behind it
Finance Intelligence
Finance Intelligence connects transactions, forecasts, and operational events in one governed context, with Osan running the transaction layer beneath it.
AI Governance
AI Governance connects every model to its owner, purpose, data, and policy — with OGEN maintaining the governance record underneath.
Security & Trust
Security & Trust applies identity, encryption, and auditability across the architecture — Godzilla guards the boundary, OGEN preserves the trail.
Proof over promises
Governance and audit aren't bolted on — they run continuously under every decision.
For CROs, model-risk, and finance leaders on the hook for every decision.
See where your model risk is exposed — before an examiner does.
Financial Services questions, answered directly
How does Yebo OS handle regulated decisions?
By design, not exception: risk classes route each decision to the authority your delegation framework names, AI contributions are recorded as proposals with their evidence, and the decision record shows rules applied and approver — the artifact supervisors and internal audit actually ask for.
Does it integrate with our core banking system?
Yebo OS works alongside core systems through controlled interfaces — reading context, writing authorized outcomes back through each system's own mechanisms. Core banking, the ledger and the screening stack remain the systems of record.
What about model risk management?
Models are selected per task and can run privately — including Yebo's own fine-tuned models on-premise or in a private cloud. Every model-influenced decision carries a record of the model's contribution, confidence and the human authority that accepted it, giving model-risk teams inspectable usage rather than a black box.
General questions about Yebo, Yebo OS, governance and deployment are on the central FAQ.