Credit Strategy Simulator
Test credit policy changes against your portfolio before you roll them out.
Build intelligence. Create shared value.
AI offerings for banks and lenders, and a governed space where clients share market observations. Reviewed, de-identified learning shapes what Azentio builds next.
Try the sandbox
Synthetic banks and people. Pick a role; the sign-in code appears on screen because the sandbox sends no email.
Offerings
SME Credit Decisioning Workbench
Faster, explainable SME credit decisions with analyst oversight.
Similar Portfolio Intelligence
Compare portfolios against similar books to spot risk and opportunity early.
Financial Analysis Intelligence
Reads financial statements and cash flows, and explains the comparison it made.
Trust by design
Identity & SSO
Invited accounts only, with a single-use sign-in code. In this sandbox the code is shown on screen; production uses Microsoft Entra ID.
Role-based access
Every request is checked on the server: role, workspace and audience.
Auditability
Sign-ins, moderation, withdrawals and status changes go to an append-only log.
Data protection
Shared copies are de-identified. Tenant ids never appear in shared results.
Human oversight
Nothing leaves a client's organisation until a moderator approves a de-identified copy.
Secure deployment
Synthetic data, same-origin writes, strict cookies, nothing public by default.
Collective learning, governed
- Clients observe. Each client keeps observations private, inside their organisation, or proposes them for sharing.
- Moderators de-identify. Only proposed items reach review. The portal flags names, places and amounts, and refuses to publish while they remain.
- Themes need three organisations. A trend shows only when at least three different organisations contribute.
- Product owners close the loop. Ideas link to the evidence and show their status. Nothing is promised, and no model retrains automatically.