An AI Fintech Factory is a delivery model that starts with the business problem and data—not with model selection. It identifies suitable use cases, prototypes them, evaluates against real criteria, integrates into workflow and adds controls/operations before production.
Discover
Understand the pain point, workflow, users, data and desired outcome.
Prototype
Build a PoC small enough to learn quickly but realistic enough to support a go/no-go decision.
Evaluate
Measure against work-specific acceptance criteria such as accuracy, completeness, latency, review effort or error types.
Industrialize
Add API integration, identity, logging, monitoring, release controls and human review so the solution can operate inside a business workflow.
Frequently asked questions
Which model should we start with?
Start with the use case, data and acceptance criteria, then benchmark suitable models.
How long should a PoC take?
There is no universal duration. It depends on data, integration and risk. The important part is a clear decision gate defining what the PoC must learn and what decision follows.
Should every PoC go to production?
No. Stopping a use case that fails its criteria is a valuable outcome because it avoids unnecessary production investment.