From credit risk diagnosis to performance analysis, with verifiable evidence
Connects policy documents with loan databases and market data, delivering risk diagnosis and performance analysis with verifiable grounds.
At a glance
One-sentence definition
A finance solution that connects credit, customer metadata, and transaction logs so targeting and limit/benefit calculations can be done in natural language.
Who it is for
Marketing, credit, and claims teams at banks, card issuers, and insurers, plus their data organizations.
Problem it solves
Customer-list work and policy lookup repeat, and information disagrees across departments.
Key capabilities
- ·Target customers with combined conditions
- ·Benefit amounts supported by policy and payment-log comparison
- ·Product guidance drafts that respect compliance rules
Environment, integrations, deployment, security
Customer and transaction databases, policy documents. On-premise and closed networks for financial-sector security.
Limitations
It does not automate credit scores or final claim decisions. A human-in-the-loop approval gate is assumed.
What we build first
A screen that connects credit and performance data with regulatory documents, showing the basis for risk diagnosis in one place
Challenges
Finance: Today's Challenges
Scattered Credit Information
Borrower details, collateral, and covenant terms are spread across systems and documents, making holistic risk diagnosis difficult.
Regulatory Compliance Burden
When supervisory rules or internal regulations change, affected products and processes must be traced by hand.
Performance Mart Query Bottleneck
Competitiveness and performance queries pile up in the data department, delaying business decisions.
Use Cases
Questions teams ask
Q.“Give me a comprehensive risk diagnosis of this loan”
Combines borrower financials, covenant documents, and market data to lay out the risk factors with evidence.
Q.“Show last month's top 10 branches by competitiveness metrics”
The performance mart's complex aggregation logic is interpreted by business rules, returning accurate rankings with the SQL as evidence.
Q.“Which products are affected by this regulatory amendment?”
Semantically links regulation provisions to product terms, automatically deriving the scope of impact.
Impact
What changes
Credit risk diagnosis
Performance query turnaround
Answer verifiability
Reference — Intelligent workspace contract won with a major financial institution; NL2SQL PoC accuracy verified with a Korean securities firm
Related pages
Finance — want to see it with your own data?
Tell us one task you want solved and where the data lives, and we will decide together where to start.