Evidence-backed profiles for every business borrower, kept current between reviews.
Consolidate financials, ownership, internal exposure, and external risk signals into evidence-backed business profiles and monitoring alerts.
- Industry
- Banking & finance · Global banks and NBFCs
- Category
- Credit & business risk
- Buyer
- Head of credit risk or chief risk officer
- Deployment
- On-premises or private cloud, inside the bank's network
Profiles assembled by hand at review time, then left alone until the next one.
Credit analysts build each business profile from financial statements, ownership and group structure, the bank's own exposure across products, and external signals such as filings, legal notices, and news. Each review takes days, and most borrowers are only reviewed once a year.
Between reviews the picture goes stale. A director change, a group company in difficulty, or weaker accounts filed mid-year can go unnoticed until the next cycle, or until the account is already in trouble.
From your data to a decision a person can check.
- 01
Gather
Connect to financials, ownership registries, internal exposure systems, and external signal feeds, normalised per borrower.
- 02
Profile
A locally deployed language model extracts the facts that matter and assembles a structured profile, with every statement linked to its source.
- 03
Check
A verifier scores each extraction against a standard agreed with your analysts. Anything below the bar goes to a person with the reasoning attached.
- 04
Monitor
New documents and signals are compared against the last profile, and material changes raise an alert with the evidence behind it.
Target outcomes for a first deployment.
Targets based on comparable workflows. Each one is confirmed against your own baseline during the pilot.
- Faster reviews
- Clearer risk visibility
- Earlier identification of changes
- Profiles are inputs to analyst and committee decisions, never decisions themselves
- Every statement traceable to a source passage
- Model inventory, evaluation records, and decision logs for model validation
One workflow, measured against your baseline.
One lending segment and a sample of live borrowers, profiled in parallel with the current process.
Read the Business Risk Profiling case study- 01Analyst time per review
- 02Completeness and accuracy against analyst profiles
- 03Time from a new signal to an alert