Credit reports, read at scale.
A debt reconciliation and credit legal firm had skilled legal staff trapped in manual review. This system turns raw credit bureau data into legally relevant summaries and recommendations before anyone ever opens the file.
The problem
Case volumes were climbing, and every case needed a detailed credit report interpretation before legal proceedings could start. Hundreds of hours a week went into reading credit data, spotting issues and writing summaries by hand. Skilled legal staff were trapped in manual work.
The bottleneck slowed case turnaround and kept legal professionals off strategic work, and the only way to scale was hiring more costly specialists. The question the firm put to us: how do we interpret complex credit reports at scale without hiring more specialists or slowing down case handling?
The system
Flairr built a custom automation that processes raw credit bureau data into structured, legally relevant insight. It identifies accounts, disputes, inconsistencies and potential legal actions, then generates a clear summary and recommendations.
It slots into the firm's existing workflow without operational changes. Nobody works differently; the reading just stopped landing on their desks.
Guardrails
Every interpretation traces back to the source data, and the summary and recommendations are a starting point for product recommendations, not a replacement for it.
- Industry
- Finance & Legal · Debt reconciliation
- Engagement
- Custom build
- Timeline
- 1 month to production
- Works inside
- Credit bureau data, case management
- Services
- Operational AI System
From raw data to legal insight.
Ingest
Raw credit bureau data comes in for every new case, with no manual pulling or re-keying.
Interpret
The system identifies accounts, disputes, inconsistencies and potential legal actions in the data.
Recommend
A clear, structured summary is generated for the product recommendations, consistent from one case to the next.
Review
Legal teams pick up at the product recommendations. Sign-off stays human before any product recommendations are made.
What the client got back.
Of weekly interpretation work taken off the legal team. Case throughput went up without a single new hire.
Saved every year against the specialist hiring the old process was about to force.
ROI on a build that went live one month after kickoff, with accuracy and consistency held across every case.