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Case Study · FinTech · RPA + Automation

Credit Repair at a Scale No Human Team Could Match

A credit repair platform where RPA and automation carry the manual workload: analyzing credit reports, preparing disputes, and submitting forms around the clock, while brokers and their clients watch every step through dedicated portals.

RPA AutomationDeterministic AnalysisBroker PortalClient Portal24/7 Operation
6 hrs → 5 minsTurnaround time per client case
70xThroughput increase, same team size
95%Reduction in submission errors
The Challenge

Hours of expert work, repeated for every single client

Repairing one client's credit means reading a dense credit report line by line, spotting inaccurate or unverifiable items, building a dispute strategy, and filling out submission forms, one bureau, one creditor, one form at a time.

Done by hand, that cycle took a trained specialist up to six hours per client, and every extra hour was an extra chance for a typo, a missed item, or an inconsistent filing. Growth meant hiring; hiring meant more variance, not less.

Six hours per clientReport analysis, dispute strategy, and form submission consumed a full specialist workday for every new case.
Errors compounded at volumeManual form-filling across bureaus and creditors meant typos and missed items, each one delaying a client's result.
Growth meant headcountEvery new batch of clients required hiring and training more specialists. Capacity scaled linearly with payroll.
No visibility for anyoneBrokers couldn't see case status without asking; clients couldn't see progress at all. Trust ran on phone calls.
The Solution

A digital workforce that never sleeps

RPA bots take a case from raw credit report to submitted dispute in minutes: deterministic extraction and analysis, verified by expert human review, with every step visible to the broker and the client as it happens.

0:00
Case openedThe moment a broker onboards a client, credit reports are pulled from all three bureaus automatically. No data entry, no waiting for a specialist to pick up the file.
All bureausZero data entry
0:30
Bots extract and analyze the reportBots extract every tradeline, collection, and inquiry and run deterministic, rule-based analysis: the same input always produces the same result. No AI guesswork anywhere in the decision path.
Deterministic analysisRepeatable results
1:30
Dispute strategy assembled, expert reviewItems are prioritized by impact and dispute letters are prepared using the same proven logic on every case. Then an expert human reviews the automation's work and approves before anything is filed. Judgment stays with people.
Impact-rankedExpert human review
3:00
RPA files everythingBots fill and submit dispute forms across bureaus and creditor systems: the same form, perfectly, every time, whether it's 2 PM or 2 AM. No typos, no fatigue, no Monday backlog.
24/7 operationZero typos
5:00
Case live and trackedEvery bureau response and score change is captured automatically and surfaced in both portals. Improvement is measured, not assumed. What took a specialist six hours is done.
Score trackingVisible in both portals

P.S. That timeline reads in minutes, not hours. The six-hour manual cycle now fits between two sips of coffee.

Two Portals, One Truth

Brokers manage. Clients watch their score climb.

Automation is only trustworthy when you can see it working. Both sides of the business get a live window into the same pipeline: no status calls, no spreadsheets, no "let me check on that."

Broker Portal
Full client book at a glance: status, stage, and next action for every case
New client onboarding with automated report pull and analysis
Dispute review and approval before anything is filed
Performance dashboards across all active cases
Client Portal
Live case status: what was found, disputed, and resolved
Score history charted as bureau responses arrive
Secure document upload and messaging in one place
No status calls needed, the portal always knows
The Results

Before the bots. After the bots.

6 hoursof a specialist's day, per case
5 minutesAccelerated Turnaround Time: done before the coffee cools
1 caseat a time, capacity bound to payroll
70x throughputSame team, seventy times the clients. Capacity scales with software
Typos & misfilesevery manual submission a chance for error
95% fewer errorsBots don't mistype account numbers. Submission errors all but disappeared

Measured, not promised. Before going live, the automation ran against thousands of historical cases through our proprietary benchmarking platform: bot output compared to specialist output line by line, dispute by dispute. Only when the bots matched or beat human accuracy on every category did the system earn production status.

Drowning in repetitive, high-volume work?

If trained people at your company spend hours on work a bot could do in minutes, let's talk about what RPA and automation could free them up for.

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