FinTrack Pro

FinTrack Pro's enterprise onboarding process required compliance teams to manually review KYC documents — passports, business licenses, proof-of-address filings — a process that stretched to 14 days per enterprise client and created a bottleneck ahead of every new contract signing. Every document type came in a different format, and reviewers needed to check the same fields for accuracy, expiration, and forgery in each one.

We started by auditing a year of processed applications and cataloguing which fields reviewers actually checked, which document types caused delays, and where existing automation already helped versus adding friction. That data became the foundation for a model trained specifically on FinTrack's document types, rather than a generic KYC vendor tool that would need retraining line-by-line.

We built a document-processing pipeline combining OCR extraction with a fine-tuned classification and validation model that reads uploaded documents, cross-checks extracted fields against the applicant's submitted data, and flags mismatches or signs of tampering for human review. Documents that pass every check clear automatically; only genuinely ambiguous cases route to a compliance officer, with the model's confidence score and reasoning attached so reviewers aren't starting from scratch.

Time-to-value for enterprise clients dropped from 14 days to under 8 hours, cutting onboarding time by 40% overall. Conversion through the onboarding funnel rose 2.1x as fewer applicants abandoned the process waiting on manual review, adding an estimated $1.2M in incremental revenue in the first year. As CTO Sarah Chen put it, the team understood FinTrack's compliance requirements instantly and delivered a solution that exceeded every KPI.