Using AI for Data Migration Instead of Custom Parsers

The biggest friction point in adopting a new business OS is migrating legacy data. I initially started writing custom CSV parsers for QuickBooks, FreshBooks, and messy spreadsheets. It was miserable. Every tool exports data differently, and edge cases are infinite.

Then I realized I was solving the wrong problem. Instead of writing brittle regex rules, I built an AI-assisted migration engine into Soseki. By providing users with a strict JSON schema and instructing them to pass their messy PDFs or CSVs through an LLM like Claude or ChatGPT, the data structuring happens externally.

Soseki just ingests the resulting clean JSON. This completely eliminated the need for maintaining hundreds of import adapters and made onboarding infinitely smoother. It's a perfect example of using AI for heavy lifting while keeping the core application deterministic and reliable.