Notes on document intelligence, AI extraction, and compliance — written for founders and operators running a startup company, not a platform team.
Reading every clause by hand made sense when a startup signed five contracts a year. At twenty a month, it's the single slowest step in the deal pipeline.
Read post →A shared drive is free and familiar. For a startup company with real document volume, the cost shows up later than you'd expect — in search time, not storage bills.
Read post →The gap between a working extraction demo and a production document AI feature is where most startup timelines quietly slip. Here's the checklist we walk every new team through.
Read post →Seat-based pricing was built for tools people log into. Document AI is infrastructure that runs whether or not anyone opens the app — pricing it per seat misses the point entirely.
Read post →There's no universally correct stack for document AI — only the one that matches your actual document volume today, not the enterprise scale you're hoping for in two years.
Read post →Accuracy is the metric most document AI startups discover they should have been measuring per-field, not per-document, the week after launch instead of the week before.
Read post →Most startups don't have a compliance team until they need one urgently — usually right when their first enterprise customer asks for evidence they've had controls in place all along.
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