What We Actually
Think About AI
No trend pieces. No hype. Just what we've learned building production AI systems — including the parts that didn't work.
When NOT to Use AI for Automation (And What to Do Instead)
The most expensive mistake isn't using the wrong model — it's automating the wrong thing. Here's the framework we run before any project starts.
The Real Cost of Manual Data Entry (You're Probably Underestimating It by 3×)
Most companies calculate their manual processing costs and get the wrong number — the visible hours are only part of it. Here's how to get the real one, with a worked example.
The Real Cost of AI Implementation: What Nobody Tells You Before You Start
The quote covers the build — but the build is only a third of what implementation actually costs. A practical breakdown of the hidden costs: data preparation, integration, change management, and ongoing maintenance.
Building Production-Ready Document Processing Pipelines
A technical walkthrough of the five layers every production document pipeline needs — ingestion, pre-processing, extraction, validation, and integration — and why demos fail where pipelines succeed.