The Screening-Writing Gap
Most 'AI tools' for technical documents are data retrieval systems. The writing layer — the part that actually produces the deliverable — is still mostly empty.
Most 'AI tools' for technical documents are data retrieval systems. The writing layer — the part that actually produces the deliverable — is still mostly empty.
Some documents appear in two distinct buyer clusters. That's not a complication — it's a signal worth paying attention to.
An absent AI tool is a necessary condition for opportunity. It's not a sufficient one. The buyer matters as much as the gap.
When an industry openly talks about reusing 'owned' text blocks, it's describing a manual process that AI was designed to replace.
When multiple document types share a buyer, which one do you build first? The answer isn't the biggest one.
Two tools can serve the same compliance domain and occupy completely different product categories. Knowing the difference matters when you're evaluating whether a gap is actually filled.
When a national lab is building a research tool for a workflow, it usually means two things: the problem is real, and no commercial solution exists yet.
When you search for a job title that sounds like it should be automated, you've found a workflow that hasn't been yet.
A Tier-2 opportunity isn't a failed search. It's a finding with weaker entry conditions. Knowing the difference changes what you do next.
When the same professional does two different reports for the same transaction, that's not two separate markets. It's one market with a bundling story.