BriefingRead case study
Centralize first. Buy the layer. Build the edge.
Why AI-native revenue teams centralize first, buy the context layer, and build their edge on top — co-authored with Kyle Norton, CRO at Lassie.
What actually happens underneath AI-native GTM.
Field reports from revenue teams running GTM on agents. Anonymized where it needs to be, named where it counts – real data, real consequences. See where the context layer earns its place.
Field reportRead case study
Claude Cowork is impressive — here's the infrastructure it assumes you have
A field report on the accuracy gap in AI revenue tooling and how a sourced semantic layer closes it.
Case StudyRead case study
You connected your stack to Claude and wrote the skills.
Most revenue teams stop there. FLiiP did too. What happened next follows four stages, and the last two are the hard part. This is the climb, stage by stage, and how FLiiP reached the top with Vasco.
Go from guesswork to GTM clarity in 30 days
Clean data, accurate forecasts, and a unified GTM team without extra headcount, dashboards, or delays.