Jason Tan turns bottlenecks into working AI products

I am the Chief AI Officer at Ascendnce. We build AI agents that scale revenue without adding headcount, automating real operations like lead research and email triage.

Previously, I grew Engage AI to 100,000 users and built pricing systems for major insurers. After 20 years in data science, I prefer execution over theory. I map business workflows to prove financial cases and build actual technology.

In this course, I teach engineers and corporate employees this approach. You will learn to identify expensive bottlenecks, work backwards, and rapidly prototype a functional AI product. You leave with the frameworks and a working AI prototype to become an internal product leader.

Subscribe for practical frameworks on building AI products.

• Substack