About the Author

Oliver A. Ellison is a software architect, AI engineer, app builder, and founder whose career has given him a close view of a problem that became harder to ignore as software became easier to build: technically good products do not automatically become good businesses.

Over the course of his career, Ellison has designed and delivered software and artificial intelligence systems across healthcare, consulting, and large-enterprise environments. His work has ranged from rapidly building new AI applications to designing production systems where security, reliability, integration, human oversight, and operational ownership matter just as much as whether the technology works in a demo. His professional experience has included roles with Optum, PwC, and Denali Advanced Integration, as well as his work as founder of Reliable AI Network, Inc.

That technical career gradually pulled him toward a different set of questions. Why could an application earn enthusiastic users and still struggle to earn revenue? Why did the buyer who looked perfect on an organizational chart sometimes turn out not to be the person who cared enough to act? When did a feature request justify weeks of engineering, and when was it simply a request? Why could a strong enterprise demo stall over trust rather than product capability? Why could an app attract attention without developing a reliable path to customers? And why did some products succeed at getting people to pay only to lose them after the purchase?

Working through those problems with software teams, founders, and his own products changed the way Ellison thinks about building. He became increasingly interested in the commercial system surrounding the code: the buyer, the economic problem, the offer, price, commitment, trust, distribution, activation, retention, and the evidence that tells a builder which of those is actually failing.

Today, through Reliable AI Network, he continues to build applied AI products and work with app builders on the difficult stretch between shipping software and building something people will reliably pay for. He is also the creator of Make it RAIN, software developed to help builders investigate that commercial side of their products.

Ellison holds a master’s degree in software development and has served as a graduate-level machine-learning facilitator at Boston University. He is also the author of several books on applied artificial intelligence and AI-driven organizations.

Before his technology career, Ellison served as a U.S. Army combat medic, including two deployments to Iraq.

Great App. Bad Business. brings those parts of his career together. It is written from the perspective of a builder who respects how difficult it is to make software work, but who has learned not to confuse that achievement with evidence that a business works.

His central argument is simple: shipping creates a product. What buyers do next tells you whether you have a business.