I don’t doubt that in the next five years, conversational AI will become a normal part of how customers and partners interact with companies. A lot of those interactions will be conducted by a chatbot, voice agent, or avatar.
The question is whether these digital entities will carry the business personality, judgment, and ethos that you would expect from their human colleagues.
For business owners and executives, I think the answer has to be yes.
This is not just a technology issue. It also involves translating a company’s institutional knowledge into an AI workflow.
I’ve spent 30 years in sales, business development, operations, and partnership management. One thing I’ve learned is that how and when you say something can be just as important as what you need to say.
James and I believe this is the right approach to building a long-tail system that can address this challenge.
James brings 30 years of software development experience across enterprise systems, AI, and machine learning. I bring the perspective of someone who has worn many hats across sales, marketing, operations, partnerships, and executive management.
When we build CRSTBL, I’m constantly asking whether the product can actually work in a real business environment — not just in a demo, not just in a technical architecture diagram, and not just as an AI concept.
Our combined experience allows us to design solutions that are technically strong, operationally realistic, and scalable.
That is why I’m comfortable asking clients — regardless of industry or enterprise size — to work with CRSTBL.
We are still early in this effort. But I believe the companies that succeed will be the ones that understand AI conversations are not just about answers. They are about representing the business behind those answers.
That is the problem we are building CRSTBL to solve.
John Chang
Co-Founder & CEO, CRSTBL Inc.