AI Chief: the investor story behind an AI sales assistant

This is the argument we make to investors, written out. It is deliberately short on adjectives: the interesting part of AI Chief is not the demo, it is what the demo implies about cost per resolved question.

The problem is boring and expensive

Shoppers abandon carts when they cannot get an answer about compatibility, returns or delivery. Rule-based chatbots do not read the catalog, and human support does not run at night. The cost shows up as abandoned carts rather than as a line in a budget, which is exactly why it goes unfixed for years.

Our wedge is that the same retrieval layer that answers a policy question also matches a product. One index, two jobs, and the second one is the one that pays.

Market and where we start

Global e-commerce keeps compounding, but we are not selling to all of it. The first two markets are the US and the UAE, where storefronts are large enough to feel support cost and small enough to decide in a week.

Business model

Tiered subscriptions with usage on top, priced against the cost of a support hire rather than against other chatbots. Revenue also comes from API overage, white-label licensing for agencies and custom enterprise deployments.

The round

We are raising a seed round to accelerate product work, build the go-to-market engine and reach the first fifty paying customers. We are looking for investors who have seen SaaS, AI infrastructure and retail from the inside.