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The payments giant has opened access for small businesses to an artificial intelligence ecosystem capable of making purchases independently. What this means for entrepreneurs and how to make money from it.
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What happened
Visa has introduced a fundamentally new solution for small businesses — a platform that connects small companies to an ecosystem of AI agents. These agents are autonomous artificial intelligence systems capable of independently analyzing consumer needs, comparing offers, and making purchases on their behalf.
The key feature of the solution is that it does not require businesses to develop their own AI systems: it is enough to integrate Visa's payment infrastructure, and the company automatically becomes part of a network where algorithms act as intermediaries between seller and buyer.
In essence, Visa is creating a new distribution channel in which the purchase decision is made not by a person, but by a machine.
How this is useful for business
For small and medium-sized companies, this means access to an audience that previously could only be reached through expensive advertising campaigns. AI agents work continuously, analyze huge volumes of data about user preferences, and make decisions instantly. This radically shortens the sales cycle: if previously a customer studied a product for several days, now an agent can place an order within seconds after identifying a need.
For businesses, this is also an opportunity to reduce customer acquisition costs — algorithms find interested buyers themselves, rather than the other way around. In addition, integration with the Visa payment system guarantees transaction security and instant crediting of funds, which is critically important for the cash flow of small companies.
How to make money from this
The monetization mechanics are built on several levels. The first is direct sales through the AI channel: a company receives orders from agents acting on behalf of consumers and automatically processes them through the Visa API. The second is participation in an affiliate program: a business can offer its goods or services to other AI agents, receiving a commission for each transaction they initiate. The third is analytics: data on AI agent behavior makes it possible to optimize pricing and assortment, increasing margins.
Finally, the fourth level is creating niche solutions for specific industries: for example, AI agents for ordering building materials or wholesale batches of goods, where the commission from a single transaction can amount to hundreds of dollars.
Business ideas
- Niche marketplace for AI agents — create a catalog of goods and services optimized for recognition by AI systems, with automated pricing and payment integration. Monetization: 5-15% commission from each transaction initiated by an agent.
- Consulting on integration with the AI channel — help companies adapt product descriptions, catalog structure, and order processing workflows for working with AI agents. Monetization: a one-time project from $2000 to $10000 depending on the scale of the business.
- Aggregator of data on AI agent behavior — collect and analyze information about which products algorithms search for, which prices and terms they prefer, and sell this data to retailers. Monetization: subscription from $500 to $3000 per month.
- Reputation management platform for the AI era — a service that helps companies build a “digital reputation” understandable to AI agents: ratings, reviews, certificates in a format that algorithms read. Monetization: subscription fee of $200-1000 per month.
- Product card optimization service for AI search — rewrite product descriptions, names, and specifications so that AI agents, not people, find them. Monetization: from $50 per product for bulk processing to $500 for an individual catalog audit.
Risks and limitations
The main risk is dependence on a single platform. If Visa changes the terms or promotion algorithms, a business may lose access to the channel with no possibility of migration. The second risk is the unpredictability of AI agent behavior: they may suddenly switch to a competitor or start promoting substitute products if they consider them more beneficial for the user.
Technical limitations are also significant — not all industries are equally well suited to automation: complex services, products with a strong emotional component, or those requiring physical fitting are poorly suited to AI sales. Finally, regulatory uncertainty — legislation regarding AI agents is only taking shape, and future restrictions may significantly change the rules of the game.
7-day action plan
Day 1: study Visa's developer documentation and understand the technical integration requirements. Day 2: analyze competitors in your niche that are already working with the platform, and assess their assortment and pricing. Day 3: adapt at least 20 product items for the AI format — add structured specifications, clear names, and relevant keywords. Day 4: integrate the payment API and test a transaction on behalf of an AI agent.
Day 5: launch a pilot campaign with a minimal budget and track the first orders. Day 6: collect data on agent behavior and adjust prices or descriptions based on the insights received. Day 7: make a decision on scaling — if the pilot showed positive unit economics, increase the number of products and launch a full integration.
Original news: Small Business Trends · See other news in the news section.
