Most entrepreneurs and freelancers set their product or service prices by instinct rather than by calculation. This habit is costing them, but it can be fixed with AI.
1. Build tools instead of hiring for them first. Snowflake’s CEO, Sridhar Ramaswamy, stated that the distance between a data platform and a working application has collapsed, because anyone can now create an application in minutes rather than months. A young business owner can prototype a booking system, inventory tracker, or customer chatbot before ever paying a developer.
2. Use AI to find your real cost, not your assumed cost. Resonance’s CreateOne platform exists because most manufacturers price orders without knowing if they’re actually profitable. You can use AI to break down cost per product or transaction, then reprice or restructure based on what it shows, not on guesswork.
3. Combine unprofitable pieces into profitable ones. Two unprofitable orders could become highly profitable when run together or priced differently. Before assuming a product or client relationship isn’t worth it, you can use AI to model combinations rather than judging each in isolation.
4. Get frontline input into the system, not just management data. Grupo Beta’s COO, Rod Rozell, has said that AI used in isolated pockets by different teams loses most of its value. The businesses getting the most out of these tools are ones where planning, finance, and media staff all feed observations into the same system.
READ ALSO: 2027: Wike, Chinda, Others Hold Strategic Meeting in Spain Without Fubara
5. Track AI’s own cost before it tracks you. The pricing model for AI itself is going from flat fee to metered usage. If you build a product or workflow that depends on AI calls, it needs to monitor cost per use from day one, the same way it should be tracking cost per unit for its core product.
Ultimately, the real value of AI is not the tool itself; it’s the discipline of finally knowing your numbers and taking action fast once you do.
