A company can use artificial intelligence not only to write long texts, but also to make hundreds of very small decisions: What category does a message belong to? Should a human review it? Where should a request be routed? On October 22, 2026, OpenAI announced the general availability of the Decisions API, a service designed for such cases.
How is it different from a regular chatbot?
A chatbot typically responds with free-form text, provides explanations, and engages in conversation. The Decisions API focuses on questions with limited, specific answer options. Instead of composing a long paragraph, it can select a category or determine whether a case meets a clear criterion.
For example, a customer service application could determine whether an incoming message concerns an order, a return, or a technical question. The final decision on sensitive actions can and should, where necessary, remain with a human.
What OpenAI Announced
According to the company, the service is based on GPT-6 Luna and offers up to ten times the speed compared to handling similar limited-scope questions via the Responses API using the same model, under the comparison conditions it presents. Actual performance varies by application.
The announcement also describes support for images, structured JSON data, prompt caching, and the ability to handle up to 400 questions per request. Options are included for keeping data processing within the U.S. and the EU, where applicable.
Where it can be useful
- Sorting communication messages by topic before they reach the appropriate department.
- Classifying non-sensitive records when consistent categorization is needed.
- Voice applications that need to respond quickly to clear choices.
- Checking whether content requires manual review based on predefined rules.
- Reducing latency in systems that require many small decisions in sequence.
Why This Matters to Small Businesses
A business doesn’t need to use APIs directly to see the importance of this development. The services it purchases or uses in the future—CRM, support, order management software—may incorporate such techniques for faster task categorization.
The financial benefit isn’t automatic. For an integration to be worthwhile, we need to know how many decisions are made, how much an error costs, and what percentage requires human confirmation.
The limits we must not forget
A quick result doesn’t necessarily mean it’s correct. When it comes to payments, entitlements, medical information, or other important decisions, special reliability checks, personal data protection, and a clear option for human intervention are required.
The Conclusion
The Decisions API points to a practical direction for AI: less focus on demonstrating impressive responses and more on integration into specific steps of real-world applications. Its value will be demonstrated through the proper design and oversight of the systems that will utilize it.
Original source: OpenAI, October 22, 2026.