The short answer
An OpenAI integration can place an AI step inside an application or workflow. We define the job, the information it may receive and the checks needed before its output is used.
Give the AI step a defined responsibility
A process might need a draft summary, a suggested category or information extracted for review. Define that responsibility separately from fixed rules such as required fields and calculations.
The rest of the workflow should know what to do if an input is incomplete or the result does not meet the agreed checks.
Build around the person doing the work
An internal tool can present the source material, the proposed result and an approval step together. Access and review should make sense to the people using it.
We assess the existing systems, build the agreed connection and test representative tasks. Specific product choices and data arrangements are checked for the implementation.
Plan how it will be operated
Decide who maintains instructions, who checks results and who investigates a failed connection. Keep a record of the sources and rules the workflow relies on.
OpenAI is one technical specialism. The business outcome and operating responsibilities remain the starting point for our work.
Official product information
Product capabilities and access depend on the current provider documentation and your account.
Put this into practice
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