The choice of API or SDK to connect AI models with RPA platforms such as UiPath or Automation Anywhere depends on your project’s objectives. I am sharing the following points, based on my personal experience, that have always helped me in the dilemma of choosing the best APIs to connect AI models with RPA tools.
1. OpenAI API (GPT Models)
This option is best suited for text-heavy automation tasks, such as summarizing content, extracting insights, or generating dynamic responses. UiPath supports OpenAI through native integrations, and developers can also connect using HTTP requests or the UiPath AI Center for advanced workflows.
2. Microsoft Azure AI and Cognitive Services
A strong choice for teams already using Microsoft tools. It provides APIs for text, speech, and image processing that can easily integrate into RPA workflows with minimal configuration.
3. Google Cloud Vertex AI
A reliable solution for scalable enterprise applications. It connects with UiPath or Automation Anywhere through REST APIs or custom connectors, allowing smooth data exchange and model deployment at scale.
4. Hugging Face Inference API or Local Models
An excellent option for businesses with strict privacy needs. These models can run on-premise or within private clouds, communicating with bots through secure endpoints.
5. Automation Anywhere IQ Bot and AI Extensions
This platform provides advanced document understanding, cognitive data extraction, and seamless integration with external AI systems, including GPT, Azure AI, and custom ML models. It helps businesses combine automation with true intelligence.
If you still encounter a problem after taking these steps. In that case, you can consult an experienced AI automation agency that can guide you to select the right tools, set up integrations, and ensure your RPA and AI systems work together to maximize efficiency and accuracy.
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