We’re thrilled to announce an AgilePoint’s AI and Machine Learning toolkit addition, that will transform how you integrate predictive AI into your business processes: introducing the AI Control Tower for Azure Machine Learning.
This exciting new feature is here to help you optimize decision-making, streamline operations, and reduce risks—all while maintaining governance, control, and fostering seamless human-AI collaboration.
Expanding the AI Control Tower: Now with Azure Machine Learning!
Just a few weeks ago, we introduced the AI Control Tower to AgilePoint with a series of informative videos that covered everything from a high-level overview to in-depth technical configurations for Predictive AI Agents and Image Classification Agents. If you have’nt seen this yet, we strongy encourage you to do so now.
We now have more news: the AI Control Tower is now fully compatible with Azure Machine Learning. This integration adds even more flexibility, allowing organizations using Azure to tap into the power of predictive AI without missing a beat.
How Does the AI Control Tower Work with Azure Machine Learning?
The AI Control Tower builds on AgilePoint’s robust Monitoring Activity framework and integrates seamlessly with machine learning services like AWS SageMaker and Azure Machine Learning. Whether you’re working with Azure or AWS, the Predictive AI Agents are configured the same way and provide identical functionality. The only difference? Use the AI Control Tower Predictive AI Agents corresponding to connects to either Azure Machine Learning or AWS SageMaker, depending on your preference and infrastructure. An off course, you can mix and match and use both, following on you AI worload.
Meet the Predictive AI Agents for Azure Machine Learning
The AI Control Tower Monitoring Activities—also known as Predictive AI Agents—are accessible through the Azure Machine Learning Actkivity Library in AgilePoint process desinger. Here’s a quick look at the four powerful Predictive AI Agents included in this release:
- Get Prediction: Retrieve real-time predictions to guide your workflows.
- Adapt Flow: Adjust processes dynamically based on predictive insights.
- Initiate SubProcess: Kick off related subprocesses when certain conditions are met, streamlining complex workflows.
- Send Notification: Stay informed with timely notifications triggered by AI insights.
And there’s more to come! Future updates will introduce additional capabilities, such as image classification agents, to further enhance what’s possible with predictive AI in AgilePoint.
Ready to Get Started?
If you’re ready to dive into the future of business process automation with the AI Control Tower, watch the video below. We also encourage you to check out the original video series, which provides a comprehensive guide to setting up and configuring AI Control Tower AI Agents. Whether you’re a technical user or just looking to understand the high-level benefits, these videos have something for everyone.
Closing Thoughts
At AgilePoint, we’re committed to pushing the boundaries of what’s possible with AI and machine learning. The AI Control Tower for Azure Machine Learning represents a significant step forward in that mission, providing organizations like yours with the tools needed to leverage predictive AI without sacrificing control or oversight.
As we continue to develop new features and expand our AI toolkit, we’re excited to see how AgilePoint users will innovate and unlock new efficiencies with the AI Control Tower.
Stay tuned for more updates, and as always, feel free to reach out if you have any questions.
Let’s embrace the future of AI-driven automation—together!