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Apromore named a Leader in the 2025 Gartner® Magic Quadrant™ for Process Mining Platforms — for the third consecutive year

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3. Training AI Agents with Actions using Task Mining In Real-Time


Once the tasks suitable for automation have been identified and the impact of automating them has been assessed via simulation, Apromore's task mining can be used to discover how these tasks are truly performed by users. Once AI agents are operational, Apromore’s real-time monitoring ensures the agents are aligned with process performance objectives. 

  • Apromore's task mining technology reveals how work really gets done: Lightweight digital probes mine all the actions users take on their workstations to perform a task, mapping end-to-end user routines.

  • Simulation fine-tunes these routines: Before agents are trained, simulation fine-tunes these user routines to ensure agents learn not just how to automate the task, but how to do it in the most efficient, optimized way possible.

The result? Smarter automation. Faster results. Maximum impact.

 

 


4. Real-Time Monitoring & Optimization

Once AI agents are operational, Apromore's real-time monitoring ensures the agents are aligned with process performance objectives. Features include:

  • Operational Monitoring: Continuous tracking of AI-driven process interactions and their adherence with established KPIs.

  • Predictive Insights: Leveraging predictive analytics to preemptively identify and address deviations or potential failures.

  • Feedback Loops: Providing immediate root-cause analysis for refining AI agent behavior based on real-world outcomes.

 

5. Building Scalable AI Solutions

With Apromore, scaling agentic AI capabilities can really be streamlined. The platform's architecture supports the seamless integration of process intelligence into broader ecxosystems:

  • Linking risks, obligations, and controls directly to AI-driven workflows, ensuring compliance and accountability at scale.

  • Facilitating collaboration between AI development teams and process owners, thanks to its intuitive, no-code interface.

By embedding process intelligence into every stage of AI deployment, Apromore empowers organizations to scale AI initiatives confidently and efficiently.

 

Conclusion

Apromore’s process intelligence capabilities have the potential to transform the way organizations scale AI initiatives, such as agentic AI automation. By providing the insights needed to identify concrete opportunities for embedding agentic AI into end-to-end business processes, estimate their impact on performance and compliance objectives, train AI agents effectively, and continuously monitor their effectiveness, Apromore ensures that businesses can harness the full potential of agentic automation in their operations. Moreover, it allows IT and business teams to effectively productive agentic development.

For companies looking to build smarter, more impactful AI solutions, Apromore is the key to operational excellence and innovation at scale.

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