by Rajesh Agarwal, on Aug 13, 2024 2:00:22 PM
Key takeaways from the blog
- Copilots are AI assistants that help re-imagine the business process landscape.
- Copilots have brought forth an era of application expansion or maximization.
- They enable seemingly difficult processes, such as Process Mining and Process Discovery.
Low-Code No-Code technology platforms, such as Microsoft Copilots, have changed the face of automation. By leveraging Natural Language, such as simple English, to give commands to the applications and data repositories seamlessly orchestrated by Copilots in the backend, businesses can give a tremendous thrust to process efficiency. Copilots have brought forth an “era of application expansion or maximization” that exponentially increases business productivity. Copilots help reimagine the business process landscape with a Low-Code approach that cuts across seemingly impossible realms of Process Mining, Discovery, and Re-engineering.
What are Copilots in Process Automation?
Copilots are AI assistants powered by foundational models, which necessarily point to enterprise knowledge repositories. They help extend application capabilities through dynamic orchestration and source data from any enterprise application without leaving the existing application.
Copilots seamlessly integrate with any enterprise application and execute commands by using natural language, such as simple English. AI-driven Copilots go way beyond regular Process Automation and can be customized to any business situation across different domains.
How does a Copilot improve Process Mining and Process Discovery?
Copilots improve Process Mining and Process Discovery in an ingenuine way. Copilots are API-driven AI assistants that attune with foundational models that receive continuous inputs from process logs created across business systems, such as CRMs and ERPs. For Process Mining, Copilots tap into the process logs and monitor the data traffic in the background to extract Process Intelligence.
Copilots identify case ids, events, and timestamps across the data traffic created by events and transactions. They use their fuzzy logic to generate visualizations for ready reference by using specialized AI algorithms that extract the data from the process logs. The Copilots highlight the different process sequences and variations with respect to the predefined processes.
In parallel, Copilots identify optimal process paths in terms of execution time and execution efficiency. They create three graphs: as-is, expected, and optimal process paths. The visual insights derived by the Copilots from the Process Mining data help discover optimal process paths. This Process Discovery helps redefine activity flow, eliminate bottlenecks, and automate tasks.
Copilot Benefits in Process Discovery and Process Re-Engineering
- Actionable insights: Copilots analyze Process Mining data to highlight KPIs, bottlenecks, and suggested improvement areas.
- Time to Value: AI-driven Copilots save time in data interpretation and analysis as they bring all the functions of data collection, data analysis, and data visualization.
- Process Re-Engineering: Copilots gather the relevant data points to instantaneously chart out the optimal process paths that help re-engineer processes.
Simply put
Copilots are AI assistants that have brought forth an “era of application expansion or maximization” that exponentially increases business productivity. With their Low-Code approach and natural language commands, they cut across complex processes, such as Process Mining, Discovery, and Re-engineering. Copilots tap process logs to discover optimal process paths that redefine activity flow, eliminate bottlenecks, and automate tasks. AI-led Copilots and Natural Language take complex process automation to an entirely new level.
