Revolutionizing IT Operations with AI-Powered RPA

Jan 27, 2025Download as PPTX, PDF0 likes42 views

Discover how AI-powered RPA is revolutionizing IT process automation by enhancing efficiency, reducing manual tasks, and streamlining operations. Read this presentation to know more.

AI-Powered RPA in IT
Process Automation
www.automationedge.com
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© 2025 AutomationEdge. All rights reserved. Value Led Hyperautomation
AI-Powered RPA in IT Process in Automation
IT Process Automation with AI-powered
RPA is integration of artificial
intelligence, machine learning, and
Generative AI paving the way for
unprecedented levels of agility,
scalability, and innovation in IT
operations.
As per the report, the market for workflow
automation is expected to increase a CAGR of
33.3% from 2023 to 2030.
Involves the use of automating the repetitive and
time-consuming tasks that takes a large portion of
time in processing.

© 2025 AutomationEdge. All rights reserved. Value Led Hyperautomation
IT Process Automation in Businesses
• Myth: AI and RPA will reduce
human jobs
• Reality: Its Augmentation, not a
replacement
AI and ML can be used to automate
complex IT processes, reduce
manual errors, and provide
intelligent insights
AI-powered RPA bot can read customer emails,
extract relevant information, and update
customer records in the bank's database
without human intervention.
1. End User
Support
2. Service Desk
Tickets
3. Data
Centre
4. Security
Operations
5. Application
Support
6. Schedule
Activity

© 2025 AutomationEdge. All rights reserved. Value Led Hyperautomation
What Happens When AI-Powered RPA Integrates IT Process
Whether it’s a request for a password reset or
resolving a software bug, automating the IT
request logging process can efficiently
categorize and prioritize all requests, ensuring
timely responses with AI-powered RPA.

© 2025 AutomationEdge. All rights reserved. Value Led Hyperautomation
Benefits of Automating the IT Process
AI-Powered RPA, banks can not only
streamline their operations but also
create a more agile and responsive
organizational structure that meets the
demands of today's financial landscape.
• Myth: AI and RPA will reduce
human jobs
• Reality: Its Augmentation, not a
replacement
Faster Response Time
Reduce Operational Cost
Better Visibility
Enhanced Employee
Productivity
Better Utilization of Resources

© 2025 AutomationEdge. All rights reserved. Value Led Hyperautomation
Trends Shaping Automation of IT Process
• Myth: AI and RPA will reduce
human jobs
• Reality: Its Augmentation, not a
replacement
Enterprises are increasingly
adopting the latest technologies,
such as cloud computing and
mobile computing, and this is
anticipated to drive the demand
for cloud-based workflow
management systems.

The document discusses hyperautomation, which involves seamlessly integrating technologies like artificial intelligence, machine learning, robotic process automation, and other cutting-edge technologies to efficiently automate and enhance business processes. It is predicted that enterprises adopting hyperautomation could experience a 30% reduction in operational costs. The document provides statistics on the growth of the hyperautomation market and lists the top 10 use cases for hyperautomation in 2023, including customer service, claims processing, and accounts payable. Key benefits of hyperautomation include amplifying automation processes, enabling real-time monitoring, and increasing business agility.

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Rapidly convert RPA into composable automation using GenAI and unlock the full potential of Agentic AI RPA’s “band-aid” approach to automation offered a quick-fix solution for automating routine, repetitive, and well-defined human tasks, resulting in efficiency gains and bottom-line cost savings. However, the ease of implementation by working at the user interface level to mimic human actions without requiring changes and integration to existing IT systems, though non-intrusive, is also why RPA will constrain the potential of Agentic AI. Beyond the known challenges of RPA, such as its fragility, high maintenance demands, suitability only for a limited range of well-defined structured automation, and security governance implications, the following characteristics are examples of why RPA constrains the potential of Agentic AI: 1) Change resistance: It’s not meant for process reengineering and continuous improvement. 2) Islands of task-centric automation silos: It’s not suitable for complex and evolving processes like end-to-end business orchestrations that require decision-making, exception handling, and driving top-line business-critical KPIs. 3) Limited Cognitive Capabilities: Traditional RPA lacks the cognitive abilities required to manage tasks that involve reasoning, decision-making, or problem-solving using natural language processing, machine learning, or artificial intelligence. As Microsoft CEO Nadella predicted, “All business logic will go to AI agents.” To realize this, agents must not distinguish between the sources of data and business logic. RPA’s “band-aid” approach results in isolated, surface-level automation silos, confines business logic within these siloed systems, and perpetuates the existence of silos. As a result, the adoption of AI agents by RPA to enhance cognitive abilities is restricted to individual tasks and isolated functions. This is far from realizing Agentic AI’s true potential: enabling goal-driven intelligent end-to-end automation that incorporates AI and machine learning for self-improvement and achieving closed-loop optimization. Net; Net: AgilePoint GenAI accelerates the transformation of RPA into composable automation applications, unlocking the full potential of Agentic AI. For more information, refer to the AgilePoint Maturity Model for Enterprise Agentic AI. This wave of AI will make or break a business, and your automation strategy plays a crucial role. Be the first to adopt agentic-ready, composable automation and win the AI outcomes race. Viist: http://www.agilepoint.com

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