The Future of AI-Driven Process Intelligence: A Conversation with Manish Garg and Jay Persaud
This video features a discussion between two thought leaders-Manish Garg, COO of Skan AI and a pioneer in process intelligence technology, and Jay Persaud, Ernst & Young (EY) Global Emerging Technology Ecosystem Leader and an expert in professional services and finance. Manish joins Jay to share insights into his journey with Skan AI, the role of process intelligence in enterprise transformation, and the broader implications for the industry. We appreciate the opportunity to engage in this dialogue and highlight Skan AI's impact on the evolving business landscape.
EY has established itself as a global leader in professional services, driving large-scale transformation through a commitment to innovation and technological excellence. EY's ability to analyze complex business processes and implement cutting-edge AI solutions has positioned it at the forefront of enterprise innovation. Their focus on leveraging data-driven insights allows organizations to unlock new efficiencies, reduce inefficiencies, and make informed strategic decisions.
The Need for AI-Driven Process Intelligence
One of the biggest challenges we see with our customers is the lack of a deep, accurate understanding of how operations occur when starting new transformation initiatives. Traditional approaches, such as human interviews and process mining, often fail to capture the nuances and variability of real-world operations.
For instance, if you ask an individual about their work habits, the responses may reflect perception rather than reality-similar to someone claiming they eat healthily while their grocery bill suggests otherwise. This discrepancy between stated and actual work patterns can lead to flawed transformation strategies and suboptimal decision making.
AI in 2025 and Beyond
To address the complexities of modern enterprise operations, organizations are increasingly turning to AI-driven process intelligence solutions like Skan AI. Skan AI analyzes thousands of workflows in real time, offering both granular and aggregate views of business processes. By creating a true digital twin of operations, it enables enterprises to make data-driven decisions, optimize workflows, and simulate the impact of changes before implementation.
With process intelligence, organizations can enhance operational efficiency, drive strategic transformation, and strengthen compliance. By leveraging Skan AI's insights, businesses gain a clearer understanding of their processes, uncover hidden inefficiencies, and implement targeted improvements that deliver measurable impact.
Lessons from AI Innovation and Future Vision
As AI continues to evolve, one of the key lessons from industry leaders like EY is the importance of aligning long-term vision with short-term objectives. In the fast-paced world of enterprise AI, it is easy to get consumed by daily operational demands. However, regularly revisiting and realigning with broader goals ensures that every effort contributes to overall success.
AI-driven process intelligence will play an even greater role in enterprise transformation. Per McKinsey, by 2030, advanced AI models will enable near-touchless business operations, reducing friction and enhancing efficiency at an unprecedented scale. Organizations that embrace AI-powered insights today will lead the way in shaping the future of enterprise operations.
Conclusion: EY's Role in Shaping the Future
EY's leadership in AI-driven enterprise transformation is a testament to its commitment to innovation and excellence. By continuously leveraging AI-powered tools, EY is helping organizations generate real value, optimize operations, and make data-driven decisions with confidence. The future belongs to enterprises that embrace the agentic AI evolution, and EY is leading the way in shaping this transformation.