#333 Adi Kuruganti: Why Your AI Pilot Is Failing and What It Takes to Reach Production
Eye On A.I. Podcast Recap
Published:
Duration: 58 min
Guests: Adi Kuruganti
Summary
Adi Kuruganti from Automation Anywhere explains the challenges businesses face in moving AI projects from pilot to production. He highlights the importance of combining deterministic and agentic AI with human oversight in mission-critical processes.
What Happened
Automation Anywhere, under the leadership of Adi Kuruganti, has been pivotal in the evolution of Robotic Process Automation (RPA) over the past 12-13 years. The company has over 5,000 customers and 1,500 live deployments, demonstrating its wide reach and influence in the automation space.
A significant success story shared was a financial services customer that reduced their automotive loan application process from 12 hours to under one hour using AI with human oversight. This transformation highlights the potential for AI to significantly improve operational efficiency and win new business, as seen with the bank securing a contract with a large automotive manufacturer.
Kuruganti emphasizes the importance of combining deterministic and agentic AI in process automation. The deterministic process engine, Mozart Orchestrator, can embed agents as actions, while the Process Reasoning Engine refines outcomes by leveraging metadata to minimize AI agent hallucinations.
Automation Anywhere's Generative Recorder enhances RPA resiliency by 60%, using vision models and generative AI. This technical advancement is a part of their broader strategy to improve the robustness and adaptability of RPA systems.
As AI technology continues to evolve rapidly, Kuruganti warns of the confusion arising from interchangeable terms like agent AI, assistance, and chatbots. He advises focusing on the desired outcomes rather than viewing AI as a mere technological problem.
The issue of data governance, audit, and compliance is critical in AI deployment to avoid legal and compliance pitfalls. Kuruganti also highlights the need for businesses to foster a culture of change management and assess their risk appetite for AI adoption.
Automation Anywhere partners with major players such as OpenAI, Anthropic, and AWS to integrate cutting-edge AI models into their solutions. This collaboration is essential for staying competitive and ensuring that their clients have access to the best AI technology available.
Finally, Kuruganti introduces the concept of an 'autonomous enterprise', which involves multi-departmental AI integration over a three to five-year journey. He also discusses the development of an 'agentic quotient' to measure employees' capabilities in working with AI agents.
Key Insights
- Automation Anywhere has been a leader in RPA, with over 5,000 customers and 1,500 live deployments, illustrating its substantial impact on process automation.
- A financial services company drastically reduced loan processing time from 12 hours to under one hour by integrating AI with human oversight, demonstrating the potential for AI to enhance efficiency and business competitiveness.
- The integration of deterministic and agentic AI in process automation is crucial, with tools like Mozart Orchestrator and the Process Reasoning Engine helping to refine and improve AI-driven outcomes.
- Partnerships with leading AI companies such as OpenAI and Anthropic allow Automation Anywhere to remain at the forefront of AI technology and provide advanced solutions to their customers.