Eps.44 | Finance: Transforming Finance with AI and Automation with Rillion's Daniel de Sousa
A must-listen for: CFOs, finance leaders, and accounts payable professionals looking to modernise their operations.
In this episode, Tim Bond speaks with Daniel de Sousa, CEO of Rillion, about the transformative impact of AI and automation on finance functions. De Sousa highlights the inefficiencies in current accounts payable processes and explains how Rillian’s platform can reduce processing time by 70% and handle 20% more invoices without additional staff. The conversation covers the journey from manual to automated operations, the benefits of rule-based and AI-driven automation, and the significant ROI achieved by Rillion’s clients. Additionally, de Sousa delves into fraud detection, compliance, and the evolving role of finance as a strategic partner in business. This episode provides valuable insights for CFOs and finance professionals seeking to modernize their operations.
Join the conversation as Daniel discusses:
• The current state of accounts payable automation across different regions
• How rule-based and AI-driven automation complement each other
• Practical approaches to reducing manual processing in finance
• Methods for detecting and preventing fraud in accounts payable
• The implementation journey and typical timeframes
• Return on investment and measurable benefits
• The future of finance function and the role of generative AI
Timestamps:
00:54 The state of accounts payable automation
01:37 Daniel's journey to CEO
03:39 Rillion's offerings and market position
05:19 Current state of AP automation across regions
07:53 Rillion's unique approach to automation
11:01 AI and rule-based automation in AP
14:31 Customer journeys and implementation
24:37 Insights and ROI with Rillion
33:32 Future of finance and AI
Want to learn more?
Visit Rillion’s website: https://www.rillion.com/
Connect with Daniel de Sousa on LinkedIn: https://www.linkedin.com/in/danield11/
Connect with Tim Bond: https://www.linkedin.com/in/tngbond/
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