• 21 November 2024
  • Session 1: 9:00 CET / 10:00 EET
  • Session 2: 16:00 CET / 17:00 EET
  • Online

AI in Rillion Prime: Achieve 90% Touchless Invoices and Lower Costs

Unlock the full potential of AI in invoice processing with Rillion Prime. Our latest AI-powered coding and workflow automation make invoice processing faster, simpler, and more cost-efficient—eliminating manual tasks and rigid workflows. So you can operate with maximum efficiency, flexibility, and accuracy.

Join Our Webinar

Discover how Rillion’s AI solution transforms invoice management. We’ll dive into how our AI engine works and highlight the value AI brings to your operations.

What You’ll Learn:

  • An introduction to Rillion AI and its capabilities
  • Our new workflow prediction feature
  • How AI-driven predictions speed up invoice approvals
  • Strategies to lower operational costs and achieve up to 90% touchless invoices through automation

Choose a Session Below

Prefer to attend the webinar in Swedish? Register to the Swedish session (20 November, 9:00 CET): Lanseringswebinar: AI i Rillion Prime.

Session 1: 9:00 CET / 10:00 EET

Session 2: 16:00 CET / 17:00 EET

Speakers

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Maria Hult, Product Specialist at Rillion

Om Maria

Maria Hult works as a Product Specialist at Rillion. Over her 24 years at Rillion, Maria has held various positions, most of them focused on sales and product development. She is considered one of our top product experts and is a truly “go-to person” for both general inquiries about the AP process and for in-depth questions regarding our solution, Rillion Prime.

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Petter Åström, Product Manager for AI initiatives at Rillion

About Petter

Petter leads Rillion’s AI team with a focus on maximizing the value of our AI services for automation in invoice management. With several years of experience in the AI field, he drives the development of innovative solutions that streamline our customers’ workflows. Petter is passionate about translating AI technology into practical benefits and is constantly seeking new ways to optimize processes for the future of automation.