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Ep119: Process Intelligence in the Age of AI – A New Era of Business Automation with Celonis
Episode 119

Ep119: Process Intelligence in the Age of AI – A New Era of Business Automation with Celonis

AWS for Software Companies Podcast · Nate Goyer

July 16, 202524m 31s

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Show Notes

Chief Product Officer Dan Brown explains how Celonis creates digital twins of business processes to power AI agents that automate operational improvements.

Topics Include:

  • Dan Brown introduces Celonis as the thought leader in process mining for over a decade.
  • Celonis serves largest global companies across all industries seeking operational improvements.
  • Companies have process diagrams but actual operations differ significantly from documentation.
  • Celonis creates digital twins of business processes by analyzing system data flows.
  • Process intelligence reveals how work actually happens versus how companies think it happens.
  • Platform enables process normalization, improvement assessment, and automated corrective actions.
  • Celonis vision: making processes work better for people, companies, and the planet.
  • Process intelligence provides visibility into current operations and improvement strategies.
  • Great AI requires great data, but most companies only have static views.
  • Process intelligence graph shows real-time flow of orders, invoices, and opportunities.
  • Agentic AI requires four capabilities: sensing, planning, executing, and governing operations.
  • Process intelligence enables real-time detection of conformance problems and deviations.
  • AWS partnership leverages Bedrock for agentic AI and infrastructure for data processing.
  • Data ingestion, organization, and enrichment are core to process intelligence value.
  • AI agents now handle process deviations with increasing autonomy and sophistication.
  • Heavy equipment manufacturer uses agents to coordinate with third-party vendors automatically.
  • Agents text and email vendors to confirm delivery dates, reducing manual work.
  • Implementation challenges include data quality, conservative adoption, and governance concerns.
  • Companies should start with achievable use cases and expand gradually across domains.
  • Future involves enterprise-wide process visibility powering automated applications and continuous improvement.


Participants:


Further Links:


See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Topics

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