Stephan Glismann-Bringmann
Episode Summary: In this episode of the Emagia AI for Finance Podcast, Host Brian Shappell sits down with Stephan Glismann-Bringmann, credit control ambassador of Callisto Grand, to explore the evolving role of Generative and Agentic AI in Order-to-Cash operations — particularly within Global Business Services (GBS) and European finance environments. Moving beyond the hype cycle, the conversation examines how finance organizations are transitioning from traditional RPA to intelligent orchestration, and why the real differentiator is not technological capability, but governance, explainability, and operational trust.
Stephan shares practical insights into the maturity curve of AI adoption in shared services, highlighting why many CFOs and controllers remain cautiously optimistic. The discussion also explores the distinction between Generative AI as a productivity enhancer and Agentic AI as a decision-making orchestrator, and what that means for risk management in credit and collections.
For GBS and finance executives navigating workforce transformation, regulatory scrutiny, and performance pressures, this dialogue provides a grounded, forward-looking perspective on how to operationalize AI responsibly and at scale.
Speaker highlights: With more than 30 years of experience in business development, product strategy, and enterprise software, Stephan Glismann-Bringmann has worked extensively across Order-to-Cash, credit control, fraud management, and payment automation, supporting organizations in translating operational challenges into scalable, measurable outcomes.
Today, while based in Hamburg, Germany, his work focuses on:
- Strategic business development and partnerships in the DACH region
- Modernising Credit Control and recurring payment processes
- Connecting finance leaders, solution providers, and practitioners to accelerate real transformation
Beyond finance, Stephen has a strong interest in innovation, particularly AI and its impact on enterprise software, particularly in automating decision-making across A/R, Treasury, and Accounting – as well as its broader implications for autonomous and electric mobility.
