Are you struggling to collaborate across multiple versions of documents as your product teams grow?
Do engineers spend time searching for the right requirement across Word files, spreadsheets, and Jira tickets?
Is managing change becoming harder as complexity increases?
In this session, we'll explore how organizations are improving speed and cross-team alignment by evolving from document-centric and Jira-only approaches to a more connected requirements management capability—with AI-assisted features that help teams maintain consistency without adding manual overhead.
Through a live product demo and real-world customer story, you'll learn how to:

Senior Presales Solutions Consultant
Maxim Damm is a Senior Presales Solutions Consultant at Siemens Digital Industries Software, where he has spent nearly a decade helping regulated enterprises make confident decisions on Polarion ALM. He leads evaluations, integrations, and enablement for complex stakeholder groups moving from document-centric and Jira-only approaches to a connected requirements practice. He works closely with Polarion's AI-driven capabilities, advising customers on practical use cases and guardrails, and speaks regularly at industry conferences and webinars on ALM best practices and enterprise agile methodologies.
Max holds a CPRE Certified Professional for Requirements Engineering with an MBA, and brings both technical depth and broad cross-industry pattern recognition to the question of what scaled, AI-assisted requirements management actually looks like in production.

Senior Presales Solutions Consultant – Polarion
Chris Stazinski는 AI 기반 입찰 관리를 전문으로 하는 수석 솔루션 컨설턴트입니다. 에너지 산업의 주요 고객과 폭넓게 협력하면서 요구사항 관리 및 제안 개발의 고유한 과제에 대한 깊은 인사이트를 확보했습니다. 이러한 경험과 AI 애플리케이션에 대한 이해를 바탕으로 조직이 운영을 최적화하고 비즈니스 목표를 달성하도록 지원합니다.