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.

Polarion 高级售前解决方案顾问
克里斯·斯塔津斯基是一名高级解决方案顾问,专门从事 AI 增强型招标和投标管理。他与能源行业的主要客户广泛合作,对需求管理和提案制定的独特挑战有着深刻的见解。这些经验加上对人工智能应用的理解,使他能够帮助企业优化运营并实现业务目标。