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.

シニア・プリセールス・ソリューション・コンサルタント – Polarion
Chris Stazinskiは、AIで強化された入札/応札管理を専門とするシニア・ソリューション・コンサルタントです。エネルギー業界の主要クライアントと幅広く協力するなかで、要件管理と提案作成に固有の課題について、洞察を深めてきました。これまでの経験やAIアプリケーションの理解を通して、組織がオペレーションを最適化して事業目標を達成する支援をしています。