Maciej Szymaszek

Organizations are faced with major challenges when adopting agentic AI, including balancing innovation with risk management and navigating complex regulations. Yet, the greater opportunity lies in reimagining operations and workflows with an AI-first mindset, moving from simply adding AI to existing systems (process+AI) to fundamentally transforming how work gets done (AI+ process). Join AstraZeneca to explore how agentic AI can be a catalyst for business transformation, emphasizing leadership upskilling, strategic implementation, and human-AI collaboration.

• Drive transformation by embedding AI at the core of business strategy

• Upskill leaders to make informed, AI-savvy decisions

• Manage AI risks through robust governance frameworks

• Improve data quality through disciplined validation processes

• Integrate AI tools by aligning them with reimagined workflows

As markets grow more complex and unpredictable, traditional automation struggles to keep up. Business Process Management (BPM) and Robotic Process Automation (RPA) delivered early gains, but hit walls due to rigid workflows, static logic, and organizational resistance to change. Enter Agentic AI: autonomous, goal-driven agents that plan, adapt, and collaborate to drive outcomes, not just tasks. But tech alone isn’t enough. Real transformation demands a mindset shift, rethinking roles, accountability, and how teams co-create value with AI.

• Achieve adaptive operations by deploying goal-driven agents instead of static workflows
• Increase automation resilience by incorporating human-in-the-loop and exception handling into AI orchestration
• Accelerate ROI by identifying high-impact, cross-functional use cases for agentic automation
• Ensure sustainable transformation by redesigning team roles and collaboration models to integrate AI agents
• Build organizational readiness by aligning leadership, change enablement, and tech execution from day one