��«ӰҵAPP

Here's the paradox: 67% of A&E leaders support AI adoption, but only 13% are confident their teams can actually use it. And the data problem is even worse. Just 7% of firms say their data is clean and accessible enough to support AI. In the final installment of our State of AI in A&E webinar series, we tackle the real barriers preventing firms from turning AI ambition into AI results. Drawing on ��«ӰҵAPP's survey of 138 industry professionals, we explore the leadership-readiness disconnect, the top adoption barriers (training, legacy systems, siloed data, cultural resistance), and what changes based on your role and firm size. This is the session that turns the report's findings into a practical playbook for getting your firm AI-ready.

Who’s it For

A&E firm leaders, operations teams, and department heads who are struggling to turn AI interest into real adoption, especially those facing challenges with team readiness, data quality, and legacy systems.

Learning Objectives

1. Diagnose the leadership-readiness gap at your own firm by understanding the disconnect between executive support (67.4%) and team confidence (13.1%), and what it takes to close it
2. Prioritize the top barriers to AI adoption (training, legacy integration, data quality, cultural resistance, and unclear ROI) based on your firm's size and organizational maturity
3. Assess your firm's data readiness for AI and identify specific steps to connect fragmented work, people, and performance data into a foundation that supports intelligent automation
4. Build a role-specific AI enablement strategy that addresses the different priorities of executives, operations leaders, and project managers within your organization

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