What Has to Be in Place? – Data, Technology, Security, and Governance

About this Webinar

Many organizations have moved beyond asking whether AI matters. The harder questions are where to begin, what must be in place, and how to turn promising pilots into sustainable business practice.

This Webinar focuses on what foundational decisions determine whether an AI initiative can move beyond the pilot stage?

What participants will gain

A clear view of the questions leaders should ask about data, systems, security, ownership, and measurement before scaling.

What we will explore

1. Get the data foundation ready 

• Understand why data quality, ownership, access, consistency, and permissions determine what is feasible. 
• Define what is good enough to begin—and where cleanup is unavoidable.  

2. Choose the right environment and connections 

• Consider how information across ERP, CRM, documents, email, and operational systems can be connected. 
• Compare public tools with enterprise-controlled environments and assess cost, flexibility, control, and dependency.  

3. Protect the business and prepare to scale 

• Use an AI acceptable-use policy, proportionate access rights, human review, and clear accountability. 
• Match controls to the sensitivity and autonomy of the use case while keeping implementation practical.