AI as a Team Member: A New Operating Model for the Enterprise

Описание: AI adoption isn’t just about buying new software. The real shift is learning how to build a digital workforce that works alongside your team.

In this episode of the 'Every Business Deserves Real AI Transformation' series, Jenny Moshea (  / jmoshea  , VP & GM of Enterprise AI Solutions at RapidCanvas, shares why organizations need to rethink how they approach AI procurement, deployment, and measurement. Instead of treating AI like another SaaS tool, she explains how leaders should think about AI agents as digital team members—capabilities that expand team capacity, reduce manual work, and unlock new value across workflows.

Drawing on decades of experience leading digital transformations across industries—from banking and healthcare to retail and telecom—Jenny discusses how enterprises can avoid AI silos, build trust in AI systems, and create meaningful human-AI collaboration.

If you’re a CIO, CFO, or business leader evaluating AI initiatives, this conversation offers practical insight into how to move beyond pilots and build scalable AI capability across the organization.

Want to go deeper? Read Jenny’s related blog on why companies should stop buying AI software and start building digital teams: https://www.rapidcanvas.ai/blogs/dont...

Continue the conversation with Jenny:
Book time with her here → https://meetings-na2.hubspot.com/jenn...

Chapters:
00:00 – Introduction & Jenny’s background
02:19 – Why buying AI like software is the wrong approach
04:27 – Where AI creates the most value in organizations
06:00 – Onboarding AI like a digital team member
10:01 – Avoiding AI silos and building a strategic roadmap
12:24 – Measuring AI performance and building trust
15:36 – Human + AI collaboration that actually works
22:06 – Why enterprises need an AI platform, not more software tools
29:22 – Integrating agentic AI into existing enterprise systems

📌 Hosted by Michele Chambers
Entrepreneur, technology executive, and author with 30+ years of experience scaling data and AI companies including IBM, Anaconda, Netezza, and RapidMiner.