AI Proving Ground Podcast: Exploring Artificial Intelligence & Enterprise AI with World Wide Technology

Enterprise AI Adoption: How Workforce AI Is Changing the Future of Work

Aug 27, 2025

Joe Berger, a VP at WWT, and Kait Miller, a Workforce AI specialist, dive into the challenges of scaling AI adoption in organizations. They explore why employees trust consumer AI over corporate tools and discuss the pitfalls in identifying clear use cases. Berger introduces WWT's innovative RFP Assistant, which dramatically cuts response times and boosts revenue. The duo also tackles the build vs. buy dilemma, the importance of governance in AI tools, and how to foster employee engagement and effective training to overcome fears of obsolescence.

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INSIGHT

Adoption Fails Without Clear Employee Value

Adoption stalls because tools are given without clear use cases or reasons for employees to use them.
Employees need to see how tools improve their daily work to drive real adoption.

ADVICE

Validate Use Cases By Measuring Time Saved

Measure time savings and validate that automated use cases truly deliver that time back.
Use quantified ROI to prioritize tools before selecting technology.

ANECDOTE

RFP Assistant Cut Days To Hours

WWT built an RFP Assistant that reduced 8–10 day responses to under 24–48 hours.
The tool saved time and enabled reallocating resources to other business needs.

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Organizations are racing to unlock the potential of workforce AI, but only a few have cracked adoption at scale. In this episode of the AI Proving Ground Podcast, VP of Digital Experiences Joe Berger and workforce AI expert Kait Miller break down why artificial intelligence pilots stall, how to move from pockets of success to enterprise-wide impact and why employees often trust consumer AI more than company-approved tools. Kait and Joe explore the hidden gap between employee adoption and enterprise rollout, address the build vs. buy conundrum and walk through a real-world case study at WWT that slashed days of work into hours and generated new revenue.

Support for this episode provided by: Omnissa

More about this week's guests:

Joe Berger is Vice President of WWT's Digital Experience Practice, with over 20 years of expertise in end-user computing, collaboration and AI-driven workforce solutions. He has partnered with Microsoft and Cisco on innovative initiatives and frequently speaks at client advisory boards. Passionate about simplifying experiences to drive productivity, Joe also contributes to outlets like Forrester Research, CIO.com, Wired and CRN.

Joe's top pick: How Forward-Thinking Leaders Integrate Culture and Tech to Amplify Organizational Success

Kait Miller specializes in Workforce AI at WWT. She aims to identify growth opportunities and partnerships in this field, leveraging WWT's capabilities around worker productivity solutions. These tools enhance productivity, efficiency and innovation by integrating AI into everyday business processes.

Kait's top pick: Digital Trends Spotlight: Key Insights on Workforce Productivity Tools

The AI Proving Ground Podcast leverages the deep AI technical and business expertise from within World Wide Technology's one-of-a-kind AI Proving Ground, which provides unrivaled access to the world's leading AI technologies. This unique lab environment accelerates your ability to learn about, test, train and implement AI solutions.

Learn more about WWT's AI Proving Ground.

The AI Proving Ground is a composable lab environment that features the latest high-performance infrastructure and reference architectures from the world's leading AI companies, such as NVIDIA, Cisco, Dell, F5, AMD, Intel and others.

Developed within our Advanced Technology Center (ATC), this one-of-a-kind lab environment empowers IT teams to evaluate and test AI infrastructure, software and solutions for efficacy, scalability and flexibility — all under one roof. The AI Proving Ground provides visibility into data flows across the entire development pipeline, enabling more informed decision-making while safeguarding production environments.