Most enterprises are layering AI tools on top of broken processes and wondering why ROI never materializes. In this solo episode, Maribel breaks down Cisco’s systematic approach to workflow redesign, why visibility into how work actually gets done is the missing first step, and what enterprise leaders need to change about their leadership culture and talent systems before AI adoption will deliver real results.

Key Topics Covered

• Why AI tool adoption without workflow redesign fails to deliver ROI

• How Cisco’s Atlas AI agent system maps work across the enterprise

• The digital workflow canvas that lets leaders redesign processes systematically

• Results from Cisco’s pilot: 60% of activities AI-augmentable, 28 transformational use cases

• Why framing AI as augmentation rather than headcount reduction drives adoption

• The leadership and talent system changes most companies miss

Key Takeaway
The technology exists. The use cases are proven. What’s missing is the organizational discipline to redesign workflows before deploying more tools. Start with your data and your processes, not your tools.

Resources & Links

Blog post: Why AI Tool Adoption Without Workflow Redesign Is a Waste of Money [Lopez Research]

Related: Five Steps to Follow for Successful AI Deployments [Lopez Research]

Related: Three Shifts in AI-Driven Labor That CIOs and CEOs Can’t Ignore [Lopez Research]

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Why Deploying More AI Tools Won’t Fix Your Workflows: Lessons Learned From Cisco

The AI with Maribel Lopez (AI with ML)

Why Deploying More AI Tools Won’t Fix Your Workflows: Lessons Learned From Cisco