AI Makes Employees Faster, So Why Isn't Profit Growing?

80% of workers say AI makes them more productive. So why are companies struggling to turn those gains into real business impact?

The problem might not be the AI itself. It could be the invisible coordination tax hiding between tasks, teams, and workflows.

In this video, we explore the AI ROI paradox, why isolated productivity improvements often fail to deliver enterprise-wide results, and how Agentic AI could help close the gap.

What you'll learn:

00:00 - The AI ROI paradox: Why individual productivity gains don't automatically translate into business value.

00:19 - The coordination tax: How handoffs, approval delays, data verification, and cross-team dependencies slow down work.

00:49- 12 hours vs. 18 days: How a manufacturing workflow can spend far longer waiting than processing.

01:33 - How Agentic AI changes the equation: Using AI agents to coordinate workflows, verify information, and route work across departments.

The next stage of enterprise AI isn't just about helping employees finish individual tasks faster. It's about redesigning how work moves across the organisation.

Want better AI ROI? Stop optimising isolated tasks and start looking at the handoffs.
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💬 Discussion question: Where is the biggest coordination tax hiding in your organisation approvals, data handoffs, or cross-team communication?

Share your thoughts in the comments!
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