Ep 278 – Inside MPL Live Austin: What People Leaders Took Away | Cindy Lopez & Marlene Arroyo

1. Don’t automate dysfunction — fix the process first

One of the biggest takeaways from the AI discussions was this: tools alone won’t save you. Leaders pointed out that AI is often being used to prop up processes that should be rebuilt entirely. Before adding automation, ask what the work actually needs to look like.

“Where we’re using AI to shore up a bad process — we should pause. Redesign it first, then decide if automation makes sense.”

This shift in mindset — from patching to rethinking — is what will matter most in the next wave of HR transformation.

2. AI experimentation is good. Intentionality is better.

Both Cindy and Marlene talked about how their teams are balancing experimentation with structure. That means:

• Auditing where AI is already in use
• Asking whether it’s solving real problems or patching bad processes
• Bringing leadership together to define the purpose behind adoption

"The companies that are intentional see far greater results than those that are just experimenting."

3. One idea worth stealing: the bingo card

Vendor halls can be awkward. But a simple bingo card changed the entire dynamic. It gave attendees a reason to walk up, ask questions, and explore tools without pressure.

“I just want to get in and really understand what's going on — but not feel like I'm being sold to.”

What seemed like a fun game turned into a powerful nudge for discovery. It lowered the stakes, created more genuine conversations, and proved that a little structure can change everything.

4. AI needs a purpose — not just permission

A theme that came through loud and clear: “doing AI” isn’t a strategy. Without a clear ambition, AI initiatives stall or solve the wrong problems. HR leaders are in a unique position to push for clarity and alignment before the tools come into play.

“For a huge change management project like AI, you need to have an ambition that’s bigger and more clear than just saying we’re going to do AI.”

Whether that ambition is cost efficiency, faster onboarding, or better talent insights — the key is to name it early and build around it.

5. Programming with a purpose

Day one of MPL Live ATX featured bite-sized, thought-provoking content built around the Innovation Hall experience. A standout was Deloitte's "Machines x Humans" keynote, which reframed AI as an augmentation opportunity instead of a threat.

"The real issue is HR teams are still in reactive mode. The opportunity is to take the reins and start designing better ways of working."

Later, the "Future of Work Face-Off" debate format helped attendees explore both sides of hot-button issues like AI and automation.

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