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Panel recording:
What’s Working & What’s Next in AI

AI adoption is accelerating—but turning hype into real results? That’s where most teams are still figuring things out. That’s why we brought together four leading voices in workplace strategy, productivity, and remote innovation to unpack how today’s teams are making AI work—and where things are headed next.

PANEL

Expert contributors

Dr. Gleb Tsipursky
Behavioral Scientist & Hybrid Work Strategist | CEO, Disaster Avoidance Experts

Phil Kirschner
Workplace Consultant | Former McKinsey & WeWork

Nadia Harris
Founder | Remote Work Advocate

Eryn Peters
Co-founder | The AI Maturity Index

Hosted by:
Kylie Bonassi, Lead Productivity Researcher
Aubrey Nekvinda, Product Marketing Manager

What you will learn:

How to cut digital noise
We explore how teams are using AI to reduce busywork and create space for deep, focused work.
Real examples of AI in action
Across industries, team sizes, and use cases—from global orgs to fast-moving startups.
The next evolution of AI
We discuss the shift from one-off tools to fully integrated, workflow-changing systems.

Panel highlights: Turning AI potential into performance

  • Use templates: Equip your teams with AI templates to boost effectiveness (Dr. Gleb).

  • Train your AI: Tailor AI tools to your business needs for maximum impact.

  • Clarify the business case: Always ask how AI adds measurable value—don’t just adopt it blindly.

  • Change management: Clearly communicate AI goals and benefits to reduce fear and resistance.

  • Augment vs. automate: Decide thoughtfully where AI enhances human work and where it fully automates.

  • Address productivity pressures: Use AI to alleviate—not compound—workload pressures.

Measuring success

  • Define clear AI success metrics upfront to track and report real progress.

  • Use AI to streamline and automate fragmented processes.

Building an AI-ready culture

  • Address fears: Create a safe environment to openly share AI wins and lessons.

  • Encourage net-new ideas. Experiment with fresh applications, such as creating client personas with AI.

  • Equip your people with foundational AI skills, empowering them to innovate independently.

  • Let your teams experiment freely, train your people, then let them bloom.

Redefining productivity

  • Productivity should measure effectiveness and efficiency, not just busy work.

  • Clearly define tasks better suited for humans versus AI.

  • Prioritize high-impact, strategic tasks over merely visible activity.

  • Focus AI adoption on areas directly impacting business growth and revenue.

  • Stay realistic about AI’s practical limits and genuine benefits.

Future-proofing skills and policies

  • Cultivate lifelong learners: Foster curiosity, experimentation, and adaptability.

  • Adopt a growth mindset: Encourage a culture of "I don’t know how to do that yet."

  • Establish enabling and empowering AI policies—clarity boosts confidence and innovation.

Why small businesses excel

  • Small teams adapt faster due to fewer regulations and clearer communication.

  • Balance top-down guidance with bottom-up innovation to effectively scale AI adoption.

Remember: AI’s real value comes from people. Build curiosity, train your teams effectively, and measure what truly matters. Automate intelligently and augment human capabilities wisely. Keep AI human-centered—real, impactful, and specialized. Treat AI as a coach, not a replacement.

Ready to lead the shift?

85% of teams are already using AI regularly. The rest? They’re racing to catch up. If you’re looking to stay ahead of the curve, this panel—and the report that sparked it—offer practical insights to help you lead the way. We’ve done the work. We’ve gathered the data. And we’re sharing what’s working. This isn’t about adopting AI—it’s about operationalizing it.
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