The Human Element | CHRO & HR Leadership Podcast
Summary In this episode of The Human Element, Barb Bidan sits down with Azurée S. Montoute-Lewis, Global Chief People Officer at Burson, to discuss what it actually takes to move AI from pilot programs to organization-wide adoption. Azurée argues that the organizations succeeding at AI adoption aren't moving the fastest. They're the ones who built a foundation of trust before deploying tools, designed metrics around decision quality rather than usage, and drew clear lines between where AI assists human work and where humans must still make the call. With 5,000 employees and 9,000 internal AI agents, Burson is a working example of what that approach produces. Chapters 00:00 Azurée's role at Burson and what makes it unique 03:10 AI forces an operating model change, not just a technology change 07:30 Why scaling AI breaks down: ownership, data gaps, change fatigue 11:45 Bringing along early adopters, skeptics, and global audiences 14:00 The right way to measure AI impact (not usage) 17:20 When Burson's data came back inconclusive and what they did next 20:15 Agentic AI: from AI that assists to AI that acts 23:50 The feedback coaching agent and where Burson draws the line 27:00 Trust, fear response, and psychological safety in an AI workplace 29:30 Lightning round: one metric, one governance mistake, one line AI won't cross Takeaways 1. Measuring AI adoption by usage is the wrong metric — decision quality and output quality are the signals that matter. 2. Organizations that deploy AI without a transparent trust conversation trigger a predictable fear response; building trust first makes adoption easier and more durable. 3. The strongest HR AI use cases augment human capability rather than replace human judgment — Burson's feedback coaching agent is a working example. 4. Calibration, succession, and leadership assessments should stay with humans; AI can aggregate inputs but cannot supply the nuance of real leadership observation. 5. HR's core job in the AI era is designing the human architecture around the technology: the measurement frame, the trust foundation, and the human/AI boundary. Guest links Azurée S. Montoute-Lewis on LinkedIn: https://www.linkedin.com/in/azureesmontoutelewis/ [https://www.linkedin.com/in/azureesmontoutelewis/] Company Website: https://www.bursonglobal.com/ [https://www.bursonglobal.com/] Sponsor Wisq is the AI platform for HR. We built Harper, the world’s first AI HR teammate — designed to handle the judgment-heavy work that has historically consumed HR teams: job changes, performance concerns, leaves of absence, onboarding, and employee relations issues. Where HCM bolt-ons and chatbots deflect the easiest questions, Harper resolves full cases, end-to-end. The result is an HR function with the capacity and strategic bandwidth to focus on the work that moves the business. Companies get Harper live in weeks, not quarters, with implementation support built on deep HR domain expertise. Wisq serves HR leaders at leading companies across industries, helping them raise the bar on employee experience and expand what their teams are capable of. For more information, visit https://www.wisq.com [https://www.wisq.com].
31 episodes
Comments
0Be the first to comment
Sign up now and become a member of the The Human Element | CHRO & HR Leadership Podcast community!