In this episode of the Future Proof HR podcast, Jim Kanichirayil sits down with Laura Muir, Chief Human Resource Officer at Polaris Transport, to talk about building HR infrastructure in a highly competitive transportation environment with a lean team, limited budget, and growing operational demands.

Laura shares how Polaris moved from a more informal, family-owned environment toward a more structured organization while still respecting the traditions, loyalty, and practical knowledge of long-tenured employees. She explains how transparency, leadership training, performance reviews, and employee trajectories helped the company create clearer growth paths without losing the culture that made the business work.

The conversation also gets practical about AI in HR. Laura explains how her team used tools like ChatGPT, Textio, and CodePro to build foundational job descriptions, support pay equity work, and give leaders a faster starting point for role clarity. She also shares the downside of AI in hiring, including candidates using AI-generated resumes that do not match their real experience, and how that changed Polaris's screening process.

For HR leaders working with small teams, tight budgets, and urgent business needs, this episode is a grounded look at using AI as a practical support layer, not a replacement for context, judgment, or leadership. Laura's experience shows why future-proofing HR often starts with building the basics, taking action, and improving the process as the organization grows.

Topics Discussed:

• How Polaris is moving from a mom-and-pop structure to a more scalable HR operating model
• Why tradition and long-tenured employees matter during organizational change
• How transparency helped employees understand new skills and career expectations
• Building employee trajectories through performance reviews and stretch roles
• Using leadership training to help managers communicate during uncertainty
• Why job descriptions became a priority for pay equity, compliance, and growth
• How ChatGPT, Textio, and CodePro supported job description work for a lean HR team
• Why AI-generated resumes forced Polaris to rethink candidate screening
• How skilled trades hiring changes the way HR evaluates applicant quality
• Building an employee skills repository to support workforce planning and retention
• Why AI still needs business context, leader input, and human judgment
• How execution helps HR teams learn faster than long planning cycles

If you are an HR leader trying to build better processes with limited resources, this episode offers a practical look at how AI can help a lean team move faster while still keeping people, context, and business needs at the center.

Additional Resources:

• Cleary's AI-powered HR Chatbot
• Future Proof HR Community
• Connect with Laura Muir on LinkedIn

In this episode of the Future Proof HR podcast, Thomas Kunjappu sits down with Bea Bouras, Senior Vice President of Human Resources at Newity, to talk about what it takes to make AI part of daily HR work, not just a product or engineering initiative.

Bea shares how Newity moved from early AI experimentation to a broader push for adoption across the workforce. She explains why leadership buy-in, curiosity, tool access, and cross-functional learning all matter when an organization wants AI to become part of how people actually work.

The conversation also looks at the HR function itself. Bea talks about using AI to connect HR data across systems, prepare for performance and recruiting conversations, improve decision-making, and automate work that keeps HR teams away from higher-value human interactions.

Her message for HR leaders is direct: sitting out AI adoption is not a neutral choice. If HR wants to lead change, support the business, and future-proof the function, HR professionals need enough fluency to redesign workflows, guide new tools, and use AI as part of their own development.

Topics Discussed:

• How Bea's experience as a small business owner shaped her approach to HR
• Why HR decisions need to tie back to business impact
• How Newity's work with small businesses influenced its need for a dynamic organization
• Why AI adoption at Newity moved from product use cases to workforce-wide enablement
• How executive buy-in changed the pace of AI adoption
• Why curiosity matters more than simply giving everyone an AI license
• How Newity is using internal programs like "What Else Can AI Do?" to spark adoption
• How HR can use AI to connect performance, payroll, hiring, and knowledge-base data
• Why AI can help HR professionals prepare for better human conversations
• What HR should automate and what should remain relationship-led
• Why AI fluency may become a key expectation for HR talent
• How customized AI tools could reshape internal workflows across the business

If you are an HR leader trying to move your organization from AI interest to real adoption, this episode offers a practical look at the culture, leadership, and workflow changes that help AI become useful in day-to-day work.

Additional Resources:

• Cleary's AI-powered HR Chatbot
• Future Proof HR Community
• Connect with Bea Bouras on LinkedIn

In this episode of the Future Proof HR podcast, Jim Kanichirayil sits down with Chad Hartzell, VP of HR at Barletta Boats, to talk about what happens when an organization sees AI potential before it has a formal AI role, job description, or project plan.

Chad shares how Barletta, part of the Winnebago Industries brand portfolio, approached an opportunistic AI hire by starting with values alignment, letting the candidate help shape the interview, and mapping the role to the areas where it could create the most immediate business impact.

The conversation moves beyond AI as an HR-only story. Chad explains why Barletta first placed AI talent near customer experience and sales, how dealer feedback shaped the decision, and why improving service delivery can become part of a broader revenue and retention strategy.

Chad also talks about building AI as an organizational competency. From ChatGPT and Copilot to data integration, predictive analytics, and workflow automation, he makes the case that HR can help people understand where AI fits, how to apply it responsibly, and how to create real bandwidth for higher-value work.

Topics Discussed:

• Why Barletta hired AI talent before it had a formal AI job description
• How values alignment shaped the interview process for a nontraditional role
• Why the candidate led parts of the interview with Barletta's executive team
• How to co-create a role when the organization does not have a playbook yet
• Why customer experience became the first focus area for Barletta's AI work
• How AI can help connect warranty, service, technical, sales, and customer data
• Why AI strategy needs to tie back to people, innovation, differentiation, and scaling
• How HR can build AI competency across back-office teams like marketing, finance, HR, and IT
• Why repetitive tactical workflows are good starting points for automation
• What HR leaders can learn from early AI use cases in recruiting and operations

If you are an HR leader trying to move AI from a loose idea into practical organizational capability, this episode offers a grounded look at how to evaluate talent, build trust, and connect AI work to the business problems that matter most.

Additional Resources:

• Cleary's AI-powered HR Chatbot
• Future Proof HR Community
• Connect with Chad Hartzell on LinkedIn