HR Data Labs

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292

Latest episode

Oct 2026

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EN-US

About the show

Unlock the future of HR, today with the HR Data Labs podcast! Dive into transformative insights, expert interviews, and cutting-edge practices that empower organizations to harness their workforce’s potential. Join us for engaging discussions that will inspire you to innovate, strategize, and lead with confidence! Tune in now!

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October 22, 202641 min

Nikki Stone - Architecting Resilience in a World of Constant Change

David Turetsky talks with Nikki Stone, author of Architecting Resilience, about what it takes to build teams, leaders, and organizations that can handle relentless change without falling apart. Nikki shares how her work in startup and large holding-company environments shaped her thinking on resilience, communication, and the real skills managers need to lead humans well.  Key topics  Nikki Stone explains how Architecting Resilience came from decades of experience across startup and corporate environments, including leadership roles in ad tech and large holding companies.  In this episode, Nikki shares how advanced pattern recognition, especially as a neurodivergent leader, helped her spot repeatable structures behind successful teams and scalable organizations.  David and Nikki discuss why many strong individual contributors are promoted into people management without being equipped for the role.  They explore the importance of creating separate career paths for high-performing individual contributors who do not want to manage people.  Nikki recommends mental health first aid training for managers as a practical way to better support employees without trying to act as therapist or doctor.  The conversation examines how sandwich-generation realities, such as caregiving, parenting, divorce, and aging parents, affect employee performance and leadership needs.  David and Nikki dig into neurodiversity in the workplace and why leaders need to adapt communication styles for creatives, technologists, and other distinct working styles.  Nikki shares a Venn diagram method for identifying strengths, gaps, and bridge-building experiences when planning career growth.  They discuss how learning can happen through audio, books, lectures, social feeds, and intentionally reshaping what you consume to support your goals.  The episode closes with a strong case for replacing fear-based management with purpose-driven, human-centered leadership that improves retention and organizational resilience.  Timestamps  00:00 - Welcome to the podcast and introduction to Nikki Stone  00:58 - Nikki’s current work: author, founder, podcast host, and executive leader  03:01 - The unexpected nervous habit: dancing and movement as regulation  04:11 - Music as a tool for shifting mood, focus, and resilience  06:58 - Why Nikki wrote Architecting Resilience  07:19 - Early exposure to business through her mother’s meetings  08:08 - Pattern recognition as a superpower in scaling organizations  09:20 - Why scaling inside large organizations is an art form  10:31 - The IQ, EQ, and CQ framework in ad tech and team building  13:40 - Managers need better tools to lead resilient teams  14:30 - Why not everyone should be pushed into people leadership  15:27 - Mental health first aid as a leadership tool  16:26 - Leading people through life complexity, not just output  18:55 - Why neurodivergent talent matters in modern organizations  23:53 - A Venn diagram method for finding strengths and growth gaps  25:31 - Using bridge experiences like nonprofit board service to build skills  27:32 - Learning late, learning differently, and building from audio first  29:53 - Reshaping social algorithms to support curiosity and growth  31:34 - Everyone has deficits, including managers  33:13 - Leadership training must include values, guardrails, and human context  35:09 - Fear-based employment and why paycheck-only motivation is unsustainable  36:41 - AI gives averages, but humans provide context and excellence  38:02 - Replacing return-to-office fear with purposeful gathering  39:26 - Retention, soul, and the cost of losing institutional memory  40:08 - Friction is not the enemy - it can reveal billion-dollar ideas  41:48 - Closing thoughts and a shared interest in continuing the conversation  Key frameworks  IQ, EQ, CQ - Intelligence, emotional intelligence, and contextual intelligence as the mix needed for effective leadership and team performance.  Venn diagram career mapping - A way to compare current strengths with future-role requirements and identify bridge skills.  Gather with purpose - Nikki’s approach to intentional in-person team time focused on connection, learning, and shared context.  Friction as signal - Reframing recurring friction as an opportunity to identify and solve meaningful business problems.  Notable quotes  “There is no such thing as normal.”  “You are working with humans and the humans are the actual parts.”  “Friction is not something to be feared; it's something to be embraced.” 

October 15, 202638 min

Jay Polaki - HR technology in 2027: AI readiness, trust, and the data problem

This episode looks at where HR technology is today and where it may be heading by 2027, with a focus on AI’s real impact on HR teams. David Turetsky is joined by Jay Polaki, CEO of HR Geckos, to unpack why so many organizations have access to AI tools but still lack the data, governance, and skills to use them well.We discuss the growing gap between AI enthusiasm and operational readiness, why HR is still unclear on its role in AI strategy, and why the conversation needs to shift from hype to use cases, trust, and measurable outcomes.  Key topics  Jay Polaki, CEO of HR Geckos, explains that HR Geckos is a people-centric co-pilot for HR operations, built by HR for HR.  The episode opens with a lighter note about Jay’s unexpected appearance on MTV during a Russell Peters event clip.  The central theme is that AI access is no longer the main problem — scaffolding is.  Jay shares findings from HR Geckos’ “AI Ready or Not” roadshow, based on conversations with about 55 HR and business leaders across multiple sessions.  Many organizations have AI tools, but data quality, governance, ownership, and funding remain unclear or incomplete.  David raises concerns about security risks, especially employees using consumer AI tools with sensitive HR and PII data.  The discussion highlights a split in AI maturity:   Some HR teams have no access and no training.  Others are forced to use AI with little or no education.  ROI is a major sticking point, with both speakers arguing that most organizations are measuring the wrong things or measuring too early.  Jay says the best way to deploy AI in HR is by starting with a specific use case, not a broad enterprise rollout.  HR service delivery and the HR service desk are identified as one of the most likely near-term AI investment areas.  The conversation repeatedly returns to trust, especially around governance, role clarity, and employee anxiety about job loss.  David and Jay agree that AI is more likely to augment workers than replace them, and that people who know how to use AI will outpace those who do not.  Jay argues that HR should stay central to reskilling, learning and development, recruiting, and re-engineering processes.  The episode ends with a strong warning against using AI for sensitive compliance work without human oversight.  Timestamps  (00:00) Opening the HR technology conversation with Jay Polaki (01:12) Jay introduces HR Geckos as a people-centric HR ops co-pilot (02:17) Jay’s unexpected MTV cameo and the Russell Peters story (04:42) Why 2026 feels chaotic for HR technology and AI (05:23) Roadshow findings from 55 HR and business leaders (06:21) AI access is widespread, but scaffolding is missing (07:47) Why data, ownership, and governance are still unresolved (09:18) Security concerns around employees using consumer AI tools (10:29) Two extremes of AI readiness in HR teams (11:26) Large organizations vs. smaller firms in AI adoption (12:23) Trust is the biggest barrier to AI deployment (13:14) Why AI desktop tools raise privacy and control concerns (14:11) Why AI was often used as a cost-cutting tool before HR was ready (15:22) Why ROI is hard to define for AI in HR (16:46) The real friction is data readiness and skills readiness (18:09) Why the best AI deployments start with a single use case (18:34) Why the HR service desk is a likely next AI investment (20:30) Start with why, then move to how (21:57) Why AI should be deployed in baby steps (22:56) Centralizing siloed HR data before scaling AI (24:21) Why leaders are unsure about HR’s role in AI strategy (26:08) Mixed views on HR’s AI future: curious, transformational, undefined (27:29) Where HR can lead: skills, learning, recruiting, and re-engineering (28:32) AI in talent management and the future of interviewing (29:30) Governance gaps, risk levels, and access controls (30:28) HR’s role in managing worker anxiety about AI (31:47) Trust and governance as urgent CEO, CHRO, and CTO issues (33:27) AI as a tool, not a replacement for people (34:04) Why the doomsday narrative is overstated (35:12) Why AI is still “pretty dumb” without human training (36:04) Augmented intelligence and human judgment in tandem (38:12) Why AI still cannot handle HR compliance on its own (39:12) Government scrutiny and accountability risks (39:50) Wrap-up and HR Tech conference frustrations for service providers  Notable quotes  “Technology should elevate people, not replace them.”  “We’ve solved the AI access issue — ownership, funding, data, governance, all of that is still in flux.”  “People who know how to use AI will replace people who don’t know how to use AI.” 

October 8, 202642 min

Gabriella Garcia - Build vs Buy in People Technology: AI, Guardrails, and the New Role of HR

David Turetsky interviews Gabriella Garcia, COO and Chief People Officer at Warp, about how AI is reshaping the build versus buy decision in HR and people operations. They dig into why this question is changing now, what guardrails matter for sensitive data, and why people leaders need to take a more strategic role in technology decisions. Gabby shares how her engineering background informs her view of modern people tech, while David adds real-world context from years of hacking together internal systems. Together, they explore how AI lowers the barrier to building, but also raises new questions around governance, cost, and organizational design.  Key topics  In this episode, Gabby Garcia explains Warp’s mission as an AI native employee management platform handling payroll, benefits, state tax compliance, and HR systems for more than 1,200 customers.  David and Gabby compare today’s AI-enabled build culture with older eras of custom tooling, including early internal dashboards and Access database work.  Gabby says the build versus buy equation has changed because non-engineers are now more technical and because tools like Claude Code and Lovable reduce the activation energy for prototyping.  The conversation centers on the risk of rogue projects, especially when people teams handle PII, PHI, SSNs, birthdays, payroll data, and other sensitive information.  Gabby points to Shopify as an example of a company encouraging broad internal experimentation, while also surfacing the downside of AI slop, access issues, and repetitive low-value tools.  She argues for cultural guardrails, approval rules, and manager review processes rather than blanket bureaucracy.  The discussion shifts to the engineering function, where Gabby says engineers are increasingly becoming prompt-driven problem solvers and thought partners rather than manual code producers.  David and Gabby agree that this changes organizational DNA, especially when non-engineering teams can build internal tools, bots, and workflows that still need governance.  Gabby makes the case that people leaders, not just CIOs or CTOs, should lead AI adoption strategy because they own talent, enablement, growth, and role evolution.  The episode closes on token spend, cost control, and the need for finance and people teams to understand model selection, usage caps, and the accounting implications of AI spend.  Timestamps  00:00 - Introductions and Gabriella Garcia’s background at Warp 01:35 - From Colombia and Miami to MIT and engineering at Facebook, Apple, and Google 02:38 - What Warp does as an AI native employee management platform 03:38 - Fun fact: Gabby’s unusual sense of balance 05:28 - Why build versus buy is changing in HR and people tech 06:10 - More technical people are now building prototypes themselves 07:37 - Low-code and AI tools lower the barrier to entry 09:45 - Why PII, PHI, and compliance make people tech risky 10:11 - Shopify’s “build whatever you want” AI experiment 12:28 - How long old internal tool-building used to take 13:48 - Why innovation needs risk awareness, not reckless experimentation 14:40 - Borrowing engineering-style PR reviews and testing for people tools 16:44 - The future of engineering in an AI-native workplace 17:41 - Engineers, designers, and operators as prompt-based builders 18:10 - AI as a thought partner, chief of staff, and first-pass reviewer 19:38 - Internal tools can be pushed to managers, but customer-facing work still needs engineers 20:22 - How AI changes the DNA of an organization 22:17 - Why the people function should drive adoption strategy 23:11 - OpenAI’s people leadership and the future of every role 24:55 - Why technical depth in a CPO matters for AI transformation 26:14 - People teams have been implementing tech for years, but AI is different 27:39 - Technology adoption takes time, and the AI curve is still early 28:45 - Bad HR data and weak products still block mobile adoption 29:11 - Skipping the messy middle of legacy systems in emerging markets 30:35 - How chat-based tools and image-based workflows improve accessibility 32:14 - Serving small businesses and frontline teams with practical AI 33:40 - AI may make customization accessible beyond large enterprises 34:38 - Token costs, model selection, and the ROI of AI tools 35:55 - One sales rep’s token bill as a cautionary tale 37:18 - Education gaps around model choice, data access, and rollout strategy 38:13 - Token spend as a new cost per employee problem 39:09 - Why accounting and capitalization rules matter for AI spend 40:09 - Tracking utilization and setting token caps 41:00 - Hardware choices, open source models, and reducing model spend 42:11 - A future conversation on tokenomics and people leader skills 43:08 - Moving from experimentation to pragmatic implementation 44:24 - Why every organization needs its own AI point of view  Notable quotes  “The people function is in service of the people.”  “There are ways in which we can absorb and implement a lot of the learning from other organizations.”  “My recommendations are likely not a great fit for your business.” 

October 2, 202610 min

IBEJesus Prince - What We Learned From The National Association of Counties Annual Conference

David Turetsky speaks with IBEJesus Prince from HR Data Labs Consulting about their time at the NACO conference and what stood out most. The conversation is short but clear: the event brought together people who were focused on finding practical solutions, and even attendees outside the immediate decision-making circle were willing to help connect the dots.  Key topics  In this episode, David Turetsky introduces the conversation from the HR Data Labs Podcast and frames it around the team’s experience at the NACO conference.  IBEJesus Prince, a principal consultant at HR Data Labs Consulting, shares a broad conference takeaway: the people at NACO were genuinely solution-driven.  A major theme is the value of openness at the conference — even people who were not directly responsible for making decisions still cared about moving a solution forward.  The guest notes that asking questions often led to the right person, which made the event feel collaborative rather than blocked by hierarchy.  Commissioners and other officials were mentioned as people the team met, reinforcing that the event brought together stakeholders with influence and interest.  The conversation highlights a contrast between environments where non-experts become blockers and this conference, where people helped route questions and support progress.  IBEJesus emphasizes that the organization and the people they met left a strong positive impression.  The episode closes, suggesting this was a brief conference check-in rather than a full-length interview.  Timestamps  00:00 - Testing the audio and getting set up 01:41 - David introduces the HR Data Labs Podcast and the guest 01:57 - Why the NACO conference was the focus of the conversation 02:08 - A quick personal icebreaker before the main topic 03:41 - First conference takeaway: people were solution-driven 04:06 - Commissioners and officials were open to connecting people to answers   04:33 - Why the event felt collaborative instead of blocked by hierarchy 04:52 - The conversation wraps up early

September 24, 202627 min

Sushma Tripathi - The State of HCM: How HR Leaders are Modernizing People, Process and Technology in an AI- Enabled World

David Turetsky and Sushma Tripathi discuss where human capital management is headed, why HR modernization is harder than simply adding new software, and what leaders need to fix first. Sushma brings more than 25 years of HCM strategy experience across product, operations, staffing software, and advisory work, so the conversation stays grounded in what organizations are actually facing.In this episode, they focus on the shift from transactional HR to AI-enabled operations, the burden of process and technology debt, and why workforce management is becoming the backbone of modern HR transformation.  Key topics  Sushma Tripathi’s background spans HR, benefits, actuarial work, product development, COO and CPO roles, and strategic advisory work, giving her a broad view of HCM change.  The industry is moving from transactional HR to more intelligent, integrated, AI-enabled operations.  Many organizations are stuck with fragmented processes, legacy systems, unclear ownership, and outdated configurations that no longer match current needs.  Process debt and technology debt are major blockers, especially when old workflows and old system settings keep surviving years of change.  Decision rights confusion is a recurring issue - HR, operations, finance, and IT often all touch the same workflows without clear ownership.  AI readiness is limited by data quality, governance, and change management, not by the AI tools themselves.  Workforce management is emerging as the anchor for operational excellence, especially around scheduling, labor models, compliance, productivity, and outcomes.  Employee self-service and manager self-service still matter, but users now expect experiences that feel as simple and intuitive as consumer apps.  Many organizations are asking whether to buy new technology or improve what they already have first.  Sushma emphasizes that HR is becoming a strategic operations partner, not just a people-management function.  Timestamps  00:32 - Welcome to the HR Data Labs podcast and introduction to the conversation 01:44 - Sushma Tripathi’s 25-plus years in HCM strategy and leadership 03:47 - A personal story about hiking and the challenge of Angels Landing 06:25 - Transitioning into the real topic: HCM modernization and AI 07:47 - Why HR is moving from transactional work to intelligent, AI-enabled operations 09:59 - Process debt and technology debt are slowing organizations down 11:57 - Why employee and manager self-service still matters 14:52 - Why maturity level changes the pace of modernization 16:52 - Where organizations should start when modernization feels overwhelming 18:29 - How AI should fit into end-to-end workflows, not just isolated tasks 19:24 - Why governance and data configuration are still foundational 21:25 - Why every organization needs continuous operating-model revision 22:33 - Cleaning, combining, and using data before expecting better outcomes 23:03 - Baby steps, outside help, and why AI tools do not fix broken processes 25:39 - Why workforce management is the biggest concern going forward 26:02 - What workforce management includes beyond time tracking 27:00 - Compliance, fines, penalties, and brand risk in workforce management 28:28 - Closing thoughts and goodbye  Notable quotes  “Data quality, not AI, is actually the biggest barrier.”  “Because just because you have a hammer, everything is not a nail.”  “You can't just go into Chat GPT and say fix me.” 

September 17, 202641 min

Jennifer McClure - Why HR Needs Disruption

Jennifer McClure joins David Turetsky to unpack how her career in HR, executive search, speaking, and coaching led to Disrupt HR. The conversation focuses on why HR gets blamed for business problems, how leaders can stop using HR as a scapegoat, and why true disruption means rethinking both broken processes and the ones that only seem fine.  Jennifer McClure shares a practical case for moving HR beyond administration and into real business influence, while David Turetsky pushes on the everyday realities of performance management, remote work, compensation, and accountability.    Key topics  In this episode, Jennifer traces her path from nearly 20 years in corporate HR leadership to executive search, then into speaking, coaching, and launching Unbridled Talent.  She explains how Disrupt HR began as a way to surface ideas from people who may not have a speaker reel or prior speaking experience but still have something meaningful to say about the future of work.  Jennifer argues that HR was originally built as an administrative function, but the profession has evolved and now has a chance to influence business strategy far more directly.  She challenges the old “seat at the table” mindset and says the real issue is not seating, but whether HR leaders actually understand the business and how people drive results.  David and Jennifer discuss how HR often becomes the dumping ground for decisions leaders do not want to own, especially around performance management, compensation, culture, and employee relations.  Jennifer emphasizes that HR should not automatically say “no” and take the blame. Instead, managers should be required to make the case and own their decisions.  The conversation uses examples from remote work and compensation to show how easily leaders pass responsibility to HR without first having the difficult conversation themselves.  Jennifer explains that Disrupt HR is not just about fixing broken systems. It also asks whether working processes could be simpler, faster, more human, or more useful.  She compares workplace experiences to consumer experiences, like Netflix recommendations, Amazon suggestions, and frustrating phone trees, to show how people expect better design at work.  David and Jennifer talk about the value of short-form ideas, different audience reactions, and why a talk or process does not need to please everyone to be worthwhile.  Jennifer closes by encouraging listeners to disrupt themselves, their organizations, and even processes that appear to be working well, because innovation often starts with a better question.    Timestamps  00:00 - Intro to Jennifer McClure and the HR Data Labs conversation  01:10 - From corporate HR leadership to executive search and speaking  03:34 - Why Unbridled Talent got its name and what Jennifer does now  04:37 - Executive coaching, speaking, and the origins of Disrupt HR  05:20 - A fun fact: farming, horses, and Tennessee roots  07:08 - Why the topic of HR disruption matters right now  08:12 - Why HR has been seen as ripe for disruption  09:23 - From administrative personnel work to “seat at the table”  10:20 - What “being strategic” in HR really means  11:06 - Talent strategy and business strategy should be integrated  12:04 - The real opportunity for HR influence and business impact  13:32 - Why some leaders still only want transactional HR  14:19 - Business leaders blaming HR for problems they do not want to own  16:10 - Reframing “HR always says no” into manager accountability  17:45 - A real example of remote work, blame, and chain-of-command confusion  19:48 - Compensation example: when a late request cannot be approved     21:27 - How HR can remove itself as the scapegoat and push ownership back up  23:08 - What Disrupt HR actually is and how the format works  24:30 - Bringing in voices from outside HR to improve work  25:57 - Disruption is not only for broken things  26:46 - Looking at consumer experiences to redesign workplace processes  28:32 - Why outdated phone trees and apply processes frustrate people  29:05 - The importance of asking why a process exists in the first place  30:42 - Over 11,000 five-minute Disrupt HR talks and why the format works  31:55 - Why not every presentation lands with every person  33:47 - Preparing a keynote and accepting mixed audience feedback  35:02 - Why short, focused presentations fit how people consume information now  36:39 - Where to learn more about Disrupt HR and why disagreement matters  37:07 - Laurie Ruettimann, strong opinions, and learning from disagreement  38:32 - What listeners should take from short talks and different viewpoints  40:20 - Final thoughts on disrupting work, organizations, and yourself    Notable quotes  “I think HR gets blamed for a lot.”  "I challenge you to disrupt yourself, your organization, your people.”  “This is the definition of innovation.”    Action items  Ask why a process exists before assuming it should stay the same.  If a manager wants to take action, ask them to own the decision and make the case.  Look for one process that is broken and one that seems fine but could be better.  Compare your workplace experience to the consumer experience you expect outside work.  Revisit assumptions about HR being the default owner of every uncomfortable business problem. 

September 10, 202633 min

Betsy Irizarry - The Compensation Risk Most Companies Don't Measure

In this episode of HR Data Labs Podcast, host David Turetsky is joined by Betsy Irizarry, CEO and founder of HR Contempo, to unpack one of the most overlooked compensation risks in modern organizations: pay compression. They also discuss how AI, labor market pressure, mergers and acquisitions, and communication gaps are reshaping workforce strategy and employee trust. Betsy brings 25-plus years of HR experience across industries including technology, professional services, agriculture, and energy, making this a practical conversation about what leaders are missing and what they need to do next.  Key topics  Betsy Irizarry shares how HR Contempo helps organizations with human capital issues, especially mergers and acquisitions and compensation work.  Pay compression is becoming more common as companies raise pay to compete for new hires while leaving long-tenured employees behind.  Labor market pressure is intensifying the problem, especially in skilled trades like plumbing and electrical work tied to data centers and other growth sectors.  David and Betsy connect today’s compensation challenges to pandemic-era pay decisions that created long-term ripple effects.  Mergers and acquisitions often focus on financial and operational integration while overlooking compensation structure and job analysis.  Simply matching job titles is not enough in M&A work because the actual work, scope, and responsibilities may be very different.  AI is creating a new kind of compensation pressure as companies pay more for employees who can use AI tools to generate insights and move faster.  Betsy argues that organizations must balance AI adoption with institutional knowledge, since experienced employees still bring critical context.  Workforce readiness for AI is uneven, so organizations need to assess who can reskill and who may struggle to adapt.  Total rewards matters more than base pay alone, including benefits, 401(k), employee assistance programs, development, and other perquisites.  Communication is a major theme throughout the conversation, especially around pay transparency, manager training, and helping employees understand total compensation.  The episode closes on the idea that compensation conversations should become more open, business-oriented, and positive.  Timestamps  00:00 - Welcome to HR Data Labs Podcast and introduction to Betsy Irizarry 01:07 - Betsy’s background and HR Contempo’s focus on human capital and M&A 02:14 - Betsy’s travel habit of studying how businesses operate in different places 04:22 - Episode topic: pay compression and AI reshaping workforce strategy 05:30 - The most common compensation challenge Betsy sees across clients 06:42 - How pandemic-era pay decisions still affect compensation today 07:19 - Labor market pressure and why skilled trades are at risk of compression 08:49 - Solar and IT examples of demand spikes driving wage pressure 10:02 - Why M&A can create major pay compression if compensation is ignored 11:06 - Job description management and why titles alone do not tell the full story 12:35 - AI skills becoming a premium and the risk of losing institutional knowledge 13:37 - Should companies hire AI talent or reskill current employees? 15:23 - Why outcome-based AI use matters more than activity metrics 16:50 - Walmart self-checkout as a cautionary tale about automation and human oversight 18:49 - HR’s role as the sounding board for leaders on cost-cutting and people strategy 20:07 - What pay compression means, with a practical salary example 21:50 - Ways to address compression without giving everyone the same raise 23:27 - Why total rewards is broader than base pay and benefits 24:04 - Differences between companies with strong total compensation packages and those without 25:36 - The need to overcommunicate total rewards through statements and ongoing manager conversations 26:50 - Why merit review should include the full compensation picture 27:48 - Does pay transparency actually improve equity? 29:33 - Training managers and employees to have business-oriented pay conversations 31:04 - AI makes pay and company information easier to find, increasing the need for honest communication 32:18 - HR’s responsibility to advise leaders and support employees’ basic need to be paid fairly  Notable quotes  “AI won't replace you. Someone who understands AI and uses it as a tool will replace you if you don't.”  “At the end of the day, they just want to get paid so that they can go back home and have a good life.”  “Let's have continue to have conversation, meaningful conversations with our leaders and our employees.” 

September 3, 202631 min

Denise Triba - Using HR operational data and AI to improve service delivery

In this episode, host David Turetsky speaks with Denise Triba, CHRO at Ingenovis Health, about how her HR team is using workflow mapping, ticketing data, and AI to improve service for clinicians and internal teams. The conversation centers on a practical, human-in-the-loop approach to AI, with Freddie, their internal AI tool, trained to handle repetitive HR questions faster and more accurately. We discuss how a workforce solutions company thinks beyond recruiting, why understanding the work before applying technology matters, and how better HR operations can improve clinician experience, response speed, and career development.  Key topics  David introduces Denise Triba, CHRO at Ingenovis Health, and frames the episode around operational data and AI in HR.  Denise explains that Ingenovis Health is a workforce solutions company supporting healthcare providers and life sciences organizations with the right workforce mix.  The discussion distinguishes Ingenovis from a traditional recruiting function, emphasizing a consultative model that optimizes client workforce needs.  Denise shares how the pandemic increased healthcare organizations’ need for more precise staffing and stronger workforce partners.  The HR team started with workflow mapping to understand exactly how work was being done before adding technology.  A ticketing system was introduced to validate assumptions and quantify the most common HR requests.  The team identified high-volume issues such as benefits enrollment and leave requests, then began training Freddie to handle those questions.  Denise describes Freddie as an internal AI tool still in beta, used between HR and IT before external release.  The conversation covers human review, validation, and hallucination prevention, with subject matter experts writing and checking training articles.  Denise explains that AI is helping reduce repetitive work, improve first-response accuracy, and free HR coordinators for more valuable work and career growth.  The episode closes with advice for HR teams: start with the process and the people doing the work, then apply technology to enhance it.  Timestamps  00:00 - Opening and introduction to the episode 00:32 - David introduces Denise Triba and Ingenovis Health 01:01 - What Ingenovis Health does as a workforce solutions company 01:47 - The kinds of healthcare roles Ingenovis supports 02:38 - Denise’s background and early interest in medicine 03:48 - Why the episode focuses on operational data and AI in HR 04:24 - Employee and clinician experience as a top priority 05:21 - Why Ingenovis is more than a recruiting team 06:33 - The mix of W-2 employees and 1099 contractors 07:34 - Why facilities choose workforce solutions over direct hiring 08:33 - How healthcare organizations changed after the pandemic 09:04 - Starting with workflow mapping before introducing AI 10:03 - Using ticketing data to validate top HR call categories 10:29 - Tracking 3,000 calls and training Freddie with real data 11:33 - How workflow data shows friction and points to automation 12:10 - Faster, more accurate information for clinicians and HR coordinators 12:55 - Benefits enrollment as the most common question 13:22 - Other repeat requests like leave support 14:34 - Writing articles to train Freddie on core answers 15:04 - Subject matter experts validating Freddie’s responses 15:48 - Avoiding misinformation and limiting scope during early rollout 16:34 - How Freddie is used internally in beta 17:22 - Better capture rates and fewer repeat follow-up emails 18:44 - Extending clinician satisfaction through better service 20:15 - When Freddie needs human support and escalation 20:40 - Employment verification as an example of a hybrid workflow 21:43 - Using AI across client-facing and sales-side operations 22:59 - What surprised the team most about implementing AI 23:56 - How the project is expanding into other HR workflows 24:27 - Addressing fears that AI would take jobs away 26:05 - Cost considerations and working within budget 27:21 - The value of strong HR and IT partnership 28:37 - Advice for HR teams considering AI adoption 29:28 - Closing reflections on the scientific, process-first approach 29:54 - Looking ahead to future updates on Freddie and beyond  Notable quotes  “You really need to understand the what before you start to apply the how.”  “If you have to teach someone, you learn it.”  “This isn’t about a workforce change internally. This is about how do we get better."

August 27, 202632 min

Nicole Ward - The Executive Athlete: Why Leaders Need Recovery to Perform

David Turetsky talks with Nicole Ward of Aon about her concept of the executive athlete and why leadership performance is built on physiology, recovery, and sustainable habits. They explore how burnout shows up in executives and sales teams, and why HR can play a major role in reframing wellness as a business performance issue.Nicole shares her own wake-up call, the accident that pushed her to rethink health, and practical ways leaders can build better energy, focus, and resilience without “boiling the ocean.”  Key topics  Nicole Ward’s background at Aon - Senior vice president of sales with a career rooted in professional services, public accounting, and now commercial insurance.  The origin of the executive athlete idea - Nicole’s near-fatal rollover accident became the catalyst for a long-term shift toward health and wellness.  Physiology as leadership infrastructure - Her central idea is that energy is the currency of performance, and leaders who are under-slept, under-nourished, and constantly “on” are not operating at full capacity.  Why burnout matters organizationally - Burnout, dysregulation, and chronic stress in senior leaders have downstream effects on teams, culture, and decision-making.  Culture rewards overwork - The conversation pushes back on the idea that always being available is a badge of honor, especially in executive roles.  Recovery improves performance - Nicole argues that slowing down and recovering is not weakness but a competitive advantage supported by real data.  Small changes beat all-or-nothing thinking - She recommends “exercise snacks,” breathing breaks, short movement intervals, and better sleep habits rather than unrealistic total overhauls.  Data can drive behavior change - She shares an example of a sales team using wearable devices over six months to track sleep, stress, and activity, leading to better performance and better well-being.  HR’s role in changing the conversation - HR professionals can bring wellness into strategic planning sessions and ask leadership how health is being prioritized.  Bio-individual wellness at work - Nicole emphasizes that companies should offer flexible options because different people need different supports, from meditation space to gym access to better snacks.  Timestamps  00:00 - Welcome to HR Data Labs and introduction to Nicole Ward 01:12 - Nicole’s role as senior vice president of sales at Aon 02:15 - The accident that sparked the executive athlete journey 03:14 - Why executives need physiology, not just willpower 06:54 - How boardroom experience shaped the platform 07:24 - A team member’s comment that changed everything 08:21 - Why the book is aimed first at sales athletes and then all executives 09:30 - Recovery as a competitive advantage, not weakness 10:43 - The cost of working until collapse 11:20 - The “toxic capacity” bucket and signs of overload 12:19 - Why leaders struggle to fully disconnect 13:26 - Tying recovery to revenue and metrics 14:41 - Burnout in sales and other high-pressure roles 15:31 - Alternatives to always being “on” 16:25 - Why all-or-nothing thinking fails 17:26 - Using micro-habits for sleep, breathing, and movement 19:37 - A six-month wearable experiment with a sales team 21:33 - Salespeople as athletes and why preparation matters 22:48 - Why companies should treat wellness as a real priority 23:45 - The biology of organizations and employee energy 24:48 - How HR can start the conversation with leadership 26:14 - Bringing health and wellness into strategic planning 27:10 - Example of no meeting Fridays 28:46 - Why a bio-individual approach is better than one-size-fits-all 29:15 - Personalized wellness options for different employees 30:11 - The reality of obesity, inflammation, and dysregulation 31:11 - Incremental progress in the face of broader stress 32:01 - Closing thoughts and final thanks  Notable quotes  “Physiology is the infrastructure of leadership and energy is the currency of performance.”  “When we decelerate, when we allow ourselves to recover, we adapt.”  “My best tomorrow starts tonight.” 

August 6, 202627 min

Season 11 Recap

In this episode, we reflect on the most impactful themes from season eleven of the HR Data Labs Podcast, emphasizing the transformative role of artificial intelligence (AI) in the world of work. Host David Turetsky discusses how AI has become a central focus across industries, influencing regulation, data governance, organizational change, and HR practices. Tune in for a comprehensive summary of trends, predictions, and key conversations that are shaping HR’s future.  Key Topics Covered:  The dominance of artificial intelligence in season eleven and its influence on HR.  The importance of data governance for AI integration, highlighted by insights from Talenode.  Practical applications of AI, including the use of large language models and local AI hosting solutions.  Discussions with industry experts on AI ethics, security, talent acquisition, and leadership.  Predictions and insights about AI’s role and regulation in HR over the next six months and beyond.  Notable interviews with HR thought leaders discussing organizational change, burnout, women in leadership, and HR technology innovation.  Future episodes focusing on pay equity, county-level HR issues, and machine learning use cases.  Timestamps:   00:00 - Welcome and season eleven wrap-up overview 00:33 - Changes in HR over the past years and current transformations 01:31 - Introduction of chickens and personal updates 02:29 - Recap of season eleven and its focus on artificial intelligence 03:12 - AI’s influence on organizational change, trust, and data governance 03:57 - The importance of data foundations for AI initiatives 04:27 - The increasing integration of AI into daily work and business practices 04:56 - The evolution from early computer use to AI today 05:54 - The proliferation of AI tools in corporate technology stacks 06:24 - Environmental and infrastructure challenges of AI data centers 07:10 - Advances in small form factor AI hardware and local hosting options 08:07 - Real-world AI applications at the desk and secure data practices 09:34 - Building AI models with retrieval-augmented generation (RAG) techniques 10:03 - Resources available at hrdatalabs.ai and hrdatalabs.com 11:02 - Notable interviews, including legal, security, talent acquisition, and leadership insights 12:29 - Reflection on season eleven, personal connections, and upcoming season twelve topics 13:00 - Highlights from upcoming episodes, including county HR challenges and practical AI applications 14:26 - Reviewing past predictions and setting new forecasts for the next six months 15:25 - Using AI to evaluate predictions and industry trends 16:17 - The shift from AI experimentation to measurable ROI in HR 17:44 - Current state of HR AI use cases, human-in-the-loop importance, and regulatory outlook 19:11 - Predicted regulation developments at the state and federal levels 20:44 - Host’s forecast: increased progress in AI adoption and ROI validation in HR 22:36 - The impact of AI-related layoffs, rehiring, and reputational considerations 25:02 - Exciting plans for future episodes, conferences, and continued industry insights 26:26 - Appreciation for listeners and partners, and encouragement to follow the show  This episode offers a deep dive into the evolving landscape of HR technology, emphasizing AI’s transformative potential and ongoing challenges. Whether you’re an HR professional, a business leader, or an enthusiast of HR innovation, these insights provide vital context for navigating the future of work. 