The Work Blueprint

Siobhan Savage

Welcome to The Work Blueprint Podcast. This is where the leaders building the AI-powered workforce come together to redesign how work gets done. Each episode features conversations with CHROs, CIOs, Chief AI Officers, Work Architects, and enterprise leaders navigating one of the biggest shifts in a generation: the move from static job architectures to dynamic work systems built for humans and AI agents. From continuous work redesign and AI adoption to workforce transformation, organizational design, and the emergence of Work Architecture, we explore what it takes to build organizations that can adapt at the speed of change. The Work Blueprint is a conversation series hosted by Siobhan Savage. Honest conversations with the people redesigning how work actually works in the AI era. Not predictions or playbooks — what they're seeing, what they're betting on, what they're still figuring out. Because AI is changing work. The leaders who thrive will redesign it.

  1. 8 Jul

    Why AI adoption is the leadership test of the decade | Michael Fraccaro, former Fellow & CHRO, Mastercard

    In this episode, Siobhan Savage sits down with Michael Fraccaro, former Chief Human Resources Officer at Mastercard and now a Reejig advisor, to unpack what it actually takes to lead an organization through the AI era. Every CEO and board is pushing AI adoption, yet most companies remain stuck in early pilots, unsure of their workflows, their risk exposure, or how to bring their people along. Michael has spent his career at the center of large scale organizational change, and he now advises CHROs and executives across industries navigating this exact shift. This conversation moves past the hype and into the practical questions leaders are actually facing. Michael and Siobhan get into why AI adoption is not a technology problem but a leadership one, how HR's role in this shift is evolving, why the capability to redesign work has to live inside the company rather than with outside consultants, and what this all means for how organizations develop talent, structure jobs, and think about reward. In this episode, you'll learn: Why AI adoption is one of the biggest leadership tests organizations have faced How HR's role in AI adoption is shifting from ownership debates to shared responsibility Why the capability to redesign work needs to be built internally, not outsourced How organizations should rethink developing junior talent in an agent-enabled workplace Why job architecture needs to evolve into a more dynamic work architecture What the shift to agentic work means for compensation and reward design Michael Fraccaro is the former Chief Human Resources Officer of Mastercard. He now advises organizations and executives on leadership and workforce transformation, teaches at several universities, and works closely with startups shaping the future of work.  More from Reejig Access our Workforce Reinvention Blueprint Explore the Work Architect Academy Run an AI Impact Analysis Book a demo Browse all upcoming Reejig Events  📲 Connect With Us Follow Reejig: LinkedIn Follow Siobhan Savage: Instagram | TikTok | LinkedIn

  2. 8 Jul

    How Netflix's former CHRO thinks about work design in the AI era | Jessica Neal

    In this episode, Siobhan Savage sits down with Jessica Neal, former CHRO of Netflix and current advisor to Reejig, to open the first conversation in the Work Blueprint series. AI capability is compounding. Work visibility is not. Jessica led people through Netflix's shift from DVD to streaming, one of the most dramatic platform changes in business history, and now advises CHROs across the world's top technology companies as they face an equally dramatic shift with AI. This conversation is raw and unscripted. Jessica and Siobhan get into what actually happens inside large enterprises redesigning work for AI, why judgment is becoming more valuable than execution, why change management as we know it is obsolete, and why this moment is HR's biggest opportunity to become a true strategic partner to the business. In this episode, you'll learn: What Netflix's shift from DVD to streaming teaches us about leading through platform change Why judgment and decision making matter more than functional expertise in the AI era How to use an AI led versus human led framework to evaluate work Why enterprises may be more intentional about AI than fast moving tech companies Why some tasks should never be automated, even when they can be How to talk to employees about the hours AI unlocks in their day Why change management needs to become continuous, not a one time program How HR business partners, work designers, and work architects are becoming new critical roles Jessica Neal is the former Chief Human Resources Officer of Netflix, where she led people strategy through the company's transformation from a DVD business into the world's largest entertainment company. She now advises leading technology companies and CHROs on how AI is reshaping work and leadership. 🔗 More from Reejig Access our Workforce Reinvention Blueprint Explore the Work Architect Academy Run an AI Impact Analysis Book a demo Browse all upcoming Reejig Events  📲 Connect With Us Follow Reejig: LinkedIn Follow Siobhan Savage: Instagram | TikTok | LinkedIn

  3. 19 Feb

    How Enterprises Scale AI in Practice | Ben Schreiner, AWS

    In this episode, Siobhan Savage sits down with Ben Schreiner, Head of AI and Modern Data Strategy Business Development at Amazon Web Services (AWS), to explore how enterprises are scaling AI beyond experimentation. AI creates value only when it is applied to real work. Organizations that succeed map work at the task level, redesign workflows, and deploy AI into execution with clear measurement of impact. This conversation breaks down how leading enterprises move from proof of concept to operational scale. Ben shares how companies are structuring work, integrating AI into workflows, and building systems that deliver measurable outcomes while maintaining human oversight. The focus is practical. What works. What fails. And how leaders make AI part of how the business runs. In this episode, you’ll learn: How do enterprises move from AI pilots to real business impact? Why mapping work at the task level is critical before deploying AI What Ben Schreiner sees as the biggest blockers to AI adoption How AWS customers scale AI across workflows and operations What responsible AI execution looks like inside global enterprises Ben Schreiner leads AI and modern data strategy business development at AWS. He works with global organizations to design and scale AI strategies that deliver measurable outcomes across complex environments.   🔗 More from Reejig Access our Workforce Reinvention Blueprint Explore the Work Architect Academy Run an AI Impact Analysis Book a demo Browse all upcoming Reejig Events  📲 Connect With Us Follow Reejig: LinkedIn Follow Siobhan Savage: Instagram | TikTok | LinkedIn

  4. 01/12/2025

    How Enterprises Redesign Work for AI | Itai Asseo, Salesforce

    In this episode, Siobhan Savage sits down with Itai Asseo, Head of Incubation and Brand Strategy, AI Research at Salesforce, to explore how enterprises redesign work to make AI deliver real outcomes. AI is not plug-and-play. It requires a clear understanding of how work runs today and how it should change. Organizations that succeed focus on workflows, tasks, and execution, not isolated tools or experiments. This conversation unpacks how leading companies rethink operating models, redesign workflows, and integrate AI into real business processes. Itai shares how enterprises translate AI into measurable outcomes while maintaining creativity and human judgment at the center of execution. In this episode, you’ll learn: Why AI fails when work is not clearly defined How Salesforce approaches AI incubation and experimentation What it takes to redesign workflows for AI execution How companies balance automation with human creativity What separates AI pilots from real transformation Itai Asseo leads incubation and brand strategy within AI research at Salesforce. His work focuses on how emerging technologies translate into real enterprise use cases and measurable impact.   🔗 More from Reejig Access our Workforce Reinvention Blueprint Explore the Work Architect Academy Run an AI Impact Analysis Book a demo Browse all upcoming Reejig Events    📲 Connect With Us Follow Reejig: LinkedIn Follow Siobhan Savage: Instagram | TikTok | LinkedIn

  5. 18/11/2025

    How Mastercard Aligns AI and HR Strategy | Michael Fraccaro & JoAnn Stonier

    In this episode, Siobhan Savage sits down with Michael Fraccaro, Former Chief People Officer at Mastercard, and JoAnn Stonier, Fellow of Data and AI at Mastercard, to explore how enterprises align AI strategy with workforce execution. AI transformation requires coordination between technology and work design. Organizations that succeed align AI deployment with how work is structured, governed, and executed across the business. This conversation breaks down how Mastercard approaches AI at scale. Michael and JoAnn share how leaders balance innovation with governance, connect HR and AI strategy, and redesign work to support adoption. The focus is practical. How enterprises move from experimentation to execution while maintaining control, oversight, and measurable outcomes. In this episode, you’ll learn: How do enterprises align AI strategy with workforce execution Why collaboration between HR and AI leaders is critical What governance looks like in enterprise AI deployment How Mastercard structures AI transformation across phases What it takes to redesign work for AI adoption at scale Michael Fraccaro is the former Chief People Officer at Mastercard, where he led global workforce strategy and transformation. JoAnn Stonier is a Fellow of Data and AI at Mastercard, specializing in AI governance and responsible deployment across enterprise systems.   🔗 More from Reejig Access our Workforce Reinvention Blueprint Explore the Work Architect Academy Run an AI Impact Analysis Book a demo Browse all upcoming Reejig Events    📲 Connect With Us Follow Reejig: LinkedIn Follow Siobhan Savage: Instagram | TikTok | LinkedIn

  6. 13/11/2025

    How Micron Scales AI with Work Intelligence | Josh Bersin & Dennis Di Lorenzo

    In this episode, Siobhan Savage sits down with Josh Bersin, Founder and CEO of The Josh Bersin Company, and Dennis Di Lorenzo, Director of Skilling Strategy at Micron Technology, to explore how enterprises scale AI using Work Intelligence. AI cannot scale without understanding how work runs. Organizations that succeed move beyond skills frameworks and redesign work at the task and workflow level. This conversation breaks down how Micron approaches AI-driven transformation. Dennis and Josh share how enterprises shift from skills-based thinking to work-based execution, build trust in data, and deploy AI into workflows with measurable impact. The focus is on real transformation. How companies move from strategy to execution at scale. In this episode, you’ll learn: How does Micron scale AI across enterprise workflows Why skills-based models fail without work visibility What Work Intelligence enables in workforce transformation How leaders move from HR initiatives to enterprise strategy What it takes to redesign work in real time Josh Bersin is Founder and CEO of The Josh Bersin Company, advising global enterprises on workforce and AI strategy. Dennis Di Lorenzo leads skilling strategy at Micron Technology, driving enterprise transformation through work-based approaches.   🔗 More from Reejig Access our Workforce Reinvention Blueprint Explore the Work Architect Academy Run an AI Impact Analysis Book a demo Browse all upcoming Reejig Events    📲 Connect With Us Follow Reejig: LinkedIn Follow Siobhan Savage: Instagram | TikTok | LinkedIn

  7. 06/11/2025

    From Role Models to Work Intelligence | Josh Gosliner, SAP SuccessFactors

    In this episode, Siobhan Savage sits down with Josh Gosliner, VP of Product Strategy at SAP SuccessFactors, to explore how enterprises move from role-based models to Work Intelligence. Work data alone does not reflect how work actually runs. Organizations need visibility into tasks and workflows to deploy AI and improve execution. This conversation explores how SAP and Reejig are aligning systems to reflect real work. Josh shares how enterprises move beyond static role tracking, integrate AI into workflows, and redesign work with precision. The discussion includes a practical look at how work data enables better decisions, targeted reskilling, and measurable operational outcomes. In this episode, you’ll learn: Why role-based frameworks fail without work-level visibility How Work Intelligence improves workforce decisions What SAP customers need to scale AI adoption How AI connects to real workflows and execution What role job architecture plays in AI transformation Josh Gosliner is VP of Product Strategy at SAP SuccessFactors, where he leads innovation in workforce and AI strategy. He works with global enterprises to evolve systems that reflect how work is performed and managed at scale.   🔗 More from Reejig Access our Workforce Reinvention Blueprint Explore the Work Architect Academy Run an AI Impact Analysis Book a demo Browse all upcoming Reejig Events    📲 Connect With Us Follow Reejig: LinkedIn Follow Siobhan Savage: Instagram | TikTok | LinkedIn

About

Welcome to The Work Blueprint Podcast. This is where the leaders building the AI-powered workforce come together to redesign how work gets done. Each episode features conversations with CHROs, CIOs, Chief AI Officers, Work Architects, and enterprise leaders navigating one of the biggest shifts in a generation: the move from static job architectures to dynamic work systems built for humans and AI agents. From continuous work redesign and AI adoption to workforce transformation, organizational design, and the emergence of Work Architecture, we explore what it takes to build organizations that can adapt at the speed of change. The Work Blueprint is a conversation series hosted by Siobhan Savage. Honest conversations with the people redesigning how work actually works in the AI era. Not predictions or playbooks — what they're seeing, what they're betting on, what they're still figuring out. Because AI is changing work. The leaders who thrive will redesign it.