The Work Blueprint

In this episode, Siobhan Savage sits down with Sarah Bernstein, VP of Organizational Transformation and Capability Development at Lumen Technologies, fresh off a live workshop where Reejig, Microsoft, and Lumen's team spent a full day redesigning real workflows together.
Lumen is going through multiple transformations at once: shifting from a traditional telco to a digital network service provider, while simultaneously reimagining how its people and AI agents work side by side. Sarah leads that effort, spanning workforce strategy, learning and development, and the operating rhythms that turn AI ambition into results people can actually feel.
This conversation goes beyond the keynote version of AI transformation. Sarah and Siobhan get into what it actually looked like in the room: mapping tasks down to the subtask level, deciding what stays human and what gets handed to an agent, and the moment a shipped bug revealed that nobody on the team could read the code anymore because AI had written it. They also unpack why entry-level roles need to be redesigned rather than eliminated, and what a real AI work design team looks like once you move past borrowed expertise and start building the capability in-house.
In this episode, you'll learn:
What it looks like inside a live workshop redesigning work with AI
Why understanding work at the subtask level matters more than a high level task list
The four steps Lumen uses to redesign an operating model for AI
Why just-in-time learning has to replace one-time prompt training
What happens when AI-written code creates bugs nobody can find
How AI can be used to fast-track early career development instead of cutting it
What competencies and roles make up a real AI work design team
Sarah Bernstein is the Vice President of Organizational Transformation and Capability Development at Lumen Technologies, where she leads enterprise-wide efforts spanning AI workforce transformation, leadership development, and learning strategy as the company evolves into an AI-enabled digital network service provider.
 
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In this episode, Siobhan Savage sits down with Robyn Tombacher, who leads the Integration Management Office and global business redesign team at Warner Bros. Discovery, to unpack why most companies are stuck testing AI instead of scaling it, and what it actually takes to fix that.
Robyn's career has taken her from digital producer to operations leader to workforce strategy at WPP, and now to sitting at the center of one of the biggest media mergers in the industry. That mix, someone who understands the technology, the business, and the people side all at once, is exactly why this conversation goes further than most.
This conversation moves past the pilots and platforms and into what's really slowing AI adoption down: companies spending heavily on enterprise tools without redesigning the work, roles, and responsibilities underneath them. Robyn and Siobhan get into why "dabbling" in AI doesn't drive material impact, why CIOs, CHROs, and CFOs now have to own this together, and why every organization is going to need someone who can bridge all three.
In this episode, you'll learn:
Why dabbling in AI without a plan costs companies money and delivers little return
How CIO, CHRO, and CFO ownership of AI adoption is converging into one shared conversation
Why redesigning the work itself matters more than automating tasks in isolation
How boards are shifting from "cut headcount" thinking to "where's the AI opportunity" thinking
Why every organization will need a capability that bridges technology, business, and people
What it takes to build AI capability inside a company instead of relying on outside consultants
Robyn Tombacher leads the Integration Management Office and global business redesign team at Warner Bros. Discovery. Over a 25-plus year career, she has led major change efforts at the intersection of people, operations, and technology, including workforce strategy at WPP, and now sits at the center of the Warner Bros. Discovery and Paramount Skydance merger.
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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.
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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.
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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.
 
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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.
 
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In this episode, Siobhan Savage sits down with Dr. Kathi Enderes, SVP Research and Global Industry Analyst at The Josh Bersin Company, to explore how AI is changing how work is designed.
Work is shifting from static roles to dynamic, task-based execution. Organizations that adapt gain visibility into how work runs and can redesign workflows to improve outcomes.
This discussion breaks down new research on dynamic work design and how enterprises move from skills-based models to task-level execution. Kathi shares how leading organizations are building adaptive systems that connect AI to real business outcomes and enable continuous work redesign.
In this episode, you’ll learn:
What dynamic work design means in practice
Why job-based models are breaking down
How task-level visibility improves execution
What leading enterprises are doing differently
How AI changes workforce structure and capability
Dr. Kathi Enderes is SVP of Research and Global Industry Analyst at The Josh Bersin Company. She leads research on workforce transformation, AI, and how organizations redesign work for the modern enterprise.
 
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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.
 
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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.
 
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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.
 
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