Alter Domus

ELE Group, LLC

<blockquote>"AI is cosmically stupid if it doesn't have context." — <a href="https://www.ele.llc/members/christopher-lind" target="_blank" rel="noopener">Christopher Lind</a></blockquote>
That line set the tone for everything that followed on March 12.

<a href="https://www.ele.llc/members/anton-maletich" target="_blank" rel="noopener">Anton Maletich</a> brought a real problem to the room: Alter Domus is scaling fast, hiring junior officers straight out of university, and by week four those employees can't explain what the company does — let alone speak credibly with clients. Not a motivation gap. A mental model gap. The business needed a repeatable way to close it.

So the room built one. Live.

The live discussion brought together a sharp mix of senior talent and L&amp;D leaders — from Alter Domus, Precisely, and Learning Sharks anchoring the conversation, to practitioners from Lurie Children's, PepsiCo, Discover, Zurich North America, Aon, CNA Insurance, insightsoftware, SunSource, FranklinCovey, Reynolds Consumer Products, and Waukesha County Technical College in the mix. The kind of room where the chat is as good as the main conversation — and it was.

<hr />

The brief matters more than the tool.

Marty walked through The CRIT Model live — Context, Role, Interview, Task — and built a 30-day onboarding framework for Alter Domus in real time, no proprietary data shared. The output was specific because the input was specific. The move most people admitted skipping: asking the AI to ask you clarifying questions before it responds.
<blockquote>"Full disclosure: The CRIT Model was new to me in that room too. Marty pulled it from Geoff Woods' <a href="https://www.ele.llc/members/bookshelf/the-ai-driven-leader" target="_blank" rel="noopener">The AI-Driven Leader</a> — and watching him run it live was one of those lightbulb moments where you think, why haven't I been doing this the whole time? Context, Role, Interview, Task. Four steps. Completely changes what comes back." — <a href="https://www.ele.llc/members/dirk-tussing" target="_blank" rel="noopener">Dirk Tussing</a>.</blockquote>
[caption id="" align="aligncenter" width="822"]<img title="The CRIT Model infographic" src="https://wp.ele.llc/wp-content/uploads/2026/03/Gemini_Generated_Image_CRIT-model.jpg" alt="Infographic of the CRIT model for AI leading, breaking down Context, Role, Interview, and Task with icons and descriptions for each step." width="822" height="448" /> The CRIT Model for AI-driven leadership, from Geoff Woods. (Credit: Google Gemini Banana)[/caption]

When the AI pressed Anton on where his junior officers actually break down, he got precise: it's not the legal structure — it's how accounting flows through it. That answer changed everything the AI produced. The diagnosis landed correctly. The room noticed.

<hr />

You own the output.

Speed is real. So is the risk of using it uncritically. Christopher drew a hard line: if you can't answer detailed follow-up questions about what the AI produced, you haven't done the work.
<blockquote>"If you just use the results without analysis or reflection, you're not using it correctly." — <a href="https://www.ele.llc/members/david-scherer" target="_blank" rel="noopener">David Scherer</a></blockquote>
And AI won't tell you when you're wrong — it's built to keep you engaged, not challenge you. You have to ask for the pushback explicitly.

<hr />

Design the workflow, don't improvise it.

The practical split that landed: use outside-firewall tools for structure and frameworks, then move inside your approved environment to add sensitive detail.
<blockquote>"I'm looking for this tool outside your firewall to give structure. I can take that and put it inside the firewall and flesh out the detail." — <a href="https://www.ele.llc/members/marty-murrillo" target="_blank" rel="noopener">Marty Murrillo</a>, Precisely</blockquote>
Christopher added: build custom GPTs, Gems, or Claude Projects for work your team repeats — stakeholder interviews, onboarding design, needs assessments. Pre-load the context once. Anyone picks it up without starting cold.

<hr />

What to try next

Use The CRIT Model on one real work product this week. Add the Interview step — ask it to ask you up to three clarifying questions before responding. Early evidence: fewer revision cycles, more specific output.

Split your AI workflow deliberately. Map which parts happen outside the firewall (structure, options, frameworks) and which stay inside (proprietary detail). Make it a decision, not an accident. Early evidence: you can explain your process to InfoSec without hesitating.

Ask it to push back before you finalize. Prompt it directly: "What's wrong with this? What am I missing?" It won't do this unprompted. Early evidence: you'll catch at least one assumption you'd been treating as settled.

<hr />

If any of these insights reflect the business challenges you're navigating right now — bring them into the room. ELE builds its event experiences around the real problems members are wrestling with. <a href="https://www.ele.llc/faqs/share-top-of-mind-talent-challenges">Submit My Business Challenge Now</a>

✨ AI Practical Lab: Context Is the Job

Digital &amp; AI

christopher.lind

dirk.tussing

anton.maletich

colin.hahn

keri.kersten

adrienne.guerrero

nancy.dome

marty.murrillo

Performance Improvement

ana.bedard

shonda.cromwell-rashad

peter.hogaboam

audra.pinter

david.scherer

human AI collaboration

AI Adoption

capability building

prompt engineering

L&amp;D strategy

1Q2026

AI governance

AI Workflow Design

Context Setting

CRIT Model

Onboarding Effectiveness

Product Knowledge Training

Junior Talent Development

Clarity in AI Use

Confidence in AI

Senior Talent Leaders

Lead Belay

HumanSide

This real-time exchange surfaced a truth many talent leaders are quietly wrestling with: AI isn’t just changing how work gets done—it’s revealing whether our teams have the confidence, clarity, and shared judgment to learn together in the flow of work.
The conversation didn’t drift toward tools or training catalogs. Instead, it stayed grounded in what leaders are seeing inside their organizations right now: uncertainty, acceleration, and unspoken fear. As Michael named directly:

<blockquote data-start="772" data-end="868">
“Great leaders don’t hide fear. They help people face it together.” — <a href="https://www.ele.llc/members/mike-kester" target="_blank" rel="noopener">Michael Kester</a>, Lead Belay.
</blockquote>
That idea reframed the role of talent leaders in this moment. Before teams can build new capabilities, leaders have to design spaces where fear is discussable—where learning isn’t confused with performance, and curiosity isn’t penalized.
<img class="aligncenter wp-image-44497" src="https://wp.ele.llc/wp-content/uploads/2025/11/WISE2024-Kester-and-Lead-Belay.jpg" alt="Mike Kester facilitating a small-group breakout discussion with senior talent and business leaders." width="759" height="441" />
From there, three insights stood out for leaders designing team-based learning experiences:
First, AI doesn’t fix weak systems—it exposes them. As Deepa put it:

<blockquote data-start="1289" data-end="1362">
“AI amplifies everything—structure and chaos.” — <a href="https://www.ele.llc/members/deepa-kartha" target="_blank" rel="noopener">Deepa Kartha</a>.
</blockquote>
Teams aren’t struggling because they lack tools. They’re struggling where roles, decision rights, and ways of thinking were already unclear. AI simply makes that visible—fast.
Second, the capabilities that matter most aren’t new. In a moment that brought relief to many in the discussion, Nicole DeFalco reframed the skills conversation:

<blockquote data-start="1714" data-end="1811">
“The new skills aren’t new. They’re the ones we stopped practicing.” — <a href="https://www.ele.llc/members/nicole-defalco" target="_blank" rel="noopener">Nicole DeFalco</a>.
</blockquote>
Critical thinking, sensemaking, and judgment are no longer “soft skills.” They are the infrastructure that allows AI to be useful rather than risky.
Third, clarity—not access—is the real gap. Nearly everyone has access to AI. Far fewer teams have shared norms for when to trust it, how to validate outputs, and when human judgment must lead.
<img class="aligncenter wp-image-44471" src="https://wp.ele.llc/wp-content/uploads/2025/12/AI-Transformation-Upskilling-in-AI-Maturity-e1766111773634.png" alt="Upskilling in AI Maturity" width="609" height="585" />
The takeaway for talent leaders is clear: this isn’t about delivering more training or scaling content faster. It’s about designing experiences where teams practice thinking together—inside the work that actually matters.
Because in the age of AI, learning doesn’t live in programs. It lives in the moments when leaders slow the work down just enough for teams to learn forward—together.

Co-Creating Human-Centered Transformation in the Age of AI

Future of Work

Leadership

mike.kester

edward.desrosiers

liza.fernandez

guillermo.gutierrez

tamora.martin

organizational capability

L&amp;D

matt.sernaker

AI in HR

rachel.kaberon

Workforce Transformation

erin.joslin

nicole.defalco

Future Ready Leadership

cindy.pinkstaffmiller

deepa.kartha

manendra.bhugra

mike.hoyt

AI and learning

dustin.brewer

AI reskilling

AI Era Leadership

AI and Work

leadership judgment

learning in the flow of work

talent experience design

confidence capability clarity

AI-enabled leadership

team capability building

human-centered ai

critical thinking at work

AI and culture

team-based learning

Rothy's

This live discussion provided a necessary strategic pause—reframing 2025, a year when AI acceleration outpaced governance and skills into a clear, action-oriented agenda for 2026, shaped by some of the brightest minds in talent leadership.
The session, which focused on turning 2025's lessons into 2026's impact, moved beyond a simple recap to identify the structural gaps holding organizations back: unclear roles, inconsistent manager readiness, and a lack of skills and governance to match the speed of AI experimentation.

<h6 data-path-to-node="2">The Core Narrative: Addressing Structural Crisis and Strategic Mandate</h6>
The key insight is that AI has exposed profound flaws in organizational design, making the chief priority for 2026 a fundamental overhaul of how we define and manage work itself.

<blockquote data-path-to-node="3,0,1">
"Work is evolving faster than roles, causing heartburn around antiquated job structures." -- <a href="https://www.ele.llc/members/megan-bickle" target="_blank" rel="noopener">Megan Bickle</a>, Rothy's
</blockquote>
This structural crisis demands that the talent function lead the charge in strategic redesign—not as a support function, but as the architect of how work, skills, and AI come together.

<h6 data-path-to-node="6">Key Takeaways for Senior Talent &amp; Learning Leaders:</h6>
<ul data-path-to-node="7">
 	<li>
The Structural Work/Role Disconnect is the New Crisis: Work is evolving faster than job architecture, creating real tension around compensation, accountability, and career paths.
</li>
 	<li>
Operational AI Exposes Manager Readiness as the #1 Governance Gap: As AI moves into daily work, inconsistent manager capability—not technology—has become the primary bottleneck.
</li>
 	<li>
L&amp;D's Identity Must Pivot to 'Designer of the Blended Workflow: The talent function must intentionally design how human judgment and AI systems integrate—moving people up the value chain by design, not accident.
</li>
 	<li>
The Future of Work is a Mental Health Design Challenge: The focus is shifting from reactive wellness programs to proactively redesigning work in ways that protect psychological well-being.
</li>
</ul>

<hr data-path-to-node="8" />

<h6 data-path-to-node="9">The Strategic Mandate: Linking AI to Business Value</h6>
The ultimate goal for 2026 is harnessing AI to maximize competitive advantage. That requires moving past technological enthusiasm to disciplined, strategic deployment. As Chris Dunford emphasized, this is the constraint talent leaders must enforce:

<blockquote data-path-to-node="3,0,1">
"Don't just follow the tech for the tech's sake; it must be linked to a business need." -- <a href="https://www.ele.llc/members/chris-dunford" target="_blank" rel="noopener">Chris Dunford</a>, Aon
</blockquote>
This quote serves as the central mandate for any new AI-driven capability investment.
When that constraint is applied, the value proposition becomes clear. 
As <a style="font-size: 16px; background-color: #ffffff;" href="https://www.ele.llc/members/matt-donovan" target="_blank" rel="noopener">Matt </a><a href="https://www.ele.llc/members/matt-donovan" target="_blank" rel="noopener">Donovan </a>reinforced, this is the outcome talent leaders should design for:

<blockquote data-path-to-node="3,0,1">
"AI takes on tasks to enable humans to move up the value chain."
</blockquote>
This is not a philosophy—it’s the benchmark against which every AI-enabled role redesign, learning investment, and manager capability should be measured.


<hr data-path-to-node="15" />
Practical Actions for 2026 Strategic Planning (Where to Start)
To generate the necessary Talent Development Intelligence and address these strategic and human gaps, talent and learning leaders can start with the following actions:

<ol start="1" data-path-to-node="18">
 	<li>
Launch a Cross-Functional "Deconstruction of Work" Sprint: Start by deconstructing 3–5 mission-critical roles. Map which tasks are best handled by AI versus high-value human judgment to inform Q1 job architecture and skill redesign.
</li>
 	<li>
Measure Manager Readiness for AI Governance (Not Just Usage):  Assess managers on their ability to govern, embed, and coach responsible AI use—not just whether tools are adopted.
</li>
 	<li>
Reallocate L&amp;D Resources to the "Three C's": Use AI to clarify role expectations, co-curate third-party content, and customize individual learning journeys—embedding learning directly into the workflow.
</li>
</ol>
These actions shift talent teams from reacting to AI disruption to intentionally redesigning how work actually gets done.
ELE Outlook for 2026: Why Incremental Change Isn’t Enough for How Work Gets Done
As ELE heads into 2026, one signal is already clear: incremental improvements won’t keep pace with the human, structural, and leadership challenges created by AI at scale.  The mandate for talent and learning leaders is to shape how work evolves—clarifying job architecture, building practical manager capability for AI governance, and ensuring every technology investment is explicitly tied to business value. By focusing on these priorities, talent and learning leaders can turn the disruption of 2025 into a scalable impact in the year ahead.

2025 in Review, 2026 in Focus: Defining Talent Priorities for the AI Workforce

future of work

Strategy

tracey.wik

upskilling

azizeh.constantinescu

talent development

talent management

learning &amp; development

matt.donovan

Talent Strategy

marsha.love-morrow

employee experience

reskilling

workforce planning

megan.bickle

HR transformation

HR leadership

Business Alignment

sara.fitzgerald

AI &amp; Workforce

angelica.janina.stilling

4Q2025

organizational design

terresa.bubbers

ali.glaser

sam.amelio

2026 planning

chris.dunford

manager readiness

job architecture

executive learning

2026 priorities

This AI practical lab provided a crucial blueprint for Talent and L&amp;D leaders looking to move past simple AI experimentation and toward disciplined, enterprise-grade workflows. The core theme was this: Generative AI is not a strategy replacement, but a force multiplier that radically redefines team capacity. The lab demonstrated a focused, three-step AI workflow model presented by<a href="https://www.ele.llc/members/julia-meyer"> Julia Meyer</a> and <a href="https://www.ele.llc/members/rebecca-benson">Becca Benson</a> at our October 2025 conference—Clarify, Create, Customize—which ensures human expertise remains in the critical stages of problem definition and cultural refinement. The implication is profound: AI promises to unlock unprecedented productivity, allowing HR to finally operate at the speed of the business, provided leaders enforce a "human-in-the-loop" quality standard.

<img class="aligncenter size-full wp-image-44448" src="https://wp.ele.llc/wp-content/uploads/2025/03/Three-Step-Model-for-AI-Workflows-ELE.jpg" alt="Three-Steap Model for AI Workflows (ELE)" width="690" height="356" />

👂ELE’s POV: Ed gets into the core tension: Is the accelerated adoption of GenAI in L&amp;D a necessary breakthrough for speed—or a reckless path that risks bypassing trust?

<audio controls="controls" data-mce-fragment="1"></audio>
<h3 data-path-to-node="2">Key Takeaways for Senior HR Leaders</h3>
<ul data-path-to-node="3">
 	<li>
The 10x Capacity Shift is Real: The most striking finding was the demonstrable power of an AI-augmented team. As <a href="https://www.ele.llc/members/edward-desrosiers" target="_blank" rel="noopener">Ed DesRosiers</a> revealed during the lab’s case study:

<blockquote data-path-to-node="3,0,1">
"With AI, our team of two created 10 times the deliverables of an 8-person team working the traditional way." This forces a re-evaluation of current capacity plans and resource allocation.
</blockquote>
</li>
 	<li>
AI Demands Higher-Level Thinking: AI elevates your team from producers to strategic partners. As <a href="https://www.ele.llc/members/marty-murrillo" target="_blank" rel="noopener">Marty Murrillo</a> stated:

<blockquote data-path-to-node="3,1,1">
"AI amplifies you, it doesn't replace you. You are the thought leader; AI is simply your thought partner." The focus shifts entirely to defining strategy and ensuring quality.
</blockquote>
</li>
 	<li>
Strategy Must Precede Speed: The "Clarify" step of the 3C model is non-negotiable. You must define the audience, challenge, and success metrics before generating content to avoid creating high-volume noise.
</li>
</ul>
<h3 data-path-to-node="4">Practical Actions to Take Immediately</h3>
<ul data-path-to-node="5">
 	<li>
Mandate the "Customize" Quality Gate: Stop content from going to the client or employee without a human refining the tone, ensuring cultural fit, and applying nuance.
</li>
 	<li>
Challenge "Solutioneering": Before a team asks an AI tool to "Create" a solution, demand proof that they completed the strategic diagnosis. If they can’t articulate the business need, halt production.

<blockquote data-path-to-node="5,1,1">
"AI gives us amazing options, but I need to see the big picture. How is this actually moving the needle for the business?" -- <a href="https://www.ele.llc/members/keri-kersten" target="_blank" rel="noopener">Keri Kersten</a>
</blockquote>
</li>
 	<li>
Invest in an AI Stack, Not Just a Single Tool: Audit your tool ecosystem (e.g., NotebookLM for research, Copilot for drafting, Canva for design) to ensure it supports the entire Clarify-Create-Customize workflow seamlessly.
</li>
</ul>
The era of the AI-powered workflow demands a new kind of leadership—one that is disciplined, strategic, and focused on impact. By implementing the "Clarify, Create, Customize" structure, you can harness the staggering productivity gains of generative AI while ensuring your Talent and L&amp;D functions remain grounded in human-centered design and strategic business alignment. This isn't about working harder; it’s about leading smarter.
The urgency of this evolution is echoed by other experts; as <a href="https://www.ele.llc/members/michael-vaughan" target="_blank" rel="noopener">Mike Vaughan</a> recently argued on LinkedIn, <a href="https://www.linkedin.com/posts/michaelsvaughan_ai-wont-help-ld-unless-we-let-go-of-what-share-7404581161945214976-b3-P?utm_source=share&amp;utm_medium=member_android&amp;rcm=ACoAAAAyK2cBgiwsMpK9fDqZM0mahKsHVCHm_Y8" target="_blank" rel="noopener">AI Won't Help L&amp;D Unless We Let Go of What Got Us Here.</a>
Let's continue this conversation on the ELE <a href="https://www.ele.llc/idea-exchange" target="_blank" rel="noopener">Idea Exchange</a> and share the non-negotiable quality controls you're putting in place for AI-generated content!

✨ AI Practical Lab: AI-Powered Workflows

leadership

digital transformation

performance improvement

Adding Value

wendi.barlow

organizational development

learning trends

ChatGPT

AI tools

HR future

GenAI

Workforce Strategy

generative AI

talent-talk

agile HR

Human Resources

ai practical lab

HR Tech

susan.c.guest

owen.burns

CHRO

roberto.seif

AI in L&amp;D

AI workflows

capacity building

human in the loop

Zurich North America

Ziel Leadership

Goodwill NYNJ

As organizations expand beyond traditional recruiting, apprenticeships and alternative talent pipelines are redefining how we attract, develop, and retain the next generation of workers.

In this 45-minute interactive discussion, we’ll explore how a culture of belonging can turn these programs into true engines of growth—where diverse talent feels seen, supported, and set up to succeed. Participants will co-create strategies for inclusive onboarding, mentorship, and career progression that help new talent thrive from day one.

Walk away with practical ideas for embedding belonging into every stage of the talent journey—so your apprenticeship and early-career programs don’t just fill roles but fuel the future.

Apprenticeships: Building Belonging into the NextGen Talent Pipeline | Inclusion as the Foundation for Future Growth

Integrated Talent Management

kyle.swanson

inclusion

talent pipeline

belonging

CHIE2025

organizational culture

mentorship

DEIB

ashanti.morgan

Talent Retention

apprenticeship programs

dan.kwong

zachary.glaser

francheska.feliciano

susan.meehan

integrated talent

DEIB strategy

early career programs

nextgen talent

diverse talent

career progression

Skillsoft

EmpathAI Learning Solutions

The modern corporate reality is simple: your employees are drowning in a sea of training options, yet starving for clarity and direction. The sheer volume of content, much of it irrelevant, actively slows down enterprise agility and wastes talent investment.

In this highly interactive session, leaders from Skillsoft and Empath.AI Learning Solutions tackled the chaos head-on, sharing a practical framework for designing smarter, simplified learning ecosystems that accelerate workforce readiness. The core challenge is clarifying what's "must-have" vs. "build-your-skillset" to create clear career momentum.
<h3>Key Takeaways for Talent Leaders:</h3>
<ul>
 	<li>The Clarity Framework: Attendees rolled up their sleeves to co-create practical career and skill maps for key enterprise roles. The key learning was how to ruthlessly filter content to define the essential path (mandatory knowledge) and separate it from the growth path (optional, personalized skill-building).</li>
 	<li>AI as the Simplicity Engine: The session explored how adaptive learning and AI-driven personalization are the primary tools for simplification. Instead of managing a large course catalog, L&amp;D can leverage AI to instantly curate content that is relevant at the moment of need, ensuring employees get guidance, not just more options.</li>
 	<li>The Plug-and-Play Template: Participants walked away with a tangible, plug-and-play template to immediately streamline development paths in their organizations. This template is the blueprint for moving away from generic content assignments toward a skills-based ecosystem designed to scale and evolve with emerging business needs.</li>
</ul>
This session proved that effective, modern L&amp;D is defined not by how much content you have, but by how skillfully you simplify the path for your people, directly fueling enterprise agility.

Simplifying Training | Designing Smarter Learning Ecosystems for Enterprise Agility

workforce readiness

future of learning

adaptive learning

yolanda.mangram

Strategic HR

skills-based learning

HR Technology

Learning Ecosystems

heber.sambucetti

enterprise agility

AI personalization

skill maps

plug and play template

career momentum

talent investment

clarity framework

content curation

operational simplicity

Every senior leader knows the truth: your culture and performance rise and fall on your managers. They are the critical link between strategy and execution—and often the silent bottleneck preventing a truly high-performing culture from taking root.

This focused discussion moved beyond the limitations of generic leadership training to deliver a crucial blueprint for senior HR and Talent leaders: how to build a powerful, consistent "manager core" that actively drives cultural and performance outcomes, rather than just sustaining the status quo.
<h3>Key Strategic Takeaways for Manager Enablement:</h3>
<ul>
 	<li>Align Capability to Enterprise Strategy: The essential first step is to end the separation between training and business goals. Leaders learned how to intentionally align manager capability building with enterprise strategy to ensure cultural goals and performance standards are embedded in daily execution, not merely theoretical concepts.</li>
 	<li>Build the Consistent Development Roadmap: To achieve consistency at scale, organizations must move away from ad-hoc interventions. The session provided a framework for building a consistent development roadmap that clarifies expectations and equips managers with enabling skills across all organizational levels.</li>
 	<li>Redefining Accountability for Outcomes: Attendees explored how to redefine manager accountability, shifting the focus from completing training modules to taking ownership of tangible culture and performance outcomes, driving measurable business impact.</li>
 	<li>The New "Must-Have" Capabilities: The session identified the critical leadership capabilities for the future of work, emphasizing the move beyond compliance and traditional coaching toward adaptive leadership—enabling managers to lead with clarity and consistency amid volatility.</li>
</ul>
This session armed HR and Talent leaders with the actionable insights necessary to transform rigid management structures into adaptive, empowered networks that finally deliver measurable returns on manager enablement strategy.

Building Capability to Support a High Performing Culture | Moving Beyond Generic Leadership Training to Build a Manager Core

leadership development

melissa.versino

strategic alignment

accountability

business impact

spencer.macdonald

adaptive leadership

manager capability

high performing culture

manager core

performance outcomes

talent enablement

Froedtert ThedaCare Health

Goal: In this 45-minute breakout, participants will experience a taste of the ELE Work/Life Blueprint and reflect on how design thinking can make reskilling personal, scalable, and business-aligned.

Every HR leader knows reskilling at scale is an enterprise priority—but traditional, one-size-fits-all approaches rarely deliver impact. The Work/Life Exchange Blueprint introduces a five-step, design-thinking framework that makes reskilling personal, practical, and scalable:

1️⃣ Discover — map where energy, skills, and growth opportunities intersect.

2️⃣ Design — generate multiple “what’s next” scenarios, short- and long-term.

3️⃣ Prototype — test small, low-risk skill applications that generate real data.

4️⃣ Exchange — share insights, borrow ideas, and refine through peer feedback.

5️⃣ Blueprint — tell your story, build your support team, and co-create a living plan (not a static PDP).

Grounded in design-thinking principles from Designing Your Work Life by Bill Burnett and Dave Evans, this ELE-built model simplifies reskilling at scale by moving from HR-led programs to frontline-owned growth — turning learning into impact.

📚 Related Reading: <a href="https://www.ele.llc/members/bookshelf/designing-your-work-life" target="_blank" rel="noopener noreferrer">Designing Your Work Life on ELE’s Bookshelf</a>

🔁 <a href="https://docs.google.com/presentation/d/1qFs__kIJsCLH6ynAeNopOsz6PHEpub9ntpAmvuJt588/edit?mc_cid=e7686c688f&amp;mc_eid=621cbc8540&amp;slide=id.p1#slide=id.p1" target="_blank" rel="noopener noreferrer">ELE Executive Innovation Sprints Proposal</a>

What’s Next: Following this initial ideation, on <a href="https://www.ele.llc/events/reskilling-128" target="_blank" rel="noopener noreferrer">November 14th we’ll host a virtual exchange to refine business requirements</a> before recruiting 4–6 members for our first Solution Sprint.

🔄 ELE Executive Innovation Sprint: Simplifying Reskilling/Upskilling to Scale | Turning Upskilling into Impact

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