Origami Works Foundation

ELE Group, LLC

This interactive discussion explores nonprofit use cases—often working with limited resources—are using AI in smart, practical ways to transform learning and development. The conversation made it clear: AI is not replacing talent leaders, but amplifying their ability to deliver personalized learning, empower staff, and build future-ready cultures.
As one panelist shared:

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“By embracing AI, a team member unlocked new skills, greater confidence, and a well-earned raise.” — <a href="https://www.ele.llc/members/dani-petrie1" target="_blank" rel="noopener">Dani Houchin</a>, Origami Works Foundation
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And at scale, the potential is just as powerful:

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“AI helps us customize training to each role, making learning more relevant and engaging.” — Natalie Kindred
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Together, these stories highlight AI’s dual impact—driving both personal growth and organizational transformation.


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<h2 data-start="1033" data-end="1056">🔑 5 Key Takeaways</h2>
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AI is a Co-Creator, Not a Replacement: Leaders are using AI to draft outlines, scenarios, and training objectives, while refining for culture and context.
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Personalization at Scale: AI makes role-based and learner-specific customization possible, even in large and diverse workforces.
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AI as a Retention Tool: Employees who adopt AI gain confidence, deliver higher-value work, and are more likely to stay and grow with the organization.
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Faster Prototyping &amp; Content Creation: From brainstorming to role-play scenarios, AI accelerates design cycles and increases relevance.
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Transparency Builds Trust: Sharing how AI was used to create drafts makes it easier for teams to give constructive feedback and adopt AI practices.
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<h2 data-start="1827" data-end="1873">🛠 5 Practical Actions for Talent Leaders</h2>
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Pilot AI Experiments: Start with safe, small-scale use cases like goal setting or workshop outlines.
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Leverage Personas: Use AI to design role-specific or personality-driven learning experiences that feel tailored.
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Set Guardrails Early: Train teams on safe AI use to prevent risks like uploading sensitive documents.
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Coach AI Fluency: Encourage employees to see AI as a growth tool that expands their skills, not a shortcut.
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Refine Prompts Intentionally: Ask AI, “What’s generic?” or “What’s missing?” to sharpen quality outputs.
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For nonprofit organizations—and any talent development leader—AI offers a rare combination: accessibility, low cost, and high impact. The session underscored that when AI is used as a partner in learning, it empowers employees to grow, helps leaders personalize development at scale, and accelerates content creation without sacrificing quality.
💬 Continue this conversation in the <a href="https://www.ele.llc/idea-exchange" target="_blank" rel="noopener">ELE Idea Exchange</a>—share how you’re experimenting with AI in L&amp;D and learn from your peers.

Nonprofit Success Stories Using AI for L&D

future of work

Engagement &amp; Culture

Future of Work

Digital &amp; AI

dirk.tussing

jane.shlaes

learning culture

jacki.davidoff

deborah.lenchard

leadership development

talent development

dani.petrie1

employee engagement

workforce development

continuous learning

digital learning

adaptive learning

personalized learning

employee retention

skill-building

future-ready workforce

AI Use cases

people analytics

AI in Learning

AI in HR

diana.anderson

HR Technology

emily.decker-bess

organizational learning

nicole.defalco

3Q2025

workforce engagement

L&amp;D strategy

holly.r.pyatt

nonprofit leadership

career coaching

AI for nonprofits

nonprofit L&amp;D

talent development innovation

learning personalization

Session Focus: Utilizing Data to Transform Talent Development and Improve Employee Engagement

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In today’s shifting workplace, it’s not enough to track learning activity—we need to turn insights into outcomes. In Learning and Development, data is no longer just a resource—it’s a roadmap for enhancing the employee experience and aligning talent strategy with business priorities. At our recent ELE peer discussion, we explored how leading organizations are embracing a data-driven strategy to personalize development, elevate the employee experience, and align learning with what the business truly needs.

<blockquote>"Our data-driven adaptive learning strategy helped us pinpoint what learners didn’t know—and deliver only what they needed." -- <a href="https://www.ele.llc/members/yolanda-mangram" target="_blank" rel="noopener">Yolanda Mangram</a></blockquote>
Whether you're using adaptive tech or building insights through 1:1 conversations, the message is clear: we’re no longer just tracking progress—we’re transforming how we develop and engage our people. Now is the time to interconnect data-driven strategies with talent development to drive business impact where it matters most.
These insights emerged as top priorities for HR and talent leaders looking to create impact through smarter data use:

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Data is a strategic tool. Learning data should guide decisions—not just reflect them.
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Personalized learning drives engagement. Targeted development increases relevance, confidence, and speed to proficiency.
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Qualitative insights count. Listening systems like focus groups and 1:1s can surface what surveys miss—and drive culture.

<blockquote>"The dashboard made it easy to see where learners were struggling with unconscious incompetence—and where to focus coaching or redesign." -- <a href="https://www.ele.llc/members/yolanda-mangram" target="_blank" rel="noopener">Yolanda Mangram</a></blockquote>
<img class="aligncenter" src="https://wp.ele.llc/wp-content/uploads/2025/05/ADAPTing-to-a-new-way-of-learning.jpg" alt="" width="769" height="432" /></li>
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🛠️ Three Actions to Bring This to Life

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Use data to shape learning priorities. Connect learning to KPIs like mobility, retention, and performance.
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Build listening into your strategy. Code feedback from real conversations to spot trends and blind spots early.
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Connect learning efforts to business outcomes.
Make talent development part of strategic planning—not an isolated function.

<blockquote>"Listening became the data strategy." -- <a href="https://www.ele.llc/members/ben-warner" target="_blank" rel="noopener">Ben Warner</a></blockquote>
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The takeaway? A data-driven strategy only delivers value when it's connected to business goals. Now is the time to interconnect talent development with business impact—and position HR as a true driver of enterprise success.
How are you using data to elevate your talent strategy? -- Share your thoughts in the ELE <a href="https://www.ele.llc/idea-exchange" target="_blank" rel="noopener">Idea Exchange</a> and continue the conversation with fellow leaders.

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Data-Driven Talent Development: Leading Indicator for Elevating Employee Experience

Nonprofit Success Stories Using AI for L&D

Data-Driven Talent Development: Leading Indicator for Elevating Employee Experience

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