Building a Connected Talent Ecosystem: Learning Strategy at TEKsystems

Human-Centered, AI-Enabled: The New Playbook for Learning ROI

As organizations face growing pressure to move beyond participation metrics and demonstrate clear ROI — with measurable impact on talent, productivity, and business outcomes — learning leaders are being asked to rethink the role of learning.

In this session, Chris Harry, Chief Talent and Learning Officer at Allegis Group and TEKsystems, shares how his team evolved learning from a traditional enablement function into a connected, performance-driven ecosystem. Drawing on Allegis Group and TEKsystems’ journey aligning learning, talent data, and role clarity, Chris walks through the practical decisions that helped connect learning investments directly to workforce outcomes.

From building role-based success profiles and creating shared language across the organization, to leveraging AI to scale without losing context or human judgment, Chris explores how learning leaders can design human-centered, data-informed strategies that power both people and performance — and create a clearer path from learning to measurable business impact in an AI-enabled workforce.

What You’ll Discover:

How to connect learning investments to real performance and business outcomes

Why role clarity and shared language became the foundation for scale

How to use talent data effectively without over-engineering skills taxonomies

Practical lessons for leaders building performance-driven learning ecosystems

Where AI can meaningfully accelerate learning — and where human connection remains essential