AI for Training Admins: Support Strategy, Not Just Tasks

As learning environments grow more complex, training admins are expected to manage larger content catalogs, multiple audiences and higher expectations for relevance — all with fewer resources and less margin for error. Artificial intelligence (AI) can help but only when it is designed to improve decisions, not just automate tasks.
In this Learning Tech Showcase, Seertech Solutions will demonstrate how its AI architecture is built to help training admins curate, prioritize and optimize learning experiences using clear signals from usage data and audience behavior. Rather than relying on opaque automation, Seertech’s approach keeps admins in control by making AI-driven recommendations transparent, actionable and easy to govern. Attendees will see how AI can reduce noise, sharpen relevance and support confident learning decisions across complex, multi-audience training environments.
You’ll learn how to:
- Identify the learning signals used to decide what content to promote, refine or retire.
- Apply AI recommendations while maintaining admin control and governance.
- See how true visibility informs relevance decisions across multiple audiences.
- Understand where AI adds operational value and where human judgment remains essential.
Speaker
![]() | Scott Mahoney, Chief Strategy Officer, Seertech Solutions Scott Mahoney has spent more than 25 years helping organizations move beyond treating learning as a checkbox and toward using it as a true business driver. As Seertech’s chief strategy officer, he works closely with L&D leaders around the world to build learning strategies that deliver measurable results and stand up to executive scrutiny. Over his career, Scott has advised a wide range of global organizations, including Microsoft, IBM, Abbvie, Cisco, Oracle, Molina, GE, Emerson, the U.S. Army, Texas Instruments, S&P Global and Ingersoll Rand. His advisory approach has been shaped by decades of experience working within complex, siloed learning environments to align strategy, technology and data at scale. |
