What does a year of building with AI actually look like inside a learning team? Two leaders at global technology companies walk through it, starting with the question every executive is asking: Where is the return? Many organizations have bought enterprise AI tools for employees and still cannot answer that. The teams that can speak to ROI seem to have one thing in common: their standards and source material were in order before they started.

Both leaders in this panel will examine the savings organizations expect from AI investments, showing which survive scrutiny, which remain unproven and why cost has moved both upstream (into preparation) and downstream (into validation).

Joining moderator Roberta Gogos, an independent analyst covering learning and talent with Lighthouse Research, are Nikita Singh, senior leader of learning and certifications at Cisco, and Mazie Baskin, vice president of Anaplan Academy. Both leaders run certification and product training at enterprise scale, where content is technical, accuracy is audited and a library serves thousands of learners. They are a year further into this than most teams, and they’ll share what they’ve already built and put into practice.

In this webinar, sponsored by Sify Digital Learning, you’ll learn how to:

• Assess whether your own standards and source material are in a state an AI agent can work from and learn which gap to close first.
• Build a time-savings case that survives a finance review, including why a gain at one stage of the build does not carry across a whole program.
• Price the cost of reversal before you evaluate tools, so the decisions that lock in your content architecture get a different level of scrutiny.
• Size the review and approval capacity an AI-assisted team needs and redefine what your instructional designers (IDs) own.