AI Learning Content in Practice: How L&D Teams Can Gauge AI Readiness
This fireside-chat style session breaks down what “AI readiness” actually looks like inside modern teams— and how to move from scattered experiments to repeatable workflows that ship real output.
If you’re leading learning and development and you’re being asked to “do more with less,” this conversation will help you assess your team’s AI maturity, spot the gaps that slow adoption, and build a practical path to scaling training content without sacrificing quality.
In the discussion, Smartcat leaders share the on-the-ground reality of AI adoption: tight budgets, rising expectations, and the pressure to deliver content faster across more formats and audiences. You’ll hear why teams get stuck (and what to fix first), what “digital teammate” expectations should look like, and how to think about human-in-the-loop workflows so quality improves over time—not just on day one.
What you’ll learn:
▶ How to assess your team’s AI maturity and prioritize what to tackle first (skills, process, governance, or ROI)
▶ Why AI Agents need onboarding just like new hires—and what “training” means in practice (voice, rules, review, and feedback loops)
▶ How to reduce handoffs and rework by designing workflows that keep learning content consistent, scalable, and launch-ready
Ready to see how AI Agents can help your team create, adapt, and localize learning content at scale? Visit https://www.smartcat.com/ai-agents/le... to learn more.
Timestamps:
00:00 — Welcome + what you’ll get from this fireside chat
02:12 — The “do more with less” reality behind AI adoption
05:58 — Quick poll: what’s blocking progress (skills, ROI, resources)
09:22 — High-stakes moments where teams bottleneck (and why)
15:21 — What AI Agents should do vs. what generic AI can’t
21:54 — Making quality real: onboarding, workflows, and feedback loops
22:06 — Examples of agents and how they fit into real workflows
28:36 — Customer stories and outcomes from agent-driven workflows
36:24 — Practical walkthrough: what a workflow looks like in action
38:03 — Q&A: org changes, roles, and scaling content responsibly
43:15 — Wrap-up + next steps