Artificial intelligence (AI) is here. The question isn’t whether it belongs in learning and development (L&D) — it’s how we use it wisely and well.

At Blanchard, we’ve been rolling up our sleeves and experimenting with generative AI for several years now. Not because we ever wanted to replace the creativity and expertise of our solutions architects and designers — that’s our secret sauce — but because we wanted to see if AI could help us do what we already do best: design world-class, human-centered learning experiences.

What we’ve discovered is a mix of speed and substance. AI gives us a boost in some areas, it falls flat in others and it reminds us every day why the human element of design matters most.

Behind the Scenes of our AI-Infused Design Process

Here’s a peek behind the curtain at how AI shows up in our work:

• Brainstorming and ideation: Need 20 metaphors for resilience? Or a quick list of activity ideas? What used to take an hour with sticky notes now takes minutes with a good prompt.
• Storyboarding support: AI can draft a storyboard so our designers have something to react to right away — no more blank page paralysis.
• Persona mapping and content generation: AI helps us sketch early drafts of learner personas or scenario outlines. We take it from there, adding the nuance and accuracy only people can bring.
• Communications strategy: We’ve started using AI to draft communication plans and learner messages that wrap around a learning journey. Think of those reminders, nudges and touchpoints that keep learners engaged before, during and after training.
• Running starts for client deliverables: One of our favorite uses for AI is showing clients what we call a “running start” — a sketch of what their learning experience might look like. It sparks reactions, ideas and conversations so much faster than a blank page.
• Experience activities and support tools: Draft facilitator notes, learner handouts, activity ideas — you name it. We still polish and personalize everything, but AI gives us a head start.
• Weaving the client’s “red threads”: AI helps us envision how key messages and themes, what we call the “red threads,” can run through an entire journey. That might include multiple topics, types of experiences, communications, visuals and more. Having a draft blueprint lets us align with clients quickly and make sure their signature threads are visible from start to finish.

And here’s the important part: this is always an iterative process. Every AI output becomes a review point with our clients. Does it look right? Does it sound right? Will it land well with our audience? What’s missing that we need to lace through? Those questions guide the work, because there are things AI simply can’t predict such as tone, timing and context. Those little human nuances that make the difference between fine and fantastic. That’s where humans come in. It’s a critical pathway to our unified success in client engagements.

“AI isn’t the designer — it’s the accelerant.” That’s our mantra. It helps us move quickly to the part of the process where creativity, empathy and instructional rigor shine.

What Works, What Doesn’t (Yet), and What Never Should

If you’ve been experimenting with AI, you’ll know this already: some tasks are a great fit and others, not so much.

• What works: Rapid prototyping, first drafts, summaries, communications and polishing language.
• What doesn’t (yet): Capturing nuance, emotional resonance, the “red threads” that help connect content to your business or the lived experience of your learners.
• What never should: Replacing the human voice, judgment and heart in design. AI doesn’t know what it feels like to lead a struggling team, navigate tough workplace dynamics or experience a breakthrough moment in training. That wisdom only comes from people.

So yes, AI makes us faster — but only when you know where it’s a fit.

From Prompts to Prototypes: Our Iterative Journey

When AI first entered the scene, we were skeptical too. Could it really help without diluting creativity?

We started small. Tested prompts. Evaluated outputs. Tossed a lot of it out. But over time, we learned how to make it work for us. Now, it’s normal for our teams to spin up a few AI-generated drafts of a concept and then workshop the best pieces together.

What used to take weeks of back-and-forth now takes days or hours. Instead of sweating over the blank page, we can spend more energy making the work truly sing. AI removed static from the system and created space for us.

Guardrails for Responsible Use

Of course, speed and efficiency don’t mean much without trust. That’s why we hold ourselves to a simple standard: AI should always assist, never replace, the human connection in learning.

That starts with our clients. When we’re in collaborative design sessions, we ask first: “Are you comfortable with us using AI as an augmentation of our design team on this project?” Some are excited to explore, others want to wait and a few say no — and that’s okay. We’re transparent from the start, and we give every client an easy off-ramp if they change their mind mid-stream.

Spoiler alert: Clients so quickly see the accelerated speed to delivery, it would be a rare case to have a change of course.

Our role is to show them what “good” looks like, let them see it in action and then respect their choice.

What It Means for the Corporate Learning Marketplace

Generative AI is a big shift in how L&D teams think and work. The potential is huge:

• Speed: Development cycles shrink from weeks to days.
• Scale: Personalization for roles, regions or learner needs becomes far more doable.
• Creativity: “What if?” becomes easier to explore because generating options is quick and cheap.

But remember, the tool is neutral. It’s the way we use it and the trust we build with clients that determine whether it delivers meaningful impact or just noise.

For organizations, the call to action is to equip your teams to use AI well and anchor that use in clear processes and client alignment. Done right, the payoff is smarter, faster design that still feels tailor-made for the learner.

Smarter, Faster, Still Human

Our AI journey is ongoing. We’ve learned a lot, stumbled a bit and kept going with curiosity. What’s clear is that the future of learning design is the magic of both humans and machines working together.

If you’re AI-curious, start experimenting. If you’re already experimenting, keep refining. And for all of us in this new frontier, let’s remember that the smartest, fastest design is the one that still feels connected and deeply human.