Every great story starts with a little confusion. Characters are introduced, plotlines twist in unexpected ways, and you’re left wondering, what exactly is happening here?
That’s where most of us begin with AI.
The terms, tools, and possibilities feel infinite. The pace of change feels impossible. But just like any good book, if you keep turning the pages patterns begin to emerge. Before long, you’re not just reading the story. You’re part of it.
Here, I break down how any AI journey, especially one that integrates AI agents into your human workflows, will likely unfold.
Book 1: Chaos – explore and experiment
You open the book and find it overwhelming. Too many characters, too many threads. Still, you keep turning the pages because even in the confusion, you sense something important.
AI focus: This is the exploration stage. You’re experimenting with prompts, tools, and early use cases. It’s messy – and that’s the point! Chaos exposes gaps, sparks curiosity, and begins the compounding process of understanding.
You’re not supposed to have it figured out. You’re supposed to start.
Mindset: Dive in, play with possibilities, and capture what surprises you.
Book 2: Catalog – inventory and track
The fog begins to lift. You’re cataloging the characters and learning the focus of the story. You don’t have it all together yet, but it’s starting to make sense — and you want to keep reading.
AI focus: This is where you start to organize. Catalog your AI tools, data sources, and early experiments. What worked? What didn’t? What gaps are showing up?
Think of it as building your AI “library,” lessons, patterns, and ideas you’ll return to later.
Mindset: Don’t rush. The more you track, learn, and create feedback loops, the faster your future clarity compounds.
Book 3: Connect – link and layer
Now it’s intriguing. The characters and plotlines begin to intersect. You’re seeing patterns. You’re starting to predict what’s next, and you’re hooked.
AI focus: Here, you begin connecting insights, experiments, and outcomes. You notice how one AI use case informs another, how systems integrate, and how human skills complement the tech, especially AI agents.
It’s no longer about isolated pilots. It’s about ecosystems.
Mindset: Integration beats imitation. Link what you learn across teams, processes, and goals.
Book 4: Context – understand and apply
This is where the deeper meaning lands. You’re weaving together threads, recognizing how the earlier plot and character development was setting up these story lines. You can explain the narrative to others, although your friends still in Book One just blink at you and those in Book Five and Six say, “Buckle up…”
AI focus: Context turns knowledge into wisdom. You begin to apply AI through the lens of your business strategy, workforce goals, and human values. This is where responsible AI becomes essential, and fairness, transparency, and trust form the spine of the story.
Mindset: Focus on clarity in the moment, not certainty about the future. The story is still unfolding, and that’s what makes it worth reading.
Book 5 (and beyond): Curate – optimize and scale
You’re immersed. You can predict the twists, spot the callbacks, and help others follow along. You’ve joined a community of readers who “get it,” while new arrivals are still flipping through the earlier chapters, maps, and genealogies trying to catch up.
AI focus: This is where you curate. You are building repeatable frameworks, scaling what works, and sharing best practices. You move from experimentation to fluency. AI becomes part of your culture – not a project, but a mindset.
Mindset: Keep refining the story. Every new chapter builds on what came before.
What happens if you skip ahead?
Try jumping straight into book three or four, and you’ll be lost. You’ll meet characters you don’t understand, make assumptions that don’t fit, and lose trust in the narrative altogether.
In AI terms, skipping the early stages, especially Chaos and Catalog, often leads to confusion, mistrust, and even organizational paralysis.
- Teams roll out AI tools without governance or guardrails.
- Employees lose confidence when outputs seem arbitrary or biased.
- Leaders question the ROI before the foundation is even built.
Just like a story, the context matters. You can’t appreciate the plot twists without the setup.
The never-ending story
Here’s the truth – there is no final chapter. AI isn’t a book you finish, it’s a series that keeps evolving with new characters, genres, and plotlines.
Our job isn’t to chase the ending. We need to read with curiosity, learn from each page, and find clarity in the story.
When you move from chaos to catalog, from catalog to connection, and from connection to context, you start curating not just your AI strategy, but your future of work story.
And that story? It’s still being written – one conversation, one experiment, and one courageous question at a time.
Ready to learn more about how to write your talent intelligence story? Book a demo to learn more.
Rebecca Warren is a Sr. Director with our Talent-centered Transformation Team. Before joining Eightfold, she held multiple talent leadership roles with large CPG, agri-biz, restaurant, and retail organizations.