The Liminalist: Why Your AI Transition Needs a Guide, Not Just a Vendor
Every quarter, I sit across the table from at least one CEO who tells me some version of the same thing: "We know AI is coming. We're just not sure how to move." They're not confused about the technology. They're confused about the sequence: who goes first, what gets automated, what gets protected and who's accountable when the first attempt doesn't work as planned. That's usually where the AI conversation actually falls apart. Not in the demo, but in the six months after, when the organization has to change how it operates rather than just what it owns. Ted Whetstone and I have been comparing notes on why that gap opens up and where it closes. Here's what he's learned building AI transitions from the inside, and where I've landed watching organizations try to absorb them.
You Know You Need to Move. So Why Haven't You?
If you're leading a $100M-plus enterprise right now, you already know AI isn't optional. You've read the reports. You've watched competitors announce pilots. Your board has asked "what's our AI strategy?" in at least one meeting this quarter, and you gave an answer that sounded more confident than it felt.
And yet, here you are. Still watching. Still gathering information. Still waiting for the moment when the path forward feels obvious instead of overwhelming.
This isn't indecision. It's the entirely rational response of a serious leader facing a genuinely confusing landscape. You're accountable for a P&L, a workforce, a culture and a reputation you spent years building. You're not going to bet any of that on the most confident voice you heard or the flashiest demo you saw at a conference.
There's also a quieter fear underneath the strategic one: the fear of being sold something you don't fully understand by someone who talks faster than you can think. You've sat through those pitches before, for other technologies, other "transformations." You know how that story usually ends: a six-figure invoice, a tool nobody adopted and a very awkward conversation with your CFO.
So you wait. And the waiting itself starts to feel like a liability.
Here's the reframe worth sitting with: the issue was never that you're behind. The issue is that you've been offered the wrong kind of help.
What You Actually Need Isn't a Vendor. It's a Guide.
Most AI service providers show up ready to sell you an outcome: a chatbot, a model, a "solution." They arrive with an answer before they've understood your question. That approach works fine when the technology is simple and the organization is ready. It fails, often expensively, when neither of those things is true.
What growing organizations actually need in this moment is something closer to what we'd call a liminalist: a practitioner whose job isn't just to deliver an AI capability, but to walk your leadership team through the internal transition that has to happen before any external transition can succeed.
Think about what a midwife does. She's not just there for the delivery. She's there through the discomfort, the uncertainty, the moments of doubt, helping the people involved trust their own capacity to get through something unfamiliar. Or think about a death doula, who helps families move through an ending that feels disorienting and irreversible, at a pace that respects where they actually are, not where a textbook says they should be.
Both roles share something important: they don't treat the transition as an event. They treat it as a state, a liminal space between what was and what will be, and they understand that rushing someone through that space, or ignoring the discomfort of it, causes real harm. It causes rejection, resistance and regret.
AI adoption inside a real organization is no different. It isn't a light switch. It's not "before AI" and "after AI." It's a passage: through fear, through skepticism, through the very human discomfort of not knowing what your role looks like on the other side. A good liminalist doesn't erase that discomfort. They help you move through it, deliberately, at a pace that builds real confidence instead of forced compliance.
Orchestration, Not Ownership
That framing matches something I see constantly on the client side of this work. The organizations that move well through an AI transition aren't the ones who found a single brilliant vendor. They're the ones who stopped trying to own every piece of the capability themselves and started orchestrating it instead.
That's the model our Collective of Certified Executive Entrepreneurs™ and Strategic Capability Partners is built around, the same operating model behind Gig Talent's work as an Executive Talent Agency and Capability Studio. We're cast for the project, not the role, which means the practitioner leading a given stage is chosen because the work at that moment calls for their specific pattern recognition, not because they happened to be assigned to the account on day one. A liminalist guiding an AI transition and a technical architect building the actual pipeline are rarely the same person, and pretending otherwise is one of the quieter ways these engagements go sideways.
Why the Sequence Matters as Much as the Solution
There's a second reason this matters, beyond simply keeping your team comfortable: you're not a passive recipient of this transition. You're a co-creator of it.
No outside provider, however technically brilliant, understands your business the way your leadership team does. They don't know which process quietly holds the whole operation together, which team is already stretched thin or which past initiative failed and why. That knowledge lives with you. A liminalist's job is to draw it out, respect it and build the sequence of change around it, not around a generic playbook.
That's why the right approach almost never starts with "here's the tool." It starts with listening. Then a small, low-risk step that builds trust. Then another, slightly bigger. Each stage calibrated to your organization's actual appetite and readiness, not a vendor's quarterly sales target. This incremental uplift does two things at once: it keeps your people from rejecting the change outright, and it keeps you actively steering the process, so the tools that get deployed are the ones that solve your real problems, not someone else's template.
Weighing Your Options
Most leaders in your position are quietly considering a few paths.
Hire a large consulting firm. You get polish, frameworks and a very impressive deck. What you often don't get is continuity, genuine listening or anyone who stays long enough to understand your culture before the engagement ends and the next case study begins.
Build it internally. Appealing in theory, you keep control and institutional knowledge. In practice, most internal teams lack deep AI technical expertise and the organizational change and coaching skills needed to bring skeptical stakeholders along. You end up with a brilliant pilot that never scales past the innovation team.
Hire point-solution AI vendors. Fast, narrow, often effective for a single use case. But they rarely understand your people, your HR dynamics or how to sequence adoption across a resistant middle-management layer. The tool works. The transformation doesn't.
The Fourth Option
There's a fourth path most leaders don't know to ask for, and it's the one I'd point you toward: an orchestrated model. Not a firm that owns the relationship end to end, and not an internal team stretched past its expertise, but a coordinated group of independent practitioners, assembled project by project, working toward your outcome rather than toward their own utilization targets.
That distinction matters more than it sounds. When capability is coordinated instead of owned, you get access to the right expertise at the right stage without paying for expertise you don't need in the stages before or after it.
The Goldilocks Zone
The organizations that navigate this well tend to find a very specific combination: not too technical, not too soft, not too generic. The right zone requires:
Genuine AI and technical fluency: people who understand what these tools can and can't actually do, so you're not oversold or undersold on capability.
Real organizational experience: practitioners who have sat inside large enterprises and understand how decisions actually get made, and unmade, in a business your size.
HR and change-management know-how: because adoption isn't a technical problem, it's a human one, and it lives or dies on how people are supported through it.
Coaching skill: someone who can sit with you and your leadership team, ask the right questions and help you build genuine conviction rather than performative buy-in.
A team that is simply good to work with: kind, patient, honest practitioners who tell you the truth even when it's not the easy answer, and who treat your organization's pace as valid rather than an obstacle to their timeline.
That combination is rare. Most providers are strong in one or two of these dimensions and thin everywhere else. The ones who hold all five are the ones who can actually walk you through a liminal space without either rushing you or leaving you stuck in it.
The CEOs I watch move well aren't the ones who found the perfect vendor. They're the ones who found a guide willing to move at the pace their organization could actually sustain, and had the discipline to say so when a step was being rushed. That's the difference between an AI initiative and an actual transition.
Where to Start
You don't need to have it all figured out before you reach out. In fact, if you did, you wouldn't need a guide.
At Gig Talent, we don't parachute in with a fixed solution and a countdown clock. We work as an extension of your leadership team, bringing AI expertise, organizational depth and genuinely thoughtful practitioners who take the time to understand where you are before proposing where to go. Our approach is whole-client, not transactional: we're invested in your organization's full transformation, not in closing a single deal and moving to the next account.
If you're ready for a conversation (not a pitch, a conversation) about what a thoughtful, staged path into AI could look like for your organization, we'd welcome the chance to talk.
No pressure, no jargon, no bamboozling. Just a genuine exploration of where you are and what moving forward together might look like.