Part 1 of 9 — Series Introduction
Most executive teams I meet have an AI strategy. Almost none of them have an agentic enterprise.
That distinction is doing a lot of work in the sentence above, so let me unpack it.
An AI strategy usually looks like this: a slide deck, a list of POCs, a handful of "AI champions" scattered across business units, and a budget line item that grew 200% last fiscal year. It produces decks, demos, and the occasional internal newsletter celebrating a win that nobody outside the team can quite explain.
An agentic enterprise looks different. Agents do real jobs. They show up in the work, not next to it. They greet guests, schedule shows, route bags, recommend films, dispatch crews, balance yields, and triage maintenance — across the front line, the back of house, and every system in between. They take actions that move money, time, and risk. And — this is the part most enterprises skip — there is an honest organizational answer for what happens when one of those agents gets something wrong on a Saturday night, in front of a paying guest, with a phone camera pointed at it.
Over the last 18 months, I've worked with executives across media, hospitality, travel, and live entertainment on what it takes to actually become an agentic enterprise. The pattern is remarkably consistent. The companies getting it right are not the ones with the most models, the biggest GPU budgets, or the splashiest demos. They are the ones who have done the unglamorous work across seven specific focus areas.
This series is a field guide to those seven areas, drawn from a maturity framework I've been using with clients to assess where they actually are versus where they think they are. Spoiler: there is almost always a gap.
The Seven Focus Areas
Here's the map. We'll spend one article on each:
Strategy — the part most enterprises think they've nailed and almost always haven't
Operating Model — how agent work actually gets done, by whom, and with what oversight
Expertise & Culture — the most underrated bottleneck in the entire program
Security & Guardrails — what stands between you and a very bad day
Agent Development Lifecycle (ADLC) — building, testing, and supporting agents like the production systems they are
Technology Platform — the architecture that lets you scale instead of sprawl
Data Foundation — the reason most agents hallucinate
Across these seven areas sit 33 specific capabilities. Each one can be scored on a 1-to-5 maturity scale, where 1 is "we're experimenting" and 5 is "we're leading." Most enterprises I assess come in at an honest 1.7 average. The leaders, even the ones with strong reputations, rarely break a 3.4.
That's not a criticism. It's an opportunity. The gap between 1.7 and 3.4 is where most of the Real People Impact lives.
Meet The Aurelia Worlds Company
Throughout this series, I'll use a composite enterprise — Aurelia Worlds — to walk through the maturity journey concretely. Aurelia is not real, but every detail in their story is. It's drawn from real engagements I've led, with names changed and edges rounded just enough to keep my colleagues out of trouble.
Aurelia is a global integrated entertainment and hospitality company. Roughly 120,000 cast members worldwide, with operations spanning:
Aurelia Pictures and Lantern Animation — feature film studios producing 14-18 theatrical releases a year
Aurelia Networks and Aurelia+ — broadcast and cable networks plus the company's flagship streaming service
Aurelia Parks & Resorts — four destination resorts (Aurelia Kingdom, Aurelia Worlds, Aurelia Riviera, Aurelia Pacifica) totaling 11 theme parks and 47 hotels
Aurelia Voyages — a 9-ship cruise line
Aurelia Skies — the company's owned-and-operated leisure airline
Aurelia Live — Broadway productions and global touring shows
Aurelia Consumer and Aurelia Games — merchandise, licensing, and interactive
Listed, profitable, and somewhere in the middle of the technology adoption curve. They've done their share of AI POCs. They've also had their share of false starts. A new Chief Digital Officer arrived 18 months before our story begins, with executive sponsorship for an agentic transformation and a mandate to deliver results, not slides.
If your organization sees itself in some of Aurelia's pain, that is not a coincidence. It's the point.
What Each Article Will Do
Every article in this series follows the same structure:
What the focus area actually means (the plain-English version, not the framework version)
What it looks like at low maturity, drawn from real things I've watched executives do that they shouldn't have
The Big Rocks Aurelia had to move to advance from low to leading
What "leading" looks like in practice — the visible signals, not the abstract description
The Real People Impact at the other end
Real People Impact, or RPI, is the north star metric I use across all of this work. It's the answer to a deceptively simple question: did this make work better for the humans on the other end? Guests, cast members, partners, and the audience watching at home. If the answer is no, the maturity score doesn't matter.
What This Series Won't Do
A few things I'm consciously not going to do:
I won't pretend this is platform-specific. The maturity framework holds regardless of which agent platform you build on. The Big Rocks are the same.
I won't pretend this is easy. It isn't. The executives who tell you it is are selling something.
I won't give you a quick-win playbook. Becoming an agentic enterprise is a multi-year journey. Anyone who tells you otherwise is either lying or about to be wrong.
What I will do is give you the honest picture. Seven areas. Thirty-three capabilities. The Big Rocks. And the journey of one composite enterprise that did the work and lived to tell about it.
Why This Matters Now
We are roughly two years into the era of useful enterprise agents. Two years is enough time to know what works. It is not yet enough time for the field to have settled. Most of the playbooks you'll read in 2027 are being written right now, in production, by the teams who are willing to take the early scars.
If you are in one of those teams, this series is for you. If you are watching from a safer distance, hoping someone else will figure it out before you have to commit, this series is also for you — just read it faster, because the gap between leaders and followers is going to harden in the next 18 months in a way that will be very hard to close later.
Next article: Strategy. Why "we're doing AI" is not one, and what it takes to build one that actually moves a P&L across a portfolio that spans theme parks, streaming, cruise ships, and a 200-aircraft fleet.
If you've already started this journey, I'd genuinely love to hear what's working and what isn't. The collective field is still young enough that we're all writing the playbook together.
This is the first in a 9-part series on agentic enterprise maturity. The next seven articles will each take one focus area, and the final article will pull the threads together. If you want to follow along, the easiest way is to follow me here on LinkedIn.