The Enterprise AI Challenge: Do More With Less and Exceed Your Number
Your team is smaller than it was a year ago. Your AI stack is bigger. Your number went up.
Somewhere in that sequence, a headcount decision got made and an operating-model decision got skipped. The org chart changed. The system that actually produces revenue didn't — it just has fewer people in it and more software.
That's not a tooling problem. It's an architecture problem, and it surfaces in three places most enterprise marketing teams haven't looked yet.
The cost surprise. AI is neither free nor fixed. Engineering hit this first — cheaper per unit, higher total bill. Marketing is next, and most budgets were built on the opposite assumption.
The expertise surprise. The people who could tell you whether the output was any good were the people who got cut. What's left is coordination capacity, not judgment.
The routing question. Work has to land somewhere. When it stops landing on a person, the question isn't what AI can do — it's what should route where, and who owns the result.
You'll leave able to name which of the three is actually costing you, and what good looks like on the other side of it.
Who this is for: Enterprise marketing teams that lost the headcount, gained the AI, and kept the target. CMOs, VPs and heads of marketing, revenue leaders.
Format: 60 minutes — 40 minutes presentation, 20 minutes live Q&A. Come with the question you can't ask internally.
Wednesday, July 29, 2026 · 2:00 PM ET / 11:00 AM PT Live on Microsoft Teams · Free to attend
Presented by Christopher Campbell, Founder & CEO, The Campbell Consulting Session 2 of The Commercialization Architecture Series — Enterprise track