AI development could stop today. Most companies would still need a decade to use what already exists.
Data sourced from Accenture, Wharton, and Microsoft. Explored in our Point of View.
Three deliverables. No shelf life.
MarTech Landscape
A map of your current stack — what's working, what's underused, and where AI integration points connect to the architecture you actually need. Not a vendor scorecard. A diagnostic.
Implementation Plan
Prioritized use cases mapped to your GTM strategy, with concrete steps and sequencing. A view into how work gets done today and how it should get done — built around your constraints, not a generic playbook.
AI Architecture Blueprint
The orchestration layer for program-level scale. Intent signals, asset selection logic, and audience classification — designed as a coordinated system instead of disconnected point solutions.
How we think about this.
The AI Growth Imperative
Revenue dwarfs savings. In every industry. A data-driven argument for why your AI strategy should target growth, not efficiency.
InteractiveCognitive Surrender
An interactive experiment on what happens when you stop thinking for yourself. Play it. Then think about your AI delegation strategy.
Point of ViewMicrosoft Copilot Has a Pick Me Problem
Why the race to embed AI everywhere is producing tools that optimize for adoption metrics instead of actual outcomes.
The Build Discipline
Before we build anything, a requirement must survive five steps. Adapted from engineering cultures at high-velocity tech companies.
Challenge the requirement
Every requirement is wrong by some degree. Interrogate it before accepting it.
Remove before you add
If you're not adding 10% back after deletion, you didn't delete enough.
Simplify what remains
Only after steps one and two. Optimizing something that shouldn't exist is waste.
Speed up the cycle
Accelerate only what has earned its place in the process.
Automate last
Automation at the wrong stage produces the wrong output, faster.
Ground rule: Every requirement has a name attached. Not a department. A person.
We were all promised jetpacks.
You've heard this before. A transformative technology arrives. The conference circuit lights up. Vendors race to rebrand. And within a few years, reality catches up — most of what was promised doesn't materialize the way the pitch decks said it would.
AI is different. The underlying technology is real. But the gap between what's possible and what's actually running inside most organizations? That's growing, not shrinking.
Jetpacks They Said exists because commercial teams don't need more AI hype. They need someone who builds the systems that turn AI's potential into actual, running infrastructure.
We're not here to sell you the future. We're here to make the present actually work.
Ready to talk?
15 minutes. No pitch deck. We'll talk about where AI fits in your marketing infrastructure and whether it's worth going deeper.
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