One person. 18 years of receipts.
Thomas Rogers spent 18 years building marketing technology and operations at Vizient, a healthcare performance improvement company that serves over half the healthcare organizations in the United States. He led a 20-person team across marketing technology, analytics, research, and operations. He holds an MS in Data Science.
The work shipped results. An enterprise AI deployment he led returned 4x the projected ROI and $700K in year-one savings across 100+ users. A website personalization program his team built won the 2025 Sitecore Digital Impact Award for Most Innovative Use of Sitecore.
Jetpacks They Said exists because Thomas kept seeing the same gap from inside: commercial teams that wanted AI infrastructure but couldn't find someone who'd actually build it.
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 Perspective.
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.
Most projects run around $10k/month.
Scope varies. That number covers assessment, build, and ongoing optimization for a typical mid-market engagement. We confirm fit and scope on a discovery call before anything starts.
See examples of our work →How we think about this.
You're Buying Into an Empire. Know Whose.
A structural read of Karen Hao's Empire of AI — what OpenAI's mission drift means for anyone procuring frontier AI.
Data-Driven EditorialThe 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.
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.
AI is real technology. But the gap between what's possible and what's actually running inside most organizations is growing, not shrinking. Jetpacks They Said exists because commercial teams don't need more AI hype. They need someone who builds the systems.
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.
Schedule a Discovery Call