8 platforms evaluated honestly
ChatGPT, Claude, Perplexity, Gemini, Copilot, Grok, Manus, and GenSpark. What each was architecturally built to do, where it excels, where it fails, and which enterprise use cases it actually wins.
━ For revenue leaders, operators, & founders
There are 10,000 people
teaching AI. Almost none
of them have ever owned
a revenue number.
I have. Sixteen years. $175M closed across some of the most complex enterprise sales environments in healthcare technology. $225M raised helping founders get there.
Your team has the tools. What they don't have is a system built under real pressure. The kind where a flat quarter ends careers and a wrong call costs millions.
I built AI into how I operate because I had no choice. Now I teach revenue leaders to do the same.
Download The Executive's AI Tools Playbook
8 platforms evaluated. Honest use cases. Zero vendor loyalty.
No course pitch. No weekly newsletter you didn't ask for. Just the Playbook.
$175M+
Enterprise deals closed
16 yrs
Commercial leadership
50+
Startups advised
$225M+
Capital raised by clients
When AI changed the operating landscape, I spent thousands of hours building workflows, stress-testing models, and implementing AI systems inside live revenue operations where the results were measured in pipeline and closed deals, not in enthusiasm.
- Brett Jansen
━ For revenue leaders, operators, & founders
Most AI education is built
for curiosity, not for consequence.
Your team subscribed to platforms nobody uses. The workshop from last quarter produced enthusiasm for two weeks. Your board wants an AI strategy — and the people selling you solutions have never operated inside the complexity you manage every day.
The problem is not that AI does not work. The problem is that most AI training teaches tools without context, prompts without process, and tactics without the strategic foundation that makes any of it stick.
Only 6% of enterprises have moved generative AI projects beyond the pilot phase into production. The Fortune 100 CIO who committed exclusively to Microsoft Copilot grew frustrated when it could not synthesize a competitive landscape from unstructured data. The Series B founder, who defaulted to ChatGPT for everything, missed that Perplexity would have cut their research time by 70%.
These are not technology failures. They are thinking failures. The tool is never the bottleneck. The bottleneck is knowing what job each tool was built to perform — and having someone who has operated under real pressure to show you how.
“
Brett's AI training gave me 10+ hours back every week. Six months later, I got promoted. I was wrong to be sceptical.
Amanda S.
VP of Marketing
“
We stopped wasting time on tools that looked impressive and started using the right ones properly. That changed everything.
Daniel R.
Operations Director
“
This was the first training that actually felt relevant to the pressure we deal with every day. It just made sense.
Lauren P.
Chief of Staff
— FREE RESOURCE
The Executive's AI Tools Playbook March 2026 Edition
01
02
The 5-layer architecture
The framework used by the enterprises gaining measurable advantage in 2026. Layer 1 (Copilot for ambient workflow) through Layer 5 (specialized multimodal and real-time functions) — assign the right tool to the right job.
03
The Copilot correction
Only 8% of employees choose Copilot when alternatives are available. 44% of lapsed users cite distrust of answers. The data on what a Copilot-only strategy actually costs your organization.
04
The 90-day deployment framework
Days 1–30: audit and align. Days 31–60: pilot and prove. Days 61–90: scale and systematize. A structured path from AI curiosity to AI execution with measurable outcomes at each stage.
Download The Executive's AI Tools Playbook
8 platforms evaluated. Honest use cases. Zero vendor loyalty.
No course pitch. No weekly newsletter you didn't ask for. Just the Playbook.
— WHY THIS WORKS DIFFERENTLY
AI education built for leaders who answer to revenue, not to Reddit.
01
Fix the workflow first
We start with where your team spends time on assembly instead of judgment. Fix the process, then apply the technology. AI on a broken workflow produces faster chaos.
02
Operator experience, not enthusiasm
Every framework here was built inside a revenue operation, tested against live pipeline, and refined under the pressure of board reporting and quarterly targets.
03
Outcomes you can measure
Hours recovered. Decisions improved. Pipeline velocity increased. Research compressed from days to minutes. We measure what matters to your P&L.
ABOUT BRETT
Operator-built. Executive-tested.
Sixteen years in enterprise commercial leadership. Cerner, Optum, Butterfly Network. Rep to sales leader to Chief Growth Officer. I have sat in the boardroom preparing for a raise, on the floor of a hospital explaining ROI to a skeptical CMO, and in the war room rebuilding a pipeline that was 60 days from becoming a board-level problem.
I have closed more than $175M in enterprise deals, worked with over 75 startups in the last five years, and collectively helped founders and executive teams raise over $275M in capital. I have built go-to-market strategies for companies from pre-seed through Series A and IPO.
When AI changed the operating landscape, I spent thousands of hours building workflows, testing models, and implementing systems inside real revenue operations. Not in a lab. In live pipeline, with live clients, where the stakes were measured in dollars and deadlines.
What I teach is built from that operating history — not from a course launched the year everyone discovered ChatGPT.
Brett Jansen
CEO · Brett Jansen AI & Health Tech House
$175M+
Enterprise deals closed
$275M+
Capital raised by clients
16 yrs
Commercial leadership
75+
Startups advised
