@matthewmathisoni
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Co-Founder MBL Partners | Author of Leadership Orbit | CEO @AllevioCare | Helper | Fixer | Builder | Disciple of Jesus Christ 🐝 Beekeeper & Dad
Dallas, Texas
Joined April 2011
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A magazine just called me a visionary leader.
I wrote a book arguing nobody is coming to crown you.
Both things are true. The cover is the lagging indicator. The work was the leadership.
Most AI stacks fail the Friday test.
Not because the model is weak — because nobody owns the handoff when the demo ends.
Spray-and-pray buys another seat.
A foundation decides what to delete before you add.
What would you cut from the stack this week before opening one more login?
Fitz nailed the setup tax most operators quietly pay every morning.
Ten minutes re-explaining who you are and what you decided last week isn't "using AI." It's rent on a missing foundation.
We keep seeing the same pattern: point tools everywhere, context nowhere, and the work resets overnight.
Give the work a place to live outside your head. Then the model has something to compound on.
We keep hiring copilots like they're employees.
No job description. No owner. No definition of done.
Spray-and-pray looks like momentum on the expense report.
A foundation looks like one boring workflow that survives a model swap.
What workflow would you put under one owner before you buy the next seat?
AI point solutions keep winning the demo.
Foundations win the Friday handoff.
Spray-and-pray buys another login.
A foundation decides who owns the context before the model writes a word.
Where did your last tool add noise instead of shortening a handoff?
Spray-and-pray AI buying looks busy on the P&L.
A new copilot here. A chatbot there. Another "pilot" with no production path.
What actually stalls is not intelligence. It's the missing operating layer: shared context, clear ownership, workflows that survive a tool swap.
MBL has worked with Krista Ai and we are seeing the lived example of building that layer first — not another point solution.
Which tool in your stack would you delete tomorrow if the foundation were already solid?
We keep buying AI seats like they're progress.
Nobody asks what one finished task should cost, or who owns the workflow after the demo.
Foundation first. Then the model is a worker, not a shopping list.
What would you delete from the stack before you add another tool?
Spray-and-pray looks busy.
Foundation work looks quiet.
From both seats I trust the team that can name the shared operating layer before they buy the next copilot.
What did you build once that still saves you every Friday?
We didn't buy an AI strategy.
We bought twelve tools and called the calendar a roadmap.
Spray-and-pray feels like progress until Friday still needs the same three people to make one decision.
What would you delete before you add the next seat?
Most teams I see don't have an AI problem.
They have a tool-sprawl problem.
Five point solutions. Zero shared operating layer.
Friday still runs on the same spreadsheet plus three logins.
What would change if you built the foundation first?
The AI bill is growing faster than the value.
Another copilot. Another seat. Another "quick win" that never became how the company works.
The stack compounds. The operating layer doesn't.
What would you cut tomorrow if the invoice had to match the change in how work actually moves?
Another AI pilot just got approved.
Same pattern I keep seeing from the operating seat: five tools, three dashboards, zero shared way of working.
Usage will look great. The company will still run the same way on Monday.
Foundation first, or you just bought a nicer spray-and-pray stack.
Which pilot actually changed how your team decides?
Every operating company I touch has a drawer full of AI point solutions.
Chat here. Summarizer there. A "copilot" bolted onto one workflow.
None of them share context. So the team still reconciles by hand.
Foundation first means one system of record for how work actually moves — then the tools.
What broke the last time you added another AI tool without fixing the underlying process?
Usage was up. The company still wasn't operating differently.
Thirty people with their own prompts is not a foundation. It's spray and pray with a nicer dashboard.
Jimmy wrote this week's Thrive with AI piece (link below) on what a real rollout looks like: one team ships a before-and-after, then the rest of the building has something to copy.
Who on your team has a result the skeptics can actually point to?