Trusted Advisor to CEOs on Decision Architecture, Growth, and Operational leverage

I’m typically brought in when a company is doing many things right, but growth isn’t compounding the way it should.
Common signals:
AI and automation feel important, but it’s unclear where they actually create leverage
Marketing, sales, operations, and technology are no longer reinforcing each other
Revenue has reached a plateau, or growth feels increasingly fragile
The team is busy, but leaders don’t fully trust the numbers behind decisions
Every new initiative adds complexity instead of momentum
At this stage, the problem is rarely execution.
It’s decision quality under complexity.
Over time, I’ve found that most growth problems are actually decision problems.
As companies scale, most failures don’t come from bad execution or weak talent.
They come from decisions that quietly compound in the wrong direction.
Decisions increasingly depend on:
What information leaders trust
Which signals are ignored or overweighted
How incentives shape behavior
how systems interact across marketing,
operations, and technology
I refer to this as Decision Architecture.
My role is to help CEOs improve their Decision Risk & Decision Architecture, so the right decisions become clearer, faster, and more consistent as complexity increases.
AI, automation, and tooling matter, but only after the decision layer is sound. Otherwise, they amplify noise.
This is Advisory work.
I’m not involved in day-to-day execution.
My primary role is to engage when decisions carry disproportionate impact. I appear when timing, sequencing, or tradeoffs might materially shape outcomes.
When the decision environment is clear, I can weigh in on strategic direction. This usually happens after constraints and tradeoffs are explicit.
Typical engagements involve:
diagnosing the primary constraint to growth
clarifying which decisions matter now vs. later
identifying where signals are being misread or overweighted
aligning marketing, operations, and leverage around those decisions
identifying where automation or AI meaningfully increases throughput and where it won’t
Clients work with me knowing that when a high-stakes decision arises, we can engage quickly and directly.
The goal is not to do more.
It’s to restore coherence so decisions compound again.

Founder-led or closely held companies
~$10M–$50M in revenue
Growth complexity is increasing faster than confidence
Leadership wants fewer, better decisions—not more tools or tactics
Early-stage startups
Companies looking for execution, implementation, or agency services
Teams seeking AI experiments without clear business constraints
Organizations unwilling to challenge existing assumptions
If this feels easy to replicate internally, it isn’t the right engagement.
My background spans leadership in software, automation, marketing technology, and operational re-engineering across both small and large organizations.
What clients value is not a specific credential or framework.
They value pattern recognition across scale. They want the ability to see where systems quietly break before results make it obvious.
I’ve worked in environments where decisions carried:
High downstream cost
Delayed feedback
Incomplete information
Competing local incentives
Those conditions and not tactics are where most growth problems actually emerge.
A Note on Experience
My background spans software, automation, marketing technology, and re-engineering operations across both small and large organizations.
What clients value isn’t a specific title or framework.
It’s pattern recognition across scale and the ability to see where systems quietly break before results make it obvious.
I keep my advisory work limited and selective.
This is not because the work is scarce.
It’s because clarity requires attention.
If this page reflects the situation you’re in, you’re welcome to reach out.
We’ll determine quickly whether a conversation makes sense.
No pitch.
No obligation.
Contact
Matt Kantor
US & Canada
I work with a small number of companies at a time. Availability is limited.
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