vCxO
The leadership seat, filled, without the headcount.
Fractional Chief Revenue, Chief AI, Chief Customer, and Chief Operations roles, scoped to what you actually need this year rather than what the org chart says you should have.
What this has actually done
6x
Sales team efficiency
On one client's new-business team.
3.75x
Conversion lift
Opportunity open to closed-won improvement.
20–50%
Churn reduction
Range across client engagements.
When this is the right shape
There's a stage where you need the judgment of an executive and can't justify the salary of one. You know what's wrong. You need someone who's fixed it before, in the room, owning it, for a fraction of a full-time hire.
The failure mode here is a fractional exec who advises and never decides. Say your VP Sales wants a new comp plan. The fractional CRO writes a thoughtful memo on comp plan design, everyone agrees it's good, and four months later there's still no comp plan. If nobody owns the call, you bought consulting and called it leadership.
So these roles carry the decisions.
The seats
Four roles, each scoped to the engagement:
- Chief Revenue Officer
- Chief AI Officer
- Chief Customer Officer
- Chief Operations Officer
Matt ran revenue at DefenseStorm for over two years and tripled our SQL-to-close rate. He got there by getting the fundamentals right — process, data, team — then layered AI on top in ways that actually moved the number, not just the slide deck. Mattike is a natural extension of that work. If you're a CEO or revenue leader looking for real efficiency gains from someone who's done the job and not just studied it, talk to Matt.

Steve Soukup
CEO, DefenseStorm
Not sure this is your problem?
Start with the GTM AI and Tooling Audit. Two weeks, $2,000, fixed scope. You'll know what's actually broken before you commit to fixing it.
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Related
GTM Consulting
Top of funnel, conversion, and churn get owned by three different teams and solved as three different problems. They aren't. Fixing one while the other two leak is how you end up running hard and staying flat.
Infrastructure & Ops
Good process and honest data are the reason the AI work returns anything at all. Skip them and you've bought a faster way to be wrong.
Start with a conversation.
We've done this work for teams with your shape of problem. Let's see whether there's a path to the same results for us.