Executive Leadership
Global AI Strategy
The model works. Growth stalls anyway.

Companies with annual revenues between $1 million and $5 million are stuck at the same wall: The technology works, but decision-making and product leadership can't scale with it. Maryna Deundiak, PhD. has been rebuilding this layer for over 15+ years.

10 M+
Customers Across
6
Countries
15+
Years Leading
10
Patents
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WOMO. DOU WOMO. DOU
Maryna Deundiak — hero

Three Principles,
No Complexity.

Speed without decision architecture creates invisible chaos. Three principles keep it from forming: understanding, timing, and the nerve to own the call. These principles are the discipline that keeps speed from turning into disorder.

Clarity

A decision no one understands is a decision no one can own.

Patience

Authority compounds when it's built into the system, not improvised under pressure.

Courage

Someone has to own the call when the system is wrong. We define who, before it is.

Track Record

Proven where
the pressure is real.

Decision architecture isn't theory here. These are the environments where it was built and tested at scale — millions of users, multiple markets, and systems that had to hold while the business kept moving.

Stellantis

Led product initiatives across online booking, service-status tracking, remote diagnostics, and connected-vehicle experiences.

10M+Users
6Countries
13+Auto brands
30%+Booking adoption

Improved service visibility and customer experience across every market.

Edisen

Led product strategy across SaaS and media-technology products.

7%Churn reduction
5%Conversion lift

Processica

Led product development for digital platforms and automation systems.

20KDaily active users
24%Faster delivery
Maryna Deundiak
"

AI doesn't fail because models are weak. It fails because organizations don't redesign authority.

Maryna Deundiak, PhD.

Sound familiar?

The Problem

Most AI startups break after traction.

In the early stage, speed wins. After $1M ARR, speed without decision architecture creates hidden chaos.

Key Challenges
  • No clear ownership of AI-driven decisions.
  • Product, GTM, and operations operate independently.
  • Customers struggle to understand where AI fits into their workflow.
  • Founders become the escalation point for every important decision.
  • Activity scales faster than accountability.
The Framework
1

AI Works

↓
2

Customers Adopt

↓
3

Workflows Become Complex

↓
4

Ownership Becomes Unclear

↓
5

Accountability Breaks

↓
6

Growth Stalls

Framework Tools
That Redesign Authority.

The same frameworks used inside paid engagements, distilled to a single page. Built for founders who need decision structure, not another deck. Download, apply, keep.

AI Accountability

The Authority Gap Audit

Five questions that reveal exactly where your AI makes calls no one was assigned to own.

Get the Framework — Free →
Founder Bottleneck

The Decision Rights Blueprint

A simple map for moving decisions off the founder's desk without losing control of the outcome.

Get the Framework — Free →
View All Frameworks →

Learn directly from the work.

Multi-day programs and focused sessions on decision architecture, AI accountability, and scaling past the founder bottleneck.

Course 2 weeks

From AI Features to AI Business

Your AI company won't break at $5M ARR. Your operating system will.

Jul 22 – Aug 7 View course →
Lightning Lesson 1 hour

Why AI Companies Get Stuck

  • Identify your biggest scaling bottleneck
  • Assess your company's decision architecture
  • Build a practical improvement plan
Free View Lesson →
See everything on Maven →
Leadership - Strategy - Decision

Is Your Business Ready for a
Decision?

Work with Maryna
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