Alek Liskov
Executive AI Advisory

AI strategy from an operator who's actually shipped it.

I've built AI products that moved a billion dollars in revenue at Verizon, scaled to 200K weekly users across Mailchimp and QuickBooks, and now run three AI-native businesses. I help executive teams turn AI ambition into measurable outcomes.

New York, NYSelectively engaging 4–6 new clients per year
Alek Liskov, Executive AI Advisor
Currently
CEO, Superb Holding Co.
Founder, Datalinx · Green Oak · ServiceGrow

Track record built across

verizon.
intuit
Mailchimp
QuickBooks
UPS
AppCard
verizon.
intuit
Mailchimp
QuickBooks
UPS
AppCard

Track record

What I've actually shipped.

Most AI advisors talk in slides. I'm an operator. Here's the work behind the credentials — concrete systems, owned outcomes, and the P&L impact attached to each.

$1B+
incremental revenue

From the Personalization AI platform I led at Verizon — across consumer and business lines, integrating ML decisioning into every digital channel.

200K
weekly active users

Of the Revenue Intelligence AI product I built at Intuit, embedded across Mailchimp and parts of QuickBooks. From zero to scale in 18 months.

350+
person AI org

Cross-functional AI & Data Product organization I led at Intuit — 35 PMs reporting in, partnering with engineering, design, science, and ops.

26 PB
data platform migration

Stood up Verizon's modern data stack (VGrid) by consolidating 13 Hadoop lakes — the foundation for every AI use case the company now runs.

$50M → $10M
in fraud losses

First production ML algorithm for digital fraud detection at UPS, modeling 1.6 trillion packages and partnering with the data warehouse and digital teams.

20%
fewer network catastrophes

Predictive AI models for network outage prevention at Verizon — preventing CATAs (catastrophic events) and protecting customer experience hours.

How I help

Four ways to work together.

Every engagement starts with a conversation. We pick the structure after I understand your specific situation — not before.

01

Executive AI Strategy

1:1 work with the CEO, CTO, CDO, or Head of AI on the questions that don't fit a slide. Where AI actually moves your P&L. What to build vs. buy. How to sequence the bets so they compound.

Typical structure
  • Two-day intensive or six-week sprint
  • Board-ready strategy memo
  • Quarterly check-ins available
02

AI Org & Talent Design

Restructure or stand up your AI organization. Hiring playbooks, leveling, comp benchmarks, interview loops, and fractional Chief AI Officer coverage while you search for permanent leadership.

Typical structure
  • Org design + reporting structure
  • Hiring loops and rubrics
  • Fractional CAIO engagements
03

AI-Native Operations

The playbook I used to run Superb and Green Oak with agents instead of headcount — applied to your services, ops, or revenue teams. Replace operational tax with compounding infrastructure.

Typical structure
  • Workflow audit and agent design
  • Build plan with effort and ROI estimates
  • Hands-on build with your team or trusted partners
04

Board & Diligence Advisory

Board-level AI guidance, M&A diligence on AI-first targets, vendor evals, and fundraise prep for AI-positioning. The independent expert eye your board has been asking for.

Typical structure
  • Board observer or formal board seat
  • Diligence reports under NDA
  • Quarterly retainer or per-engagement

How I work

Operator's discipline, not theatre.

/01

Outcomes, not pilots

Every engagement is anchored to a metric on your P&L. If we can't write it down on day one, we don't start.

/02

Senior, not staffed

You work with me directly. No associates, no decks generated by analysts. The work is the conversation and the artifact at the end of it.

/03

Operator's bias

I've owned the budgets, hired the teams, and shipped the systems. I'll tell you what's actually hard versus what looks hard in a McKinsey deck.

/04

Build, don't theorize

I run three AI-native businesses today. Every recommendation is tested against my own operations before I bring it to yours.

About

The short version.

I'm an AI product leader and operator. I've spent the last decade building AI systems inside large enterprises — Verizon, Intuit, Mailchimp, UPS — and the last two years building AI-native companies of my own.

At Verizon, I was a founding executive in the central AI & Data organization. I led the Personalization AI platform that produced over a billion dollars of incremental revenue across consumer and business. I also led the team responsible for digital twin modeling, forecasting, network experience optimization, and the underlying foundation models — and the migration of 26 petabytes of data into the modern stack the company runs on today.

At Intuit, I led a 350+ person cross-functional AI & Data Product organization across Mailchimp and parts of QuickBooks. I built Mailchimp's AI strategy and roadmap, the internal Customer Data Platform, and the Revenue Intelligence AI product that scaled to 200K weekly active users.

Today, I'm the founder of Datalinx AI (an agentic data refinery), CEO of Superb Holding Co. (a luxury staging firm I built with my wife Rumy, run almost entirely by agentic systems), Founder & Managing Partner of Green Oak Capital (off-market multifamily in New Jersey, also AI-native), and Founder of ServiceGrow.ai (productizing the AI-native operations playbook for SMBs).

I advise selectively. If you're an executive whose board is asking the AI questions and you'd rather get them right than fast — let's talk.

“AI is going to do for services businesses what the internet did for media businesses.”

— From my essay on building an AI-native services company

Get in touch

The first conversation is on me.

I keep my advisory practice deliberately small — four to six active engagements at a time. Send me a note about your situation and what would make our first conversation worthwhile. I read every email personally and reply within a business day.

hello@alekliskov.com

Prefer LinkedIn? Find me here.

A few useful things to include

  • Your role and the company you're working with
  • The AI question that's actually keeping you up
  • What a good outcome from our conversation looks like

Frequently asked

Before you write

Who is this for?

CEOs, CTOs, CDOs, Heads of AI/Data/Product at companies between $50M and $10B in revenue. PE-owned operating companies. Boards looking for an AI committee chair. Founders raising on an AI thesis who need an operator's stamp.

What's the engagement structure?

Three modes: a single strategy session (90 minutes), a focused engagement (4 to 12 weeks against a defined outcome), or a quarterly fractional retainer. We pick the structure on the first conversation based on what you actually need.

Do you take board seats?

Selectively. Board observer roles are easier; a formal seat requires alignment on the cap table and the company's stage. Always happy to discuss.

Can you sign an NDA before we talk?

Yes — send one along with your first email and I'll countersign before our conversation. Most strategy calls don't need one.