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

Track record built across
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.
Of the Revenue Intelligence AI product I built at Intuit, embedded across Mailchimp and parts of QuickBooks. From zero to scale in 18 months.
Cross-functional AI & Data Product organization I led at Intuit — 35 PMs reporting in, partnering with engineering, design, science, and ops.
Stood up Verizon's modern data stack (VGrid) by consolidating 13 Hadoop lakes — the foundation for every AI use case the company now runs.
First production ML algorithm for digital fraud detection at UPS, modeling 1.6 trillion packages and partnering with the data warehouse and digital teams.
Predictive AI models for network outage prevention at Verizon — preventing CATAs (catastrophic events) and protecting customer experience hours.
What I run today
Four AI-native businesses,
built on the same playbook.
I don't just advise. I operate. Every recommendation I bring to a client is tested daily against my own P&Ls. Here's what that looks like in practice.
Agentic Data Refinery
Datalinx AI
Founder & Strategic Advisor
An agentic data refinery platform helping companies transform messy consumer data into actionable insights and datasets. I founded it, built the product as Chief AI Officer, and now sit as strategic advisor.

AI-Native Services
Superb Holding Co.
Chief Executive Officer
Holding company behind Superb Staging — a luxury staging firm I run with my wife Rumy. 100+ properties, $2.1M+ avg listing, 73% faster sales. The entire operational backbone — DesignGrow — was built from day one to be run by AI agents.

AI-Native Real Estate
Green Oak Capital
Founder & Managing Partner
Off-market multifamily investing across Northern New Jersey — sourcing 20+ unit value-add deals from long-held mom-and-pop owners. Like Superb, the entire deal pipeline, diligence, and asset management runs on agentic systems I built.

AI Consulting for SMBs
ServiceGrow.ai
Founder
AI agents and ops consulting for small and mid-sized service businesses — the productized version of the AI-native playbook I built across my own ventures.

Also advising
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.
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.
- Two-day intensive or six-week sprint
- Board-ready strategy memo
- Quarterly check-ins available
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.
- Org design + reporting structure
- Hiring loops and rubrics
- Fractional CAIO engagements
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.
- Workflow audit and agent design
- Build plan with effort and ROI estimates
- Hands-on build with your team or trusted partners
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.
- Board observer or formal board seat
- Diligence reports under NDA
- Quarterly retainer or per-engagement
How I work
Operator's discipline,
not theatre.
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.
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.
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.
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.”
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.comPrefer 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.