$1B+
incremental revenue
From the Personalization AI platform I led at Verizon — across consumer and business lines, integrating ML decisioning into every digital channel.
Executive AI Advisory · Operator · Founder
Senior AI counsel for the decisions that land on the CEO's desk.
An advisory practice for CEOs, boards, and operating leaders making the highest-leverage AI decisions in their companies. Grounded in over a billion dollars of incremental revenue at Verizon, a 200,000 weekly-user product at Intuit and Mailchimp, a venture-backed AI company I founded, and three AI-native businesses I operate today.
New York, NYSelective intake · 4–6 new mandates per year
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
Founder track
Founded an AI company. Built the product. Raised the round. Now advising.
I co-founded Datalinx AI — an agentic data refinery for messy consumer data — and led it as Chief AI Officer through product launch and an institutional capital raise. In September 2025, I stepped out of the operating seat and into a Strategic Advisor role to make space for this advisory practice and the operating ventures behind it. I remain a founder; the day-to-day belongs to the team I helped build.
Visit Datalinx AI
01 · Founded
Datalinx AI
Agentic data refinery for consumer data
02 · Built
Product to launch
Shipped from zero as Chief AI Officer
03 · Raised
Institutional seed
From a respected investor base
04 · Today
Strategic Advisor
Founder seat preserved · since Sept 2025
Founder seat informs the advice. The advisory practice now sits alongside the operating ventures and is held to the same accountability standard — outcomes anchored to a metric, scoped before work begins.
Track record
Outcomes shipped, not theorized.
The work behind the credentials — concrete systems built and owned, with the P&L impact attached to each.
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.
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 (former CAIO)
An agentic data refinery platform that transforms messy consumer data into actionable insights and datasets. I co-founded it, served as Chief AI Officer through product launch and an institutional raise, and stepped into a Strategic Advisor seat in September 2025.
datalinx.ai
Visit
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.
superb.space
Visit
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.
greenoak.capital
Visit
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.
servicegrow.ai
Visit
Also advising
AccessWave — Strategic Advisor · since 2024
Releva — Advisor · since 2025
Bulgarian Angels Club — Investor · since 2023
Practice areas
Four mandates the practice supports.
Engagements are scoped to the question on your desk — not packaged in advance. Every mandate begins with a conversation.
01
Executive AI Strategy
Direct counsel for CEOs, CTOs, and Chief AI Officers on the decisions that move the P&L. Where to deploy capital. Build versus buy. How to sequence investments so each one compounds the next.
Engagement structure
- Two-day intensive or six-week sprint
- Board-ready strategy memo
- Quarterly check-ins available
02
AI Organization Design
Stand up or restructure the AI function. Org architecture, leveling, compensation benchmarks, hiring rubrics, and fractional Chief AI Officer coverage during a search for permanent leadership.
Engagement structure
- Reporting structure and headcount plan
- Hiring loops and interview rubrics
- Fractional CAIO engagements
03
AI-Native Operations
The operating model behind Superb and Green Oak — agents in place of headcount — applied to your services, operations, and revenue teams. Replace headcount-driven operations with infrastructure that compounds.
Engagement 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, diligence on AI-first acquisitions, vendor evaluations, and fundraise positioning for AI-led narratives. Independent counsel at the table where the question is being asked.
Engagement structure
- Board observer or formal board seat
- Diligence reports under NDA
- Quarterly retainer or per-engagement
Selected engagements
The work, anonymized.
Active mandates and recent client work, identifying details removed. Full context available under NDA on a qualified call.
01 · ACTIVE ENGAGEMENT
Client
Fortune Global 50 energy company
Function
Office of the CFO
An AI agent inside the CFO organization, automating investor relations.
Strategic advisor to the CFO organization on the design and deployment of a production AI agent for investor relations. The agent automates the workflows that surround quarterly disclosure — earnings preparation, analyst research aggregation, sentiment and Q&A intelligence, and the briefing artifacts that previously required weeks of analyst-grade work each cycle.
CFO AdvisoryAgentic AIInvestor Relations
Additional engagements available on request, scoped to relevance.
How I work
Operator's discipline,
not theatre.
/01
Outcomes, not pilots
Every engagement is anchored to a metric on your P&L. If it can't be written down on day one, the engagement doesn't start.
/02
Principal, not staff
You work with me directly. The conversation is the work; the memo is the artifact. No associates, no analyst decks.
/03
Operator's lens
I've owned the budgets, hired the teams, and shipped the systems. The advice distinguishes hard from theatrical — what is genuinely difficult from what merely looks difficult.
/04
Tested before recommended
Four AI-native businesses run on these recommendations every day. Every framework is stress-tested in my own operations before it's applied to yours.
Background
On the principal.
Operator first, founder second, advisor third. The last decade was spent building AI systems inside large enterprises — Verizon, Intuit, Mailchimp, UPS — and the last two years have been spent founding and operating AI-native companies of my own.
I co-founded Datalinx AI — an agentic data refinery for messy consumer data — and led it as Chief AI Officer through product launch and an institutional capital raise. In September 2025, I stepped out of the operating seat and into a Strategic Advisor role to make space for an executive advisory practice and the operating ventures alongside it. The founder seat is preserved; the day-to-day belongs to the team I helped build.
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 lines, the digital twin and forecasting work that ran underneath, 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 200,000 weekly active users.
Today I am Founder and Strategic Advisor (former Chief AI Officer) at Datalinx AI, CEO of Superb Holding Co. (a luxury staging firm I built with my wife Rumy, operated almost entirely by agentic systems), Founder and Managing Partner of Green Oak Capital (off-market multifamily real estate in New Jersey, also AI-native), and Founder of ServiceGrow.ai (productizing the AI-native operations playbook for SMBs).
Engagements are taken by introduction or direct inquiry. Selective intake — four to six new mandates per year.
“AI is going to do for services businesses what the internet did for media businesses.”
Begin a conversation
The first conversation is complimentary.
The practice is held deliberately small — four to six active mandates at any time. A short note describing the situation and what would make a conversation worthwhile is the right starting point. Every inbound is read personally, with a reply within a business day.
Prefer email or LinkedIn? hello@alekliskov.com · LinkedIn.
Frequently asked
Before writing
Who is this for?
C-suite leaders at companies between $50M and $10B in revenue, PE-owned operating companies, boards seeking an AI committee chair, and founders raising on an AI thesis who require an operator's perspective at the table.
What's the engagement structure?
Three modes: a single strategy session (ninety minutes), a focused mandate (four to twelve weeks against a defined outcome), or a quarterly fractional retainer. The structure is chosen during the first conversation, scoped to the question on your desk.
Do you take board seats?
Selectively. Board observer roles are accessible; a formal seat requires alignment on cap table, stage, and conflict-of-interest review.
Can an NDA be signed before our conversation?
Yes. Send one with your first email and it will be countersigned before the call. Most initial conversations do not require one.