Fractional Chief AI Officer

Helping your org
become AI-native.

Fintechs, Protocols, Communities, and Research Teams

From assessment to working implementation

Book a call →
The Problem

Sound familiar?

01

Data privacy constraints

“We can't send our data to cloud LLM APIs, and on-premise solutions are expensive and complex.”

02

Vision without execution

“We have a vision for an agent-native future, but no strategy at the protocol level — and no one to ship it.”

03

Connections that never happen

“Our members have exactly the expertise each other need — but the right introductions never happen. The event ends, and the connections fade.”

04

Fragmented context

“Our context is split across 10 different chats, apps, and tools — AI doesn't see the full picture.”

Clients

Who I work with

Regulated fintech companies

CTOs and compliance teams who need AI adoption but can't send confidential data to cloud APIs. ISO 27001, PCI DSS, on-premise constraints.

Decentralized protocols & networks

Protocol teams that need an AI strategy aligned with decentralization values — whether just starting with AI or already building agent-native features.

Communities & event organizers

Community leads and organizers whose members could help each other — if they knew who to talk to. Introductions depend on one person's memory and vanish after the event.

Research & knowledge teams

Teams whose work lives in documents, threads, and AI sessions. Context resets with every new chat, handover, or new team member.

Process

How I work

01
1–2 weeks

Assessment

Assess AI maturity: map current processes, tools, and data flows. Identify quick wins, bottlenecks, and data privacy risks.

✓ Deliverable
Assessment report with prioritized recommendations
02
1–2 weeks

Solution Design

Co-create an implementation plan. Select tools within your constraints. Define responsibilities and success metrics.

✓ Deliverable
Implementation roadmap with cost estimates
03
Ongoing

Execution & Iteration

Hands-on implementation: configuring systems, writing integrations, deploying agents. Monthly iterations based on real usage.

✓ Deliverable
AI-native workflows, not a PDF
Engagement Model

Start small, prove results, then scale.

Assessment
Duration1–2 weeks
Commitment15–20 hrs
Clear picture of where AI fits and what to do first.
Pilot
Duration4–6 weeks
Commitment40–60 hrs
Prove value on one real workflow.
Retainer
DurationMonthly, min. 3 mo.
Commitment~40 hrs/month
Transition toward AI-native operations.
Book a call →
Differentiators

Why me

I don't just advise — I build and ship.

Most AI consultants deliver a strategy deck and leave. I write the code, deploy the systems, and stay until it works. My own products are built AI-natively — multi-agent development, agent-written code under human review.

An intersection few people cover.

20+ years in software development. Deep expertise in blockchain, regulated finance, and AI/ML. I can talk to a GP about deal flow in the morning and deploy an on-premise LLM in the afternoon.

Track Record

Example AI engagements

On-premise RAG systems for regulated fintech (ISO 27001, PCI DSS)

AI-powered deal coordination for VC funds

Privacy-preserving AI agent architecture for decentralized protocols

AI-driven process optimization for software development teams

Eugene Pavlenko
LinkedInSpiralOSAXIOMA GROUP
About
Eugene Pavlenko
Chairman, AXIOMA GROUP — software development company
Co-founder, SpiralOS — tools for collective intelligence: Wingman, Brain, New Internet Map
Co-founder, WhiteFlo — white-label crypto banking (exited 2025)

Tech entrepreneur and builder since 2008. Background in blockchain, AI/ML, and regulated financial systems. Based in Barcelona.

“Building at the intersection of AI agents and decentralized coordination. I help organizations move from using AI tools to becoming AI-native.

Driven by a deeper question: how to build systems that enable collective intelligence with a high degree of freedom and cooperation.”