Fractional AI CTO

Your team has the data.
Let's build the AI
that uses it.

Strategy, architecture, and hands-on delivery — without hiring a full-time AI team. One senior person accountable from roadmap to production.

Book a discovery call Let's chat instead
Portrait of Maksym Skorchenko
Maksym Skorchenko
AI Architect & Solutions Manager
Available for new projects
What's Included

Everything needed to ship AI in production.

One engagement covers the full stack — from deciding what to build to making sure it runs.

AI Strategy
& Opportunity Map

Finding where AI creates real business leverage — a prioritised map tied to your operations and data.

  • Business process audit
  • Use case scoring & prioritisation
  • Build vs buy recommendation
AI strategy visual
AI architecture visual

System Architecture
& Data Readiness

Designing pipelines, model selection, and integrations so what gets built is maintainable, scalable, and secure.

  • Data pipeline & infrastructure design
  • Model and stack selection
  • Security and compliance review

Delivery Oversight
& Team Transfer

Managing the build and making sure your people own the system when delivery is complete.

  • Vendor and team management
  • Hands-on build when needed
  • Knowledge transfer and documentation
AI delivery visual

Every engagement is scoped individually — strategy only, full delivery, or anything in between.

Let's talk about your project
Selected projects

Systems that run in production.

Real projects, real outcomes — no slide decks, no prototypes that never shipped.

Self-Improving Support AI Employees project visual
Customer Support

Self-Improving Support AI Employees

Autonomous support agents trained on historical emails and call transcripts via RAG and embedding pipelines. The system improves with every interaction without manual retraining.

Resolution without human escalation
61%
of support requests resolved autonomously before handoff
RAG Embeddings Vector DB LLM fine-tuning
Demand Forecasting System for Retail Stores project visual
Retail

Demand Forecasting System for Retail Stores

Time-series transformer model predicting SKU-level demand across a retail network, including seasonality, promotions, and store-specific patterns.

Forecast accuracy improvement
89% accuracy
for fast items, increased from 71% with an average-based approach
Time-series Transformers PyTorch Feature engineering MLflow
AI Data Gateway project visual
Data Platform

AI Data Gateway — Internal Data as a Commodity

A unified access layer allowing external AI systems and agents to query internal company data through a governed API with auth, rate limiting, and versioned semantics.

MCP server development effort
0 dev hours
humanless-written solution for MCP servers
API Gateway Semantic layer Auth & rate limiting MCP / REST

All projects delivered end to end — from architecture to production handover.

Discuss your project
Let's talk

Got the data. Got the team.
Missing the architecture?

A 30-minute call is enough to understand whether there's a fit — and what a first engagement could look like. No pitch, no deck. Just a direct conversation about your system.

Book a 30-min call Prefer to write first?
What happens next
  1. 1
    30-min discovery call
    You explain the problem, I ask the right questions.
  2. 2
    Scoping & proposal
    Clear scope, timeline, and format within 3 days.
  3. 3
    We start building
    Strategy, architecture, or full delivery — as needed.
Available for new projects — responding within 24h
Maksym Skorchenko — Fractional AI CTO