✦ Author of The AI BA Playbook — Amazon Kindle

I turn complex AI challenges into systems that actually ship.

AI systems consulting is the practice of translating an organisation's AI ambitions into structured, buildable architecture before development begins. Most AI projects fail not because of bad technology but because of vague requirements, skipped discovery, and misaligned stakeholder expectations. A structured AI consulting engagement — typically a 4–8 week discovery sprint — maps existing processes, identifies leverage points where AI genuinely improves outcomes, and delivers a prioritised backlog teams can act on immediately. StViga specialises in this pre-build phase: the structured discovery, requirements architecture, and roadmap design that determines whether an AI project ships successfully or stalls at demo. Clients include enterprise teams at EPAM Systems and growth-stage startups across video AI, e-commerce, and EdTech. Engagements start at $1,500 for an AI System Audit and $2,500 for a full AI Discovery Sprint.

Senior BA · AI Consultant · Product Architect

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Sound familiar?

What AI challenges does StViga solve?

"We have AI tools. We don't have an AI strategy."

"Our discovery phase takes months. Competitors ship in weeks."

"We built it. Users don't use it."

"We don't know where AI actually helps in our process."

A 2024 Gartner survey found 85% of AI projects fail to move from pilot to production — typically due to skipped discovery phases.

This is exactly where I come in. I bridge the gap between ambition and architecture — before a single line of code is written.

Selected work

Problems I've solved

I don't just write documents. I ship clarity that teams can actually build from.

Video / AI

TubeNest

From raw idea to investable product in 12 weeks

Co-designed the product strategy and subscription model from the ground up. Shaped the MVP backlog, UX flows, and multi-language support that enabled public beta launch on schedule.

Result Public beta launched on time. Stripe monetisation live from day one, reducing expected time-to-market by 25%.

Enterprise / ERP

EPAM Systems

An 8-month ERP roadmap where none had existed

Directed the discovery phase of a complex ERP migration. Translated enterprise business logic into structured delivery artefacts for cross-functional teams.

Result Clear agreed roadmap. Reduced post-discovery rework by 100% on a complex fintech migration.

E-commerce

Zakaz.ua

Redesign that measurably improved UX and throughput

Led a website redesign and integration stream while holding dual BA and Scrum Master responsibility — coaching the team on agile self-organisation.

Result Improved UX metrics. Expanded delivery slots by 35% through cross-departmental process optimization.

AI / EdTech

BA Assistant

Course methodology that turned a tool into a product

Built the go-to-market strategy and content architecture for an AI tooling platform. Designed learning paths with structured onboarding and skill progression.

Result Platform transformed from tool to educational product, successfully launching its first cohort of users.

My approach

What is Yurii Kalashnik's consulting philosophy?

Four principles I've tested across 40+ systems and 15 years of delivery.

Discovery is the product

Most teams skip discovery to start building faster, which is exactly why so many AI projects stall at the demo stage or fail entirely. I treat discovery as the most valuable deliverable, not an annoying phase to rush through. This prevents expensive rewrites and aligns stakeholders early.

Documentation nobody reads is liability

A requirement document that nobody on the engineering team actually reads is not documentation — it is a liability in writing. I create lightweight, structured artefacts that teams actually use daily. This matters because clear communication directly impacts the velocity and quality of the final software.

Boring systems, fascinating UX

The best AI systems are conceptually boring to describe but absolutely fascinating and seamless to use. If you need a massive 50-page slide deck to explain the value of your AI tool to a user, the product hasn't found its true market fit yet. Simple solutions win.

Speed needs guardrails

Speed of delivery and solid governance are not opposites; they are complementary. You can only move fast and scale confidently when you know exactly where the guardrails are — not because you blindly removed them. This approach mitigates risk while keeping development cycles lean and competitive.

15+

Years in product & BA

40+

Systems designed

Industries covered

Published playbook

What people say

Working with Yurii

Real feedback from clients and engineering teams.

"Yurii didn't just document our requirements — he reshaped how we think about discovery. His structured approach helped our fintech project move flawlessly from vague ideas to a concrete, risk-mitigated architecture."

VP of Engineering

EPAM Systems

"We had the AI tools but no strategy. After the Discovery Sprint, we finally knew what to build and what to stop building."

CTO

TubeNest

"Under Yurii's guidance, we were able to significantly expand delivery slots through deep process optimization between departments. His dual role as BA and Scrum Master kept the team focused and delivery on track."

Product Manager

Zakaz.ua

How I work

How much does AI consulting with StViga cost?

Fixed scope or ongoing partnership. Pick what fits.

AI Discovery Sprint

From vague AI ambition to a deployable roadmap. I map your processes, identify AI leverage points, and deliver a prioritised backlog your team can build from.

6 weeks · Fixed scope · Clear deliverables

$2,500 starting

Book a call

Advisory

Monthly AI Advisory

An embedded AI expert without the full-time hire. 4 sessions per month, async support, and a second brain on every major decision.

Month-to-month · Min. 2 months

$3,000 / month

Let's talk

Audit

AI System Audit

Already building something? I'll tell you where the cracks are before they become crises. Risk assessment, gap analysis, architecture review.

5 business days · Fixed price

$1,500

Book an audit

Questions & Answers

Frequently Asked Questions

How long does a Discovery Sprint take?

A typical Discovery Sprint is a 6-week fixed-scope engagement. During this time, we move from a vague AI ambition to a fully deployable roadmap and architecture that your development team can execute on immediately.

What industries do you serve?

I have designed over 40 systems across 5 distinct industries, with deep expertise in Enterprise ERP, E-commerce, Video/AI platforms, EdTech, and Fintech migrations.

How is this different from hiring a full-time BA?

Hiring a full-time Senior AI Business Analyst or Product Architect is expensive and takes months. StViga provides high-level, embedded expertise exactly when you need it—during the critical pre-build discovery and architecture phases—without the overhead of a full-time hire.

✦ Published 2026 · Amazon Kindle

I don't just consult on AI. I write about it.

Discovery, requirements, and human judgment in the age of AI. The professional guide for analysts and product thinkers who need to work faster without surrendering clarity.

"AI should not replace clear thinking. It should strengthen it."

Get the book on Amazon