Artem Kholomyanskiy
Business analyst on the client side: process audit, specification, implementation oversight. AI becomes useful only when the task is described precisely enough.
11+ years in enterprise IT · Elbląg and remote · Polish, Russian, Ukrainian
Fresh Decor
What you can come with
The task is described so that the result can be checked: what to hand over to AI, what it costs and by which criteria to accept the work. This applies both to a new implementation and to tools that have already been bought but are not yet delivering results.
"Lots of manual work, and it is unclear what to hand over to AI"
Process audit: an analysis of the department's working time and repetitive operations. The output is a task map, a calculation of freed-up hours and implementation priorities.
Process audit → 02"AI is already in place, but employees get little benefit from it"
The company has ChatGPT, a corporate assistant or document search, but people use them only now and then: there are no working scenarios or rules. Following the "AI in the Department" method: an analysis of the department's tasks, role-based scenarios, instructions, staff training and criteria for assessing the effect.
The "AI in the Department" method → 03"A contractor offers to implement AI, and there is no one to check the offer"
An independent assessment of the offer: requirements, cost, risks, acceptance criteria. If the work is ordered, a specification and acceptance against it.
Consulting → 04"I want to use ChatGPT or Claude in my own work"
AI training on your own tasks: you build the solution yourself on your own materials, the consultant guides.
Training →Experience on the client side
Business analysis and project management on the client side: more than 11 years in corporate IT projects in the energy sector (SAP IS-U, SCADA, metering systems). Requirements, process alignment, work with contractors and acceptance of solutions; participation in projects with combined budgets of over $10M. This experience is applied when designing AI solutions: from framing the task to verifiable requirements and acceptance criteria.
For teams and software houses: joining a project as a business analyst on the business side.
Projects, specifications and practical solutions
Recruitment
First automations in Claude Code in training sessions.
Implementation
eSowa KPI Bot
Telegram bot: a daily summary of mechanics' output from eSowa.
Implementation
Decor Engine
Generating and checking product listings for Prom.ua and WooCommerce.
Specification
LombardPRO
Assessment of a pawnshop chain, concept and specification.
Own product
Solo Founder OS
A virtual team of agents on top of Claude Code.
Concept
ELA City Bot
A city assistant for Elbląg in Telegram.
Services: from the first conversation to a working solution
Consulting
An answer to your AI question: whether to automate, where to start, how to assess a vendor proposal.
Details → 02AI Training on Your Tasks
Hands-on sessions: you build the solution yourself in ChatGPT, Claude or Claude Code, the consultant guides. The first 30 minutes are free.
Details → 03Process Audit Before AI Implementation
A work-week snapshot and a task map: what to automate, what to keep human, how many hours get freed up.
Details → 04AI Solution Design
Which solution fits the company's task: options compared from a ready-made service to a custom build, with a recommendation.
Details → 05AI Specification
A document a contractor or an AI agent can build from predictably, with a result that can be checked.
Details → 06AI Solution Implementation
Automation to a specification: small solutions are built directly, specialists in the field are brought in for larger ones. Acceptance against criteria, support within an agreed scope.
Details →Ready to see where your department could save time? Briefly describe the task, and the reply will be an invitation to a free 30-minute call.
Write →How an implementation project goes
For consulting and training the path is shorter: a free call, then sessions.
What you can get right away
ANSS Standard
An open spec standard for development with AI agents, plus a skill for Claude
Details → 02AI in the Department
Five stages of bringing AI into a department: a free guide and a workbook with templates
Details → 03AI Automation Decision System
Whether a task is worth automating, which approach to take and where to start, before hiring a contractor
Details →Frequently asked questions
Notes and articles
Notes on specifications, automation, and working with AI.
Not sure what you need?
Describe what's happening in your department in a couple of sentences. You'll get an honest answer on whether it's worth doing and where to start.
or write directly by email:
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