🎯 AI Transformation Consultant

Helping IT companies (50-700 employees) implement practical AI solutions with measurable results in 4-8 weeks

€170k Total client savings
4-8 Weeks to results
40+ Teams trained

💡 How I Can Help

🔄

Automating Developer Routine Tasks

Problem: Engineers spend 30-40% of time on code documentation, test writing, and code reviews

My Approach: Implementing Cursor/ClaudCode/CodeRabbit with custom coding rules for consistent project style

Result: €100k savings for a 300-developer company
📚

Documentation to Smart Assistant

Problem: Support and new employees spend hours searching through hundreds of documentation pages

My Approach: Integrating documentation through embeddings and vector search for instant answers

Result: 27% better resolution, search time 15min → 30sec
💰

SaaS Spend Optimization

Problem: Company pays for 20+ tools but actually uses half of them

My Approach: Usage audit + replacing redundant tools with GPT solutions

Result: €70k savings in 6 months (Wisebits Group)
📊

Accelerating Business Analysts

Problem: Analysts spend hours writing USRD documentation, onboarding takes months

My Approach: GPT assistant with company templates and best practices

Result: 30% faster USRD, onboarding 8→5 weeks
👥

AI Candidate Screening

Problem: HR spends hours on initial resume screening and assessment

My Approach: Automated candidate evaluation system based on job requirements

Result: 3x faster screening, better shortlist quality
🎓

Team AI Training

Problem: Employees fear AI or don't understand how to apply it

My Approach: Practical workshops where participants solve real tasks using AI

Result: 75% report 20%+ time savings after 1 month

📋 Implemented Solutions

Case 1: GPT Transformation of Large Product Company

€100k saved
300 developers in an international IT company spent up to 2 hours daily on routine tasks
What Was Done:
  • Deployed Cursor with custom rule settings for all teams
  • Developed coding guidelines for consistent code style
  • Created prompt library tailored to technology stack
  • Conducted cascade training (team leads first, then teams)
Result: €100k annual savings (productivity + reduced hiring)
⏱ Timeline: 6 weeks for MVP, 3 months to full deployment

Case 2: Intelligent Support via RAG

27% improvement
Support team worked with 700-page technical manual
What Was Done:
  • Integrated documentation through embeddings and vector search
  • Configured semantic question-answer matching
  • Deployed solution in corporate chat with human fallback
Result: 27% increase in first-contact resolution, search time 30 seconds
⏱ Timeline: 6 weeks including data preparation and testing

Case 3: AI Assistant for Business Analysts

30% faster
Analyst team spent 40% of time on USRD and onboarding
What Was Done:
  • Configured few-shot prompting on 50+ documentation examples
  • Created templates for typical requirements and user stories
  • Integrated with Confluence for automatic publishing
Result: 30% faster documentation, onboarding 8→5 weeks
⏱ Timeline: 4-week MVP + 3 weeks refinement

Case 4: SaaS Optimization at Wisebits Group

€70k saved
Company used 23 SaaS tools including duplicate solutions
What Was Done:
  • Conducted usage audit through APIs and access logs
  • Identified redundant subscriptions and duplicate features
  • Replaced some tools with custom GPT chatbots
  • Successfully migrated 300 employees to new stack
Result: €70k savings in 6 months, zero data loss
⏱ Timeline: 2-week audit + 8 weeks migration

Case 5: HR Automation at Tsarka

3x faster
HR spent up to 5 hours daily on initial candidate screening
What Was Done:
  • Created AI system for resume evaluation against job criteria
  • Automated skills and experience matching with requirements
  • Configured candidate scoring and ranking
Result: 3x faster screening, 40% improvement in shortlist quality
⏱ Timeline: 3 weeks for development and configuration

🔄 My Working Approach

1

Diagnostics (1-2 weeks)

I analyze current processes, identify bottlenecks and AI opportunities. You receive a process map with prioritized opportunities and ROI calculations.

2

MVP/Pilot (2-4 weeks)

I launch a minimum viable solution with a small group. You get a working prototype and initial efficiency metrics.

3

Scaling (4-8 weeks)

I refine the MVP based on feedback and deploy to the entire team. You get a production-ready solution and trained team.

4

Optimization (ongoing)

I track metrics, gather feedback, expand functionality. You get a continuously improving system.

🛠 Technologies and Tools

AI/ML Platforms

GPT-4 Claude OpenAI API LangChain Vector DBs Embeddings

Prompt engineering, RAG systems, semantic search, chatbots

Process Automation

n8n Make Python API integrations Webhooks

Complex multi-step workflows, system integrations

Analytics and Data

SQL Python (pandas) Power BI Jupyter Data pipelines

ETL processes, dashboards, automated reporting

Development and DevOps

Git Docker Cursor GitHub Copilot CI/CD

AI tools configuration for developers

🚀 How Collaboration Usually Starts

🎯 Pilot Project

Duration: 4 weeks
from €7.5k
  • Working MVP for one specific problem
  • ROI metrics and measurements
  • Documentation and knowledge transfer
Best for: Testing the approach on a small task

📊 AI Process Audit

Duration: 2 weeks
€5k
  • AI opportunity map with ROI calculations
  • 6-month implementation roadmap
  • Priority matrix for quick wins
Best for: Understanding potential before a big project

🎓 Intensive Workshop

Duration: 1-2 days
€2k/day
  • Trained team on AI tools
  • Hands-on practice with real tasks
  • Quick wins implementation
Best for: Quick start and removing AI fears

❓ Am I Right for You?

We'll work great together if:

  • You have a product IT company with 50+ employees
  • You spend over €10k/month on SaaS or over 20% of time on routine
  • You're ready to invest 4-8 weeks in a pilot before scaling
  • You want practical solutions, not "AI for AI's sake"

You might want to find another consultant if:

  • You need custom neural network development
  • You expect a silver bullet for all problems
  • You're not ready for process changes
  • You need 100% offline solutions

⚠️ Important: Where I'm NOT a Fit

ML models development from scratch — I integrate and configure ready LLMs
Companies < 50 employees — ROI may not justify investment
100% automation of everything — realistically can automate 30-40% of routine
Fully offline solutions — most AI requires cloud APIs

📧 Let's Start with a 30-Minute Call

We'll discuss your situation and identify 2-3 quick wins that can be implemented within a month.
No sales or generic presentations — just specifics about your challenges.

📧 isolianov@gmail.com
📱 +381 658 065 029
💼 LinkedIn Profile