Irina Dragunow
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AI-First Engineering · Delivery Intelligence

AI-first doesn’t start with AI.

It starts with understanding how your engineering organization actually works.

I help engineering teams build that foundation —
visibility first,
automation second,
AI where it creates real value.

Independent · Read-only access · Jira + GitHub

Philosophy

Principle 01

Visibility before automation. Automation before AI-first.

Principle 02

Automating broken processes only helps broken processes fail faster.

The AI-first journey

Five steps. No shortcuts.

Steps one to three are my services — the foundation. Steps four and five are the shift itself; support is available on request.

  1. 01

    Understand

    You start by understanding how your engineering system actually works.

    Delivery Assessment · starting at $2,500

    One-time engagement: risks, bottlenecks, actionable recommendations. Details ↓

  2. 02

    Gain visibility

    Visibility replaces assumptions with data.

    Delivery Intelligence · from $1,500/month

    Continuous visibility: dashboards, forecasts, monitoring, executive reporting. Details ↓

  3. 03

    Automate repetitive work

    Only automate what is already understood.

    Engineering Workflow Automation · starting at $2,500

    Custom AI-powered workflows: bug triage, incidents, Jira/GitHub/Slack, QA, releases. Details ↓

  4. 04

    Become AI-enhancedthe shift

    Teams spend less time on repetitive work. More time on engineering. This is what the foundation makes possible.

  5. 05

    Become AI-firstthe shift

    With the foundation in place, your organization is AI-ready: AI moves into daily engineering operations, and processes are reshaped around it. This is where the AI-first transformation truly begins — on ground your team understands and trusts.

Live demo

Explore the real thing.

This is the actual dashboard and forecast — with fictional data for the sample client “Nimbus”. Turn the dials yourself.

reports.example.de/nimbus
Screenshot of the delivery forecast: statistical completion dates, scenario comparison and what-if simulator
Works with Jiraor Jira + GitHubSelf-contained HTML · no login

Services

Three ways to work with me.

Delivery Assessment

$2,500one-time · starting at

  • How your engineering system actually works
  • Risks and bottlenecks, named
  • Actionable recommendations
Start a conversation

Delivery Intelligence

$1,500per month · starting at

  • Dashboards & delivery forecasts
  • Monitoring & early warnings
  • Executive reporting
Start a conversation

Workflow Automation

$2,500per workflow · starting at

  • AI bug triage · incident management
  • Jira · GitHub · Slack automation
  • QA & release automation

Pricing depends on complexity, integrations and scope.

Start a conversation

About

Business × Engineering × AI

I have always been fascinated by how complex systems work. Whether building my own business, working in enterprise environments or now helping engineering teams improve delivery with AI, one thing has stayed the same:

I learn fast.
I enjoy solving problems.
And I question existing ways of working instead of accepting them.

That combination of business thinking, structured problem solving and technical curiosity shapes how I approach every project.

I don’t try to replace engineering with AI.
I help engineering teams build the foundation that allows AI to create real value.

I document what I build and learn along the way:

Follow the journey on LinkedIn ↗

Keep becoming.

Irina Dragunow

Irina Dragunow

AI-First Engineering · Delivery Intelligence
Working worldwide

Business thinkingSystems thinkingRapid learning

FAQ

Questions, answered.

Independent · Read-only · Jira + GitHub