Conversation
Understand what's happening now
We start with your questions. If the full picture is not yet clear, we'll put it together and identify the use cases worth checking.
Audit
AI Integration
Businesses are already investing in AI
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$37B
Estimated enterprise spending on generative AI in 2025
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71%
Of large Russian companies in the study use generative AI
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+15%
More issues resolved per hour with AI in a single-company study
Planning to introduce AI, or already using it? I'll check where it can help and where it adds manual work and unnecessary costs. Then I'll show where to start or what to change.
Approach
How I work
About the audit scope
The scope depends on how many use cases and systems we need to review. During our first conversation, we'll agree on what is included, what materials are available, and how long the work will take.
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Map
Map AI use
I connect the tasks, people, data, and tools: where AI is already involved and where it could be useful. The map shows who owns the outcome and which dependencies are easy to miss.
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Verification
Test AI on real tasks
I test the existing AI or candidates for adoption on real tasks: what people have to double-check, where errors can occur, and what the full cycle costs. I also review access and agent workflows.
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Decisions
Build a change plan
For each important use case, I explain what to keep, fix, or stop. I set priorities and show where to begin.
Deliverables
What you take away
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AI use map
Where AI is working or could help, what data and people are needed, and who owns the result.
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Cost and risk assessment
Where promised savings are lost to manual work, retries, or mistakes, and which dependencies create risk.
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Change plan
What to do first, what to leave as is, and what not to scale yet.
Next step
Let’s start with a conversation
You don't need to prepare a specification or gather every piece of data in advance. We'll start with your questions and identify the first area worth checking.