Oct 12, 2026 · 32 min
AI turns consulting expertise into scalable products
1591: The Death of the Service Industry? How AI is Creating a New Breed of Consultants w/ Raman Julka
The episode examines whether AI will shrink service businesses or make judgment, credibility, distribution, and execution more valuable.
- 1AI can make repeatable consulting analysis accessible through products while preserving human judgment and change management as core value.
- 2Building with AI requires less coding, but raises the importance of choosing meaningful problems and applying domain expertise.
- 3Lower barriers to entry intensify competition, making distribution, customer feedback, and rapid iteration more durable advantages than ideas alone.
Don't miss
Julka explains how he built an enterprise-grade product without personally writing code, while emphasizing that expertise and product direction still matter.
The brief
Raman Julka left a comfortable McKinsey partner role after 25 years across consulting and international business to pursue an AI venture.
His thesis is that recurring consulting analysis can become a repeatable product, while human judgment, domain knowledge, and change management retain their value.
Julka describes building an enterprise-grade product without personally writing code, shifting the founder’s job toward problem selection, product direction, and validating AI outputs.
AI lowers the cost of starting a company, but copied technology creates a harder question: can a business build distribution and credibility before competitors catch up?
The practical answer is to ship early, gather feedback from real users, and iterate quickly rather than mistake perfection for progress.
Books & mentions
ValueChaser.ai
It is the concrete example of the AI platform Julka describes for consulting-grade business analysis.
ChanceMe.ai
It offers another example of an AI-native product discussed in the conversation.
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