درباره این اپیزود
In this episode of Grownlearn, Zorina Dimitrova speaks with Nikola Totuhov, Founder & COO of Invisio, about how Agentic AI is transforming business operations, automation, and scalable growth.
This is not a theoretical conversation. It’s a practical look at how AI is already being implemented inside companies to reduce manual work, unify fragmented data, and significantly improve operational efficiency.
One key insight stands out: AI is not plug-and-play. Up to 70% of implementation is data preparation. Without structured data, even the most advanced systems fail to deliver real value.
Nikola shares real-world examples, including how AI-driven workflows:
• Reduced operational teams from 8 people to 2
• Increased social media performance by 85%
• Automated large parts of customer support and internal processes
The discussion also explores where AI is heading, from open-source, locally hosted models to the evolving role of human judgment in business-critical functions like sales, marketing, and strategy.
This episode is especially relevant for founders, operators, product leaders, and investors looking to understand how AI can drive capital-efficient, scalable growth.
🎧 Listen on Spotify:
https://open.spotify.com/show/1bUIDGbSQl4BlHeNeeJfva
🎧 All platforms:
https://grownlearn.onpodium.com/
About Grownlearn
Grownlearn, led by Zorina Dimitrova, supports growth-stage ventures in strategic positioning, investment readiness, and capital alignment.
We connect VCs, family offices, and strategic investors with carefully selected high-growth opportunities across Europe and the U.S., while helping founders scale with clarity and structure.
👉 Explore opportunities or book a private briefing:
https://grownlearn.org/
Connect with Grownlearn
LinkedIn: https://www.linkedin.com/company/grownlearn
X: https://x.com/grownlearn1729
Instagram: https://www.instagram.com/healnlearn_grownlearn/
Episode Chapters
01:15 Agentic AI Explained & Why Data Is Critical
06:33 The Challenge of Unifying Business Data
08:56 Why 70% of AI Implementation Is Data Preparation
13:19 Real Case Study: 90% Automation & Team Reduction
19:21 AI in Marketing: 85% Performance Increase
24:57 Validation, Testing & Cost Optimization
30:27 Open-Source AI & Future Workflows
33:32 AI Risks, Opportunities & Final Thoughts
This is not a theoretical conversation. It’s a practical look at how AI is already being implemented inside companies to reduce manual work, unify fragmented data, and significantly improve operational efficiency.
One key insight stands out: AI is not plug-and-play. Up to 70% of implementation is data preparation. Without structured data, even the most advanced systems fail to deliver real value.
Nikola shares real-world examples, including how AI-driven workflows:
• Reduced operational teams from 8 people to 2
• Increased social media performance by 85%
• Automated large parts of customer support and internal processes
The discussion also explores where AI is heading, from open-source, locally hosted models to the evolving role of human judgment in business-critical functions like sales, marketing, and strategy.
This episode is especially relevant for founders, operators, product leaders, and investors looking to understand how AI can drive capital-efficient, scalable growth.
🎧 Listen on Spotify:
https://open.spotify.com/show/1bUIDGbSQl4BlHeNeeJfva
🎧 All platforms:
https://grownlearn.onpodium.com/
About Grownlearn
Grownlearn, led by Zorina Dimitrova, supports growth-stage ventures in strategic positioning, investment readiness, and capital alignment.
We connect VCs, family offices, and strategic investors with carefully selected high-growth opportunities across Europe and the U.S., while helping founders scale with clarity and structure.
👉 Explore opportunities or book a private briefing:
https://grownlearn.org/
Connect with Grownlearn
LinkedIn: https://www.linkedin.com/company/grownlearn
X: https://x.com/grownlearn1729
Instagram: https://www.instagram.com/healnlearn_grownlearn/
Episode Chapters
01:15 Agentic AI Explained & Why Data Is Critical
06:33 The Challenge of Unifying Business Data
08:56 Why 70% of AI Implementation Is Data Preparation
13:19 Real Case Study: 90% Automation & Team Reduction
19:21 AI in Marketing: 85% Performance Increase
24:57 Validation, Testing & Cost Optimization
30:27 Open-Source AI & Future Workflows
33:32 AI Risks, Opportunities & Final Thoughts
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