In this episode of Grownlearn, host Zorina Dimitrova speaks with Nikola Totuhov, Founder & COO of Invisio, about how Agentic AI is transforming business operations, automation, and growth strategy.
Nikola shares practical insights from implementing AI systems that reduce manual work, unify fragmented data, and unlock operational efficiency at scale. From automating customer support to optimizing marketing workflows, this conversation goes beyond theory into real-world applications, costs, and limitations of AI adoption.
A key takeaway: AI is not plug-and-play. Up to 70% of implementation is data preparation, and companies that fail to structure their data will struggle to unlock real value.
They also explore:
• How AI reduced operational teams from 8 people to 2
• Why coding and development roles are most exposed to automation
• How AI tools increased social media performance by 85%
• The shift toward open-source, locally hosted AI models
• Why human judgment remains critical in sales, marketing, and strategy
This episode is especially relevant for founders, operators, product leaders, and investors looking to understand how AI can drive scalable, capital-efficient growth.
Take a peek at our curated playlist Insights on AI: https://www.youtube.com/playlist?list=PLTJlaeHk03J2hGDSXMS0nSgKsL38JprPg
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We also support founders with strategic growth advisory — helping you transform your business model, increase valuation, and prepare for investment or exit.
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🎬 Episode Chapters
01:15 - 06:33: Agentic AI Explained & Why Most Companies Fail Without Proper Data
06:33 - 08:56: The Hidden Challenge: Unifying Communication & Operational Data
08:56 - 13:19: AI Implementation Breakdown: Why 70% Is Data Preparation
13:19 - 19:21: Real Case Studies: 90% Automation & Reducing Teams from 8 to 2
19:21 - 24:57: AI in Marketing: 85% Increase in Social Media Performance
24:57 - 30:27: Agentic AI Validation, Testing & Cost Optimization Strategies
30:27 - 33:32: Open-Source AI Models & The Future of Workflow Automation
33:32 - End: Will AI Replace Humans? Risks, Opportunities & Final Insights
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