EP 66: The Intelligence Dividend - Rethinking AI as Market Creation, Not Cost-Cutting | Rohit, LotusPetal AI
Most business leaders think of AI as either a cost-cutter or an efficiency multiplier. Rohit V Anabheri, CEO of LotusPetal AI and author of The Intelligence Dividend, argues there's a third and far more valuable layer: compounding — using AI to create entirely new markets and revenue, not just optimize existing ones.
Topics covered:
- Rohit's journey from cybersecurity (Osprey Security) into AI, and the shifts from LLMs to RAG to agentic AI over the past few years
- The three layers of AI value: subtraction (cost-cutting), multiplication (efficiency), and compounding (market creation)
- Why Rohit believes "the intelligence problem is solved" for extraction, analysis, and contextual knowledge
- How LotusPetal AI helps small and medium businesses compete for federal and state procurement — where only 5% of qualified businesses currently participate due to compliance complexity
- Vertical AI vs. general-purpose platforms (ChatGPT, etc.) for specialized tasks like proposal writing and capture management
- Security and compliance: SOC2 compliance, FedRAMP-hosted infrastructure on AWS GovCloud, containerized data, and a no-training-on-customer-data policy
- What The Intelligence Dividend offers readers — a practical workbook for building an AI adoption framework, not just theory
Guest Bio: Rohit is CEO of LotusPetal AI, a vertical AI platform helping small and medium businesses compete for federal and state procurement opportunities. He has spent 11–12 years in the AI space, beginning with his cybersecurity venture Osprey Security, and is the author of The Intelligence Dividend.
Connect: Find Rohit on LinkedIn to learn more about LotusPetal AI. The Amazon link for The Intelligence Dividend is available in the show notes.
More description
Most business leaders think of AI as either a cost-cutter or an efficiency multiplier. Rohit V Anabheri, CEO of LotusPetal AI and author of The Intelligence Dividend, argues there's a third and far more valuable layer: compounding — using AI to create entirely new markets and revenue, not just optimize existing ones.
Topics covered:
- Rohit's journey from cybersecurity (Osprey Security) into AI, and the shifts from LLMs to RAG to agentic AI over the past few years
- The three layers of AI value: subtraction (cost-cutting), multiplication (efficiency), and compounding (market creation)
- Why Rohit believes "the intelligence problem is solved" for extraction, analysis, and contextual knowledge
- How LotusPetal AI helps small and medium businesses compete for federal and state procurement — where only 5% of qualified businesses currently participate due to compliance complexity
- Vertical AI vs. general-purpose platforms (ChatGPT, etc.) for specialized tasks like proposal writing and capture management
- Security and compliance: SOC2 compliance, FedRAMP-hosted infrastructure on AWS GovCloud, containerized data, and a no-training-on-customer-data policy
- What The Intelligence Dividend offers readers — a practical workbook for building an AI adoption framework, not just theory
Guest Bio: Rohit is CEO of LotusPetal AI, a vertical AI platform helping small and medium businesses compete for federal and state procurement opportunities. He has spent 11–12 years in the AI space, beginning with his cybersecurity venture Osprey Security, and is the author of The Intelligence Dividend.
Connect: Find Rohit on LinkedIn to learn more about LotusPetal AI. The Amazon link for The Intelligence Dividend is available in the show notes.
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