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4 AI Use Cases Currently Generating Revenue: Agent-Based Workflows
#UseCases #Monetizing #AgentBased #Workflows
Learn about me: https://www.natebjones.com/
Sources:
Dev – Andy’s tweet: https://x.com/ajassy/status/1826608791741493281
Legal – Harvey: https://www.harvey.ai/blog/a-new-era-for-technology-adoption-in-professional-services
Legal – Spellbook Associate: https://www.spellbook.legal/associate
Sales – Clay: https://www.clay.com/
Labor Market vs Software: https://a16z.com/ai-turns-capital-to-labor/
Chapters
00:00 AI Use Cases: Monetizing Developer Workflows
02:23 AI Use Cases: Transforming the Legal Industry
04:09 AI Use Cases: Revolutionizing Sales Processes
05:59 Monetizing AI Models: The Power of Advertising
07:26 Pricing Models for Agent-Based Workflows: Capturing the Value of AI
Takeaways
1. AI can drive efficiency gains and cost savings in developer workflows, such as automating upgrades and reducing manual tasks.
2. AI agentic workflows in law can improve productivity and reduce cognitive load by automating multi-document research and analysis.
3. AI can enhance sales processes by automating data enrichment and outreach, leading to more effective lead generation.
4. Monetizing AI models through advertising can generate significant revenue, but proper pricing models need to be developed to capture the value.
5. The pricing models for agent-based workflows need to account for the tremendous savings and potential impact on compensation costs.
Sound Bites
“Amazon saved an estimated $260 million in efficiency gains because they automated almost all of their upgrades to Java 17 with Amazon Q.”
“AI agentic workflows in law are shifting from ‘ask the LLM’ to ‘let the agent do it’, improving efficiency and reducing cognitive load.”
“Clay.com automates data enrichment and outreach for sales leads, combining AI with traditional business value.”
Summary
This conversation explores four different AI use cases that are currently monetizing. The use cases include developer workflows, law, sales, and monetization of AI models. Each use case demonstrates the value and potential of AI in driving efficiency, productivity, and cost savings. The conversation highlights the importance of AI agentic workflows and the impact they can have on various industries. It also emphasizes the need for proper pricing models to capture the value generated by AI.
Keywords
AI use cases, monetization, developer workflows, law, sales, AI agentic workflows, efficiency, cost savings, pricing models
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