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When deploying AI negotiation assistants, organizations face a fundamental question: should your agent extract maximum value or seek fair, mutually beneficial outcomes? This isn't a technical decision—it's philosophical, reflecting your company's approach to relationships and value creation.

In this episode with Prof. Remi Smolinski, we explore how sales teams use integrative approaches to move beyond price discussions, while procurement requires sophisticated routing using the Kraljic matrix to match suppliers with appropriate strategies. We also examine how agents can adapt strategies in real-time based on counterpart behavior.

If you enjoyed this episode, please leave a review and check out our website: www.negoai.ai

I welcome any suggestions, questions, or comments at yrana@negoai.ai

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In this second of three episodes based on my conversation with Professor Remi Smolinski, we share how targeted training and coaching reduce friction and build the confidence teams need to adopt AI in everyday negotiations.

If you enjoyed this episode, please leave a review and check out our website: www.negoai.ai

I welcome any suggestions, questions, or comments at yrana@negoai.ai

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Copyright Disclaimer Under Section 107 of the Copyright Act 1976, allowance is made for "fair use" for purposes such as criticism, comment, news reporting, teaching, scholarship, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing.

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In this first of three episodes based on my conversation with negotiation expert Remi Smolinski, I share key insights about how AI transforms negotiation outcomes. Based on research with 120+ executives, we discuss why negotiators using large language models achieve 40-48% better individual results and 84% better joint outcomes - even without building trust first. I explain the practical workflow systems I've developed for sales and procurement teams and why symmetric AI adoption creates fairer negotiations. Key findings from my paper 'When AI Joins the Table: How Large Language Models Transform Negotiations.'

If you enjoyed this episode, please leave a review and check out our website: www.negoai.ai

I welcome any suggestions, questions, or comments at yrana@negoai.ai

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Copyright Disclaimer Under Section 107 of the Copyright Act 1976, allowance is made for "fair use" for purposes such as criticism, comment, news reporting, teaching, scholarship, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing.

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McKinsey faces a paradigm shift when PharmaCrest Global deploys AI to challenge their $18.5 million consulting proposal. Part two of our negotiation analysis examines how established consulting firms adapt when clients use AI tools that complete market analysis in two hours versus their traditional two-week timeline.

This episode explores McKinsey's strategic response to AI-empowered buyers who arrive prepared with multi-agent workflows, leverage analysis, and outcome-based pricing demands targeting 25-30% cost reduction. We analyze how consulting firms must evolve their value proposition when traditional information asymmetries disappear.

Critical lessons for consulting leaders navigating the AI transformation in professional services and maintaining competitive advantage against technologically sophisticated clients.

If you enjoyed this episode, please leave a review and check out our website: www.negoai.ai

I welcome any suggestions, questions, or comments at yrana@negoai.ai

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Copyright Disclaimer Under Section 107 of the Copyright Act 1976, allowance is made for "fair use" for purposes such as criticism, comment, news reporting, teaching, scholarship, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing.

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PharmaCrest Global uses AI to transform a $18.5 million McKinsey negotiation. When internal AI tools complete market analysis in two hours versus McKinsey's two weeks, the power dynamic shifts dramatically.

This episode demonstrates how AI disrupts traditional consulting relationships and empowers buyers in high-stakes negotiations. We examine the preparation process using multi-agent AI workflows to analyze leverage points, predict scenarios, and develop outcome-based pricing strategies targeting 25-30% cost reduction.

Essential insights for executives leveraging AI in strategic negotiations and the future of professional services procurement.

If you enjoyed this episode, please leave a review and check out our website: www.negoai.ai

I welcome any suggestions, questions, or comments at yrana@negoai.ai

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Copyright Disclaimer Under Section 107 of the Copyright Act 1976, allowance is made for "fair use" for purposes such as criticism, comment, news reporting, teaching, scholarship, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing.

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Explore how AI transforms negotiation analysis through a real-world case study. We examine the 2008 Tata Motors acquisition of Jaguar Land Rover from Ford using two specialized AI assistants: Erin for cross-cultural management and Deepak for negotiation preparation.

Discover how AI identified key cultural challenges facing an Indian company acquiring iconic British luxury brands, analyzed stakeholder interests across multiple parties, and generated creative solutions like the "Britishness brand stewardship council."

We walk through the AI's strategic recommendations, from addressing union concerns to leveraging Tata's hands-off acquisition philosophy. Plus, learn how to build AI workflows that integrate multiple analytical perspectives for comprehensive M&A preparation.

Perfect for negotiators, M&A professionals, and anyone interested in practical AI applications for complex business decisions.

If you enjoyed this episode, please leave a review and check out our website: www.negoai.ai

I welcome any suggestions, questions, or comments at yrana@negoai.ai

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The second problem we have to tackle is how to distill a comprehensive negotiation assistant into less than 10,000 characters for Microsoft Copilot.

If you enjoyed this episode, please leave a review and check out our website: www.negoai.ai

I welcome any suggestions, questions, or comments at yrana@negoai.ai

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Copyright Disclaimer Under Section 107 of the Copyright Act 1976, allowance is made for "fair use" for purposes such as criticism, comment, news reporting, teaching, scholarship, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing.

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One problem we are facing in Cassidy is that whenever we scrape a LinkedIn profile with the built-in scraper, the information is limited to the headings.

If you enjoyed this episode, please leave a review and check out our website: www.negoai.ai

I welcome any suggestions, questions, or comments at yrana@negoai.ai

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Copyright Disclaimer Under Section 107 of the Copyright Act 1976, allowance is made for "fair use" for purposes such as criticism, comment, news reporting, teaching, scholarship, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing.