AI-Powered Negotiations for the Best Deal w/ Kaspar Korjus
Summary
In this episode, Alp Uguray interviews Kaspar from Pactum about revolutionizing negotiations with AI. They discuss Kaspar's background and the founding of the e-residency program in Estonia. They also explore the concept of negotiations and how AI can assist in creating value for both parties. The conversation delves into the future of negotiations, the transparency of AI decisions, and the parallels between entrepreneurship and participating in an Ironman race. Kaspar shares insights on decision-making, prioritization, and the importance of mental resilience. In this conversation, Alp Uguray and Kaspar discuss the potential applications of negotiation AI and the challenges of implementing it in various industries. They also touch on the topic of AI regulations and the balance between innovation and bureaucracy. Kaspar introduces Pactum's four-level negotiation intelligence framework, which categorizes AI negotiation use cases based on complexity and impact. They also discuss the importance of building a foundation layer for AI in government services. The conversation concludes with a discussion on the benefits of Estonia's e-residency program for startups.
Key Takeaways
- Negotiations are happening everywhere in life, from personal relationships to business deals.
- AI can assist in negotiations by understanding potential terms, their value, and making trade-offs.
- The future of negotiations involves both parties using AI agents to engage in continuous negotiations.
- Transparency in AI decisions is important, and interfaces need to be developed to provide clarity and control.
- Entrepreneurship and participating in an Ironman race require mental resilience, quick decision-making, and the ability to prioritize tasks.
- In startups, it's important to postpone decisions that can be made later to gather more information and make smarter choices. Government contracts offer long-term and substantial opportunities for AI implementation.
- AI negotiations can lead to competitive advantages and market dominance.
- Regulations play a crucial role in ensuring transparency and accountability in AI negotiations.
- The four-level negotiation intelligence framework categorizes AI negotiation use cases based on complexity and impact.
Transcript
- Alp Uguray0:10
Hi everyone, welcome to Masters of Automation. Today I have the pleasure of hosting Casper from PaKtom. Casper, thanks for joining.
- Kaspar0:20
Hi, nice to be here.
- Alp Uguray0:22
So first of all, thanks to Jake for helping me organize this episode. I wanted to go right into it. mean, you have a stellar career for starting the e -residency program in Estonia and now Pactum and you just closed your founding round and really revolutionizing the negotiations with AI. So I have some questions there. But before we dive into all that stuff, What was Casper like before everything began?
- Kaspar0:57
That's it. I guess I'm the same person still, just living in countryside, in nature, with family. Fishing, just came from Lapland, fishing trip with my brother. Four days of heavy fishing. I don't know which was more difficult, being four days with my brother or four days of fishing, but exhausted today. and always having in mind kind of realized that the university or something that, we can shape the world around us as we want to, that the world around us is being built by someone not smarter than we are, it's quite hectic and random, so we can just imagine where and how it could be and then just try to change it. And quite often, if you're persistent, it may work.
- Alp Uguray1:53
Yeah, and I think the, especially before, for example, you got started with the residency program, what were you up to? Like you were in school and then you were like thinking about a way that we need to change things here. What was your trigger?
Founder, Alp UgurayAlp Uguray is a technologist, operator, and founder of Masters of Automation, with experience across GTM at OpenAI, Solution Engineering at Snowflake, and the UiPath ecosystem as a five-time Most Valuable Professional. His work spans product, architecture, startups, and enterprise AI transformation.
https://themasters.ai