Executive Briefing: Where Your AI Money Actually Goes (+ the Token Saver Guide and the 15 Changes I Use)
What I heard at Dreamforce points beyond cheaper agents: different customers, different offers, and a different answer to where a company earns its money.
TL;DR
- AI's transformative potential is questioned when products appear unchanged, leading to uncertainty about business model evolution.
- The cost of understanding customer problems and coordinating responses has historically shaped business decisions, including service tiers and custom responses.
- AI should enable customers to buy something different, achieving results at new price points or with enhanced attention.
- Conversations about AI should extend beyond agent management to fundamental business strategy, including customer service, offers, and value capture.
- Understanding where AI costs are visible versus hidden is crucial for accurate comparisons and strategic decision-making.
- The business built around expensive human attention is being challenged by AI, potentially democratizing access to knowledge and service.
- AI-driven efficiency gains can be captured by competitors, leading to better offers and shifting market dynamics.
- Implementing new AI-driven offers requires a focus on customer-promised evaluations and addressing organizational challenges.