Many B2B companies failed by launching AI "co-pilots" that were too expensive for the minimal value they provided. The winning strategy, exemplified by Notion, is to create an AI add-on so valuable that users willingly pay a 50-100% premium, which in turn re-accelerates the company's growth.

Bordy offers free AI-powered networking to build a valuable, proprietary dataset of connections. It then monetizes the highest-intent users by charging retainer or contingency fees for recruiting, effectively creating a modern, AI-driven version of LinkedIn's successful business model.

True AI agents take autonomous action. However, connecting a tool like Microsoft Copilot to internal data (e.g., SharePoint) provides "agentic" capabilities. It can independently scan, select, and synthesize relevant resources to create finished deliverables, blurring the line between tool and autonomous assistant.

To overcome the sentiment that AI is just hype, Snowflake's CEO advocates for building and using internal AI agents daily. He personally uses a sales agent on his phone in executive meetings, demonstrating its practical value which drives both internal adoption and external credibility.

When each employee has a personal AI agent, the agents naturally adopt the specializations of their human counterparts. The head of growth's agent becomes the go-to expert on growth metrics, creating a parallel organization of specialized bots that mirrors the human org chart.

Instead of a generalist AI, LinkedIn built a suite of specialized internal agents for tasks like trust reviews, growth analysis, and user research. These agents are trained on LinkedIn's unique historical data and playbooks, providing critiques and insights impossible for external tools.

An app bundling various LLMs into one interface is making $300k/month. Replicate this success by targeting a specific professional niche like lawyers or teachers. Stitch together models and workflows to become the default AI assistant for that vertical.

The current AI hype masks a significant future risk: customers will churn if they don't see ROI beyond simple tasks like summarizing emails. For channel partners, ensuring deep user adoption of tools like Copilot is not just a value-add, but a critical defense against future revenue loss.

Before investing in new third-party AI tools, organizations should maximize their existing Microsoft stack. Using Copilot reduces software bloat, protects intellectual property by keeping data in-house, and leverages the integrated nature of Microsoft 365 for tasks like call analysis from Teams recordings.