My world is completely disrupted by AI agents, and I assume yours is too. We built agents covering dozens of use cases at Chili Piper. Inclusion of buying committees, account scoring, and dozens of other practical examples are shared below.
I hope that by sharing our AI agents' examples, we will learn from all of you how we can get even better (and hopefully inspire your own creations as well). This is a collaborative article built in Notion - if you have thoughts/ideas/questions you can comment on it and I will respond!
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Before you proceed, here are two essential notes on why we can build all these agents internally :
‼️ We have an intentional internal process that allows and encourages everyone to build agents. See more below
📀 We can build agents because all our data is in one place, account-based see more below
I have seen hundreds of projects built by our team to date. They cover various departments, but since this content piece focuses on GTM (Go-To-Market), here are some samples from our AI agents for marketing and sales:
Before you proceed, please note that our organization has a very complex sales cycle. We sell both to enterprises and one-person shops. We also have 5 SKUs (aka 5 products). We also sell to multiple ICPs (aka ideal customer profiles). As an SDR or an AE/AM at Chili Piper, you must know your stuff well to succeed. Hence, AI agents' help is essential.
All these buckets below cover multiple ICPs, multiple products, multiple industries, and sizes: