AI is overhyped and underutilized. People talk as if it’s a magic button. - Press here to generate leads - Have AI write all your content We’ve seen this done and seen it fail. We’ve seen we need: - The right foundation in place - A Human in the Loop to make it work - Careful review, coaching, and validation But with that, a lot is possible. 𝗪𝗵𝗮𝘁 𝗮𝗿𝗲 𝘁𝗵𝗲 𝗯𝗲𝘀𝘁 𝘂𝘀𝗲 𝗰𝗮𝘀𝗲𝘀 𝗼𝗳 𝗔𝗜 𝗶𝗻 𝗕𝟮𝗕 𝗦𝗮𝗮𝗦 𝗚𝗧𝗠? Here are some I see today: 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 - Help draft content - Research accounts and contacts - Write highly personalized outbound emails - Score/prioritize leads based on intent + fit - Aggregate data to identify whole accounts to prioritize 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 & 𝗖𝗹𝗼𝘀𝗶𝗻𝗴 - Summarize call transcripts & flag risks - Suggest next steps based on historic patterns - Auto-update certain opportunity fields in the CRM - Draft follow-ups, recap emails, help prep for sales calls 𝗥𝗲𝘁𝗲𝗻𝘁𝗶𝗼𝗻 & 𝗘𝘅𝗽𝗮𝗻𝘀𝗶𝗼𝗻 - Analyze product usage - Review customer interactions - Identify healthy and at-risk accounts - Draft proactive CS outreach messages - Help prepare QBRs, Account reviews, etc - Surface expansion opportunities to CSMs/AMs There’s no easy button though. All of these require the right foundation and a LOT of hard work to make them a success. What are you seeing working in your company? What foundation did you need in place to make it work? 🤔 I’ll go a lot deeper on this in tomorrow’s 📰 𝙍𝙚𝙫𝙊𝙥𝙨 𝙒𝙚𝙚𝙠𝙡𝙮 📰 Subscribe to get it here: https://bit.ly/49RCm0h ✌️

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