"How are we using AI internally?"
The drumbeat is real. Boards are leaning in. Investors are leaning in. Yet, too many leaders hardly use it. Most CS teams? Still making excuses.
🤦🏼 "We’re not ready."Translation: We don't know where to start, so I'm waiting to run into someone who has done something with it.
🤦🏼 "We need cleaner data."Translation: We’re still hoping bad inputs from fractured processes will magically produce good outputs. Everyone's data is a sh*tshow. Trust me. 🤹🏼♂️ "We're playing with it."Translation: We have that one person messing with ChatGPT - experimenting.
😕 "Just don't have the resources right now."Translation: We're too overwhelmed manually building reports, wrangling renewals, and answering tickets forwarded by the support teams.
🫃🏼 "We've got too many tools."Translation: We’re overwhelmed by the tools we bought that created a bunch of silos and forced us into constant app-switching.
🤓 "Our IT team won't let us use AI."Translation: We’ve outsourced innovation to a risk-averse inbox.
It's time to put some cowboy under that hat 🤠 . No one’s asking you to rebuild the data warehouse or perform some sacred data ritual. You don’t need a PhD in AI.
You can start small.
Nearly every AI vendor has a way for you to try their wares without hiring a team of talking heads to perform unworldly 🧙🏼 acts of digital transformation.
Where to start.
✔️ Pick a use case that will give you a revenue boost or reveal something you didn't know about your customers.
✔️ Choose something that directs valuable work to the valuable people you've hired.
✔️ Pick something with outcomes that other teams can use.
Pro Tip: Your CEO doesn't care about chatbots, knowledgebase articles, or things that write emails to customers.
What do you have to lose? More customers? Your seat at the table?