In 2024’s Buyer Success Management Examine, 87% of individuals mentioned their groups use or have fast plans to undertake AI. Nonetheless, solely 21% mentioned they’ve purpose-built AI merchandise of their CS tech stacks.
Optimistically, we are able to infer a wholesome image of experimentation and pilot tasks with AI level merchandise. It is sensible to attempt level options, particularly in case your CS crew remains to be determining different issues like your renewal course of and performs, or your adoption methodology.
The problem over time is that AI level options, identical to different level options, result in completely different individuals doing various things. Your CSMs’ AI prompts on how one can have interaction a buyer, or their descriptions of wholesome versus unhealthy, are completely different. Sooner or later, you get up and every thing and everyone seems to be a bit out of sync.
At this level, it’s time to combine your processes (whether or not AI or non-AI) to realize standardization and repeatability. It’s time to consider a buyer platform to centralize AI.
To unlock the actual worth of AI, every thing must work collectively.
Arguably, level merchandise can obtain every level process higher as a result of they concentrate on that precise factor. But, with AI, making issues work collectively is the place the actual worth is.
An analogy: constructing a automotive. You’ll be able to store for the most effective elements individually—the tires, the headlights, the audio system, the seats. However can you set them collectively successfully? Will they really carry out that properly collectively? Chances are high, regardless of the components, you received’t get the simplest automobile.
Level merchandise aren’t designed to get a complete enterprise on the identical recreation plan. If one level is overly essential to you and it is advisable specialize, maintain it. However while you’re shopping for AI for automation, summarization, well being scoring, predictive evaluation, and extra, it’s onerous to tug collectively many level options with no full-time ops or engineering crew.
You inform your AI level product to jot down a renewal e mail, and it writes an ideal “Hey, it’s renewal time” draft. However it doesn’t know that it is a wholesome buyer whom you propose to upsell subsequent quarter. With out these information insights to layer your immediate onto, your AI can’t be actually efficient, and you find yourself with fragmented workflows and missed alternatives.
Why AI issues for buyer groups: Might you ship a 30-50% productiveness improve?.
When must you centralize your buyer crew’s AI instruments, and the way?
If you already know individuals are utilizing AI however don’t know the way they’re utilizing it, it’s time to centralize your buyer crew’s AI by means of a CSP like ChurnZero. When you have an uneven distribution of AI use, the place your tinkerers are doing attention-grabbing, efficient issues for themselves and others, however nothing is standardized and scalable, that’s an indication.
If adoption ranges are extra uniform, however half are utilizing ChatGPT, one-third are utilizing Gemini and the others are utilizing Meta, or Claude, try to be a bit of fearful, as a result of that’s the place you additionally run into compliance points with buyer information.
Compliance isn’t simply a difficulty for big firms. Even in case you’re small, clients would require you to be super-careful with their information.
Once you centralize your AI, you may get a transparent reply from a single platform vendor about how they do it—for instance, ChurnZero requires that our AI distributors don’t use buyer information to coach their fashions. And, assuming your CSP’s AI is efficient, the probability of your crew members utilizing their very own AI options decreases from there.

Get extra actionable recommendation on constructing and scaling AI use instances in ChurnZero’s new AI information for buyer groups.
How do you select the suitable AI-powered buyer platform?
You continue to should do the work to uncover whether or not a CSP has truly invested in AI or is simply advertising and marketing it. Integrations with completely different AI instruments are actually essential. However quickly, each software program may have AI, so take a look at how superior the CSP’s AI capabilities are.
“Helper” options the place you ask questions are entry-level. The CSP needs to be doing issues for you: writing emails, summarizing account histories—issues which are actionable. Quickly, AI will change into a background characteristic in playbooks, including layers of personalization primarily based on information within the CSP.
So, as a purchaser, it is advisable look previous the advertising and marketing checks and look at what AI options they’ve shipped, how built-in they’re, and whether or not they’re in the suitable locations.
You Mon Tsang is the CEO and co-founder of ChurnZero. To study extra from You Mon about AI for buyer groups, begin right here.