Article originally published on LinkedIn Pulse.
We’ve been spending more time lately working with sales teams that are using AI recording and analytics tools.
Call center platforms. In-person conversation tracking. AI-driven scoring.
There’s real potential here.
For the first time, companies can truly understand how their teams are selling, not based on assumptions, but based on actual conversations. And just as important, they can hear and quickly analyze how customers are reacting in those moments.
That combination is powerful.
But as we’ve gotten closer to these tools, we’re starting to see some early warning signs. It isn’t about whether the tools have the capabilities, but because many organizations aren’t clear on how to use it properly
If you don’t get that part right, these tools don’t create clarity, they create confusion.
Here are three key pieces that we are telling companies to have in place to make sure their tech investment pays off:
1. Define what “good” actually sounds like
The biggest gap we’re seeing is simple:
Most companies don’t have a clearly defined standard for what a quality sales conversation should look like. So, when they turn on an AI tool, they’re relying on the platform to define that standard for them.
In some cases, companies load their sales process into the tool and measure how well teams are executing against it which is the ideal scenario.
But more often, the tool is evaluating conversations based on general sales behaviors. Things like pacing, talk time, or question count. That’s not inherently bad, but it’s not necessarily making your team better.
The best results will come when the tool is reinforcing what your sales team has been taught already. Sales reps should not be trying to decode why the AI tool is giving them a certain score, they should be laser focused on the 1-2 things they can improve immediately to improve their customer conversations.
2. Don’t outsource your coaching model to the platform
One of the more concerning patterns we’ve seen is leadership teams that can’t fully explain how their teams are being scored. The tool says a conversation was “good” or “bad,” but no one can clearly connect that back to the behaviors they actually want to reinforce.
Recently, we saw this with a team where reps handled conversations very differently, but received nearly identical scores every time.
This is where the human input is needed. Sales managers need to remain the more influential source of feedback to their reps. That means looking at the data, following the patterns, and turning it into productive conversations with the salesperson.
These tools have tremendous potential to make coaching more efficient and more effective. But letting the tool handle coaching altogether will fail to deliver the behavior change companies have been promised.
3. Be Willing to Make Adjustments
One of the most exciting opportunities with these tools is their ability to surface patterns. They can highlight phrases that resonate or questions that unlock better conversations or even approaches that drive stronger customer reactions.
Leaders need to be monitoring this feedback and evaluating if the current process they have in place is still relevant. Good sales processes are not rigid, they are frameworks that can evolve and customer habits shift.
However, the AI should not be making those decisions for you. The tool can surface input and suggestions but should not be changing its evaluation without sales leaders choosing the direction. They should be working with their AI providers to refine how conversations are evaluated. They’re reviewing outputs regularly. And when they do make changes to their sales approach, they make sure those updates are clearly communicated and reinforced by leadership.
Because the moment the tool starts suggesting behaviors that your leaders aren’t aware of, you create a disconnect.
And in sales, inconsistency is where performance breaks down.
Final Thought
Sales AI tools are a lot like a CRM. If you don’t put the right inputs in, you won’t get meaningful outputs.
These platforms can absolutely help teams improve how they sell and how they engage customer, but only if they’re grounded in a clear standard with active leadership
And only if the organization treats the tool as a way to sharpen its strategy, not define it.
The real opportunity here isn’t just better data. It’s better conversations.
Make sure your tools are helping you get closer to delivering the perfect buyer experience, not quietly pulling you in a different direction.
