The hard part is not analyzing the calls. It is choosing what to buy.
You already know your team reviews about 2% of calls by hand. You know the compliance risks, the coaching moments, and the churn signals in the other 98% are going unread. That part is not in dispute, and every vendor in this category will tell you the same thing before quoting you a subscription.
The decision that actually costs money is the next one. Which platform, at what depth of lock-in, on whose model, with your customer audio going where. What to build instead, and what is genuinely not worth building. Which parts of your existing stack already do this and are switched off. Get that wrong and you are three years into a contract that priced itself against your call volume.
I have no stake in the answer. I am a CTO who shipped conversation analysis into production, and I hold patents in applying AI to the physical world. I do not resell any of these platforms and I am not going to implement one for you. That is exactly why I am useful in the room for a day.
This is a teardown, not a lecture. I get your sales, CS, and operations leaders around one table and we work through your actual call flows, your actual vendor shortlist, and your actual constraints. Your team leaves able to:
- Judge a QA platform on the three things that decide the contract, rather than on the demo.
- Tell which parts of full-coverage analysis to buy and which to build.
- Extract revenue-saving intelligence from raw conversations without a machine learning team.
Full coverage is table stakes now. The advantage is in choosing well, deploying it without stalling, and freeing your people for the work that needs a human. That only happens when leadership agrees on the decision before the procurement cycle starts.
