Contact center leaders are increasingly getting more comfortable with the idea of AI scoring customer conversations, but the gap between embracing efficiency and risk mitigation is still wide. Some AI QA tools work like a compliance rubber stamp: a number comes out, but the reasoning behind it stays hidden. McKinsey’s 2026 State of AI Trust…

Today, Quality Managers embracing AutoQA find themselves doing a job they didn’t sign up for: becoming an amateur prompt engineer. Whichever AI tool is in front of them – a general-purpose assistant or a platform’s own automation – writing a good scoring prompt takes real technical skill. Testing it, tweaking the wording, testing it again….

Every contact center leader we talk to who’s evaluating a new QA platform eventually asks the same question: how long is this actually going to take to set up? It’s a good question. Building an accurate scorecard from scratch, writing prompts for every line item, testing them against real conversations, and tweaking the wording until…

There’s a question quality teams have been asking for years: ‘Great call, but… was that the right answer they just gave the customer?’ Not whether they were empathetic. Not whether they followed the right structure or hit the right tone. Whether the information they gave was actually correct – based on company policies, products, procedures….

There’s a version of the QA professional’s job that most people in the industry would recognise – and not entirely fondly. The quality police. The person who picks calls, marks scorecards, sends feedback, and repeats. A role defined largely by what it measures rather than what it changes. That version of the job is disappearing,…

In a recent webinar, we asked the room a straightforward question: once your QA scores are in, what’s your biggest challenge? 55% said the same thing: agents not trusting or engaging with the results. That’s a striking number, but it’s only part of the picture. Agent trust is one of several reasons QA programmes stall,…

Most conversations about AutoQA focus on coverage. After all, moving from manually reviewing 3% of interactions to scoring every single one is a significant leap. But coverage is just the starting point. The teams getting the most out of AutoQA aren’t the ones with the highest percentage of scored calls. They’re the ones who walked…

Quality teams have more data than ever, but you’re not alone if you’re struggling to turn that insight into meaningful improvement. You’ve got dashboards showing CSAT trends, compliance scores, handle times, and sentiment breakdowns. You can see when things dip and spot patterns over time. You present findings in meetings and leadership stays informed. But…

“Before evaluagent, we made decisions based on what we thought was happening. Now, we’ve gone from ‘We think’ to ‘We know’.” That’s what one of our customers told us recently. A simple statement that represents a massive shift. Because the truth is, most contact centre decisions are still built on educated guesses. You think customers…

Automated quality scoring should be a win. You get full coverage, consistent evaluation, and the efficiency to actually keep pace with your contact volume. But there’s a problem: people struggle to trust the results. Agents push back on scores they can’t challenge. Leaders won’t act on insights they can’t explain. And QA teams are stuck…