Secure, policy-based recording solves a compliance problem. But according to Guy Yaffe, VP of Interaction Recordings at AudioCodes, it also creates an asset most organisations are barely using: years of conversation data sitting in storage, waiting to be searched, analysed and acted on.
Getting that recording in place already meant capturing more than most regulations strictly demand, video, screen share, mobile, every channel a customer-facing employee touches, retained for years. What's changing is what organisations do with that archive next. It stops being purely a defensive asset kept in case a regulator comes asking, and starts being data with real commercial value, not just in formal contact centres but across Teams call queues and customer-facing teams throughout the business. None of that works, though, unless the recording underneath is something the organisation can actually trust.
What Has To Be In Place First
Getting from recording to insight isn't a separate technology decision so much as a natural extension of the recording layer itself, provided that layer is built properly. The first requirement, Yaffe says, is that whatever recording service an organisation uses has to be certified for its specific UC platform, Teams-certified for Teams, WebEx-certified for WebEx, regardless of whether the use case is compliance or analytics.
Most of the platforms out there today already have embedded voice analytics capabilities.
That's increasingly the default. Some organisations still run their own dedicated analytics tooling, on-premises or in the cloud, and in those cases they rely on recording vendors for APIs to pull the data out and analyse it elsewhere. But Yaffe says the broader trend is toward all-in-one platforms with analytics built directly into the recording and archiving layer, rather than treating analysis as a bolt-on step.
Where The Value Actually Shows Up
Once that foundation is in place, Yaffe says there's barely a corner of the business that voice analytics can't touch. Quality control, customer satisfaction, dispute resolution and malicious call detection all draw on the same underlying data. So does agent performance, where the value lies less in monitoring and more in the feedback loop it creates.
Learn from the good agents, see what works, train the other agents.
One example Yaffe raises is specific to the Japanese market, where organisations are increasingly focused on protecting employees from harassment by external parties, whether that's customers, partners or other outside contacts. By analysing recorded calls for sentiment and for language patterns that indicate potential harassment, organisations can screen the entire volume of communication automatically, rather than relying on the kind of manual sampling compliance teams have used for years.
This is a huge leap forward that was not possible a few years ago.