Notes on CX, AI,
and the conversation.

Weekly writing from the Omind team on how contact centers, BPOs, and enterprise CX teams are using AI to move the metrics that matter — compliance, CSAT, resolution, revenue. No hot takes. No hype. Just what we see working in live deployments.

Browse

For decades, the familiar phrase, “This call may be monitored for quality assurance,” has been the anthem of customer service. It conjures an image of supervisors with headsets, randomly listening
For years, quality assurance in the contact center has revolved around checklists, manual audits, and random call sampling. Supervisors listen to a handful of interactions—usually just 1–5%—and score them against
In today’s hyper-competitive landscape, quality isn’t a differentiator—it’s the entry fee. Yet, countless organizations still manage their most critical processes through spreadsheets, email chains, and disjointed checklists. This patchwork approach
For years, quality management in call centers has carried a bad reputation. Ask any frontline agent, and you’ll hear the same story: supervisors with headsets, listening in to calls, ready
For many organizations, call center quality assurance programs still look a lot like they did twenty years ago: supervisors in headsets, randomly sampling calls, ticking boxes on a scorecard, and
In the world of customer experience, your call center isn’t just a support function—it’s your brand’s heartbeat. Every conversation shapes perception, loyalty, and ultimately, revenue. That’s why quality monitoring in
For decades, the rhythm of call center Quality Assurance (QA) has followed the same outdated beat: a few evaluators, a handful of calls, and a scorecard. That small sample—typically just
Every call center leader knows the sinking feeling when a routine call spirals into a heated exchange. Agents struggle, customers get frustrated, and by the time supervisors hear about it,
For years, businesses have leaned on clunky IVRs and outdated assumptions about voice AI. The result? Frustrated customers, low first-contact resolution, and a lingering fear among leaders that “bots aren’t
For years, BPOs have relied on manual audits as the backbone of their quality assurance (QA) operations. A few auditors listening to a handful of calls, ticking boxes, and delivering
Healthcare organizations operate in one of the most regulated industries in the world. Every patient interaction—whether over the phone, via chat, or through email—carries the potential for a compliance breach.
For decades, the contact center quality assurance (QA) process has remained largely unchanged. A dedicated team of auditors manually listens to a small fraction of calls, scores them against a