The conversation around AI and customer experience has a noise problem. Vendors promise transformation. Analysts debate timelines. Meanwhile, CX executives are sitting across the table from a practical question: what does AI actually do for my contact center, and how do I know if I’m implementing it well?
Let’s explore some of the most critical areas where AI can make a big difference for your customers – along with your personnel – and how you can check whether providers can walk the walk as well as they talk the talk.
How Does Real-Time Agent Assist Actually Reduce Handle Time?
27% average handle time (AHT) reduction, with real-time agent assist. By transcribing speech, offering knowledge and action prompts, analyzing sentiment, and constantly updating customer and interaction history, AI helps agents resolve customer concerns more quickly and smoothly. This means that the current customer gets a resolution sooner, while other customers undergo less waiting time, improving CX overall for everyone.
To achieve that reduction, AI must be able to correctly, dynamically identify and interpret customer intent, as well as rapidly provide relevant information. Ask your provider to demonstrate their capabilities in terms of intent detection and latency.
35% decrease in after-call work (ACW) time, with post-call summarization and other task automation. Liberating human agents from the chore of producing a post-call summary – after every single call – not only gives agents more time to assist more customers, it also ensures greater consistency for record-keeping, repeat-contact handling, and coaching, so employees perform better, and customers are served better.
What’s important to look at here is response compliance – can AI accomplish the ACW not only accurately, but in keeping with the goals and protocols the company has set? As with all AI evalutions, ask to see a live demo, not just their best-case scenario showpiece.
Up to 80% autonomous issue resolution, with an under-1% abandonment rate. In all honesty, this specific figure has been recorded in the case of exactly one company, so it’s quite blue-sky – but it has been done, which means it can be done. Despite persistent public wariness toward AI, studies show that 4 out of 5 consumers do prefer automated CX for simple issues, so this is simply not a capability that organizations can afford to forego.
It is crucial to examine AI escalation flows. Make sure that when your provider talks about ‘containment’, they don’t really mean ‘deflection’ – i.e., confining queries to AI at all costs. Your customers should have the option to switch to a human agent, any time they want to.
An important thing to bear in mind – even without, but especially with AI – is that great CX isn’t really about speed. From the organizational perspective, speed tends to be one of the primary things we evaluate, because it’s easy to measure, and when we can zip through customer interactions quicker, then it feels like we’re doing more and better.
But what customers most want – as many studies have told us, many times – is to be understood. And these days, whether your company can do that isn’t a matter of how much AI is in your CX, but how well your CX is using AI.
Partner with Inspiro to Bring AI-Driven CX to Life
Inspiro combines over 20 years of CX expertise with Inspiro iX, an integrated AI suite that unifies generative automation, advanced analytics, and agent-assist tools across every stage of the customer lifecycle.
From real-time agent assist to post-call summarization and autonomous resolution, Inspiro implements AI where it creates measurable impact, backed by Lean Six Sigma methodology, a global network of 58,000 CX champions across 100 strategic locations, and delivery operations spanning North America, Latin America, Australia, and the Asia Pacific.
If you’re evaluating CX partners who can close the gap between AI potential and operational reality, the conversation starts here. Contact Inspiro to explore what AI-driven CX looks like for your organization.
