In the last 12 months, questions around AI adoption in the contact center have changed from if to when to “why haven’t we done this yet?!” But part of the obstacle to incorporating AI into your strategy is the total lack of transparency. When every tech company is claiming to solve all problems, it’s difficult to separate hype from actual value.
This panel brings together two experts who have successfully led AI adoption use cases in the contact center. Paula Kennedy, a thought leader in customer experience innovation who has held key strategic roles at IntouchCX, Concentrix, Sitel Group, TeleTech, and HCL BPO; and Etie Hertz, CEO of Loris, an AI startup using conversational intelligence to improve everything from customer insight to agent performance to quality assurance.
After this discussion, you’ll walk away with:
- The ability to prioritize AI adoption projects with a plan for success
- Clarity on necessary steps and missteps to avoid
- Ways to measure the value of AI adoption while also mitigating risks
What to look for in a Conversational Intelligence Platform
There are more options for customers to get in touch with you than ever. And, the sheer volume of customer inquiries makes managing and understanding those conversations across all those different channels not even difficult – it’s literally impossible. But conversational intelligence platforms provide a solution: the ability to
There is no reason not to use conversation summarization in customer service
Conversation summarization is the ability for a technology, now typically artificial intelligence (AI), to process vast amounts of textual or spoken data from interpersonal communications—such as meetings, phone calls, live chats, or email exchanges—and provide a brief summary that captures the main intents, issues…
The Top Customer Service Quality Assurance Tools You Need In 2024
You have a quality assurance (QA) process for your customer service team, but is it good enough?
Are you:
👉 Struggling to get an overview of agent performance and overall customer experience (CX) quality?
👉 Unable to identify your most common customer service con, despite sifting through tons of customer interactions?
👉 Not providing your customer service agents with the timely feedback they need to improve your customer experience (CX)?
👉 Struggling to scale your current QA process as your number of agents increases?
