Successful companies are constantly asking questions. Customer support teams are in a tricky situation — they need to optimize costs and still provide the best agent and customer experience. Many businesses use traditional KPIs like average handle time and first call resolution as key metrics. But support leaders wonder if these metrics are really the best path to improved agent performance and increased customer satisfaction. That’s where conversation AI analytics comes in.

For the first time in a long time, the world of tech, business, and media seem to be less focused on the pandemic and more focused on the future.

Artificial intelligence (AI) in customer service isn’t a new concept. Harnessing the true power of AI has been an ongoing conversation in the CX world for years, but it’s a notoriously hard thing to get right. Customer-bot interactions can swing wildly from absolutely incredible to brand-damaging, depending on how AI was implemented and how successfully it learned from prior interactions.

We're now more than a month into 2022, and one thing we can say for sure is that the world hasn't "gone back to normal." For many of us, remote working and online meetings are a fact of life. App and subscription services deliver our music, television, and groceries. Compared to just two years ago, the way we work and live has changed drastically.

Finance teams have emerged as global strategic leaders with the onset of the pandemic. Be it helping businesses transition into new normal or finding new ways to manage remote operations and reduce operating expenses. Finance teams have been in the heart of it all. This begs business owners to ask the question, “Have I done everything in my power to enable my Finance teams to go about their work?“ Keep in mind that almost every function of the Finance team depends on other departments.