Talla Company Blog

Artificial intelligence is powered by well annotated training data, but the data you need to train a customer support assistant includes more information than you might expect. The "tribal knowledge" of your customer support teams is critical to developing a customer service AI agent that can most effectively help your business.

We've all had interactions with clunky or incoherent chatbots that made their owners look dumb, but few companies know what steps to take to ensure their own bots don't make the same mistakes. Before you entrust a chatbot to help with customer service and support, make sure you've given it the tools it needs to avoid embarrassing itself.

Automation is not a necessary evil of scale. It doesn’t signal the end of great human service or the sad inevitability of technology’s takeover. Widespread adoption actually proves the opposite: as customer expectations evolve, innovations improve and agents’ skills expand, affordable, quality service at scale becomes a reality.

A large portion of your customer service team's workload involves documenting problems and their eventual resolutions -- often to the point that the documentation process can impede customer service. New automation tools can now help take the documentation workload off your customer service teams so they can focus on the customer, rather than their real or virtual paperwork.

Customer service teams face a number of all-too-common workflow issues that can impede their ability to actually serve customers, but new automation and artificial intelligence solutions can now help customer service avoid becoming overwhelmed. The first and perhaps most important area that automation can help customer service is in managing call volume.

We’ve written about how AI use is expanding across the enterprise and early-adopters are leaving the competition behind.

We’ve shared how AI is a superpower for customer support execs facing the daunting task of delivering scaled, personal and cost-effective support.

In an advancing digital-first world, customer support’s business imperative is a tough one: deliver customer satisfaction that can scale across thousands or millions of interactions at significantly lower cost. Trying to achieve this with a “business as usual” approach won’t work. But by unleashing AI and automation in their businesses, customer support executives can actually deliver on this.