HomeTechnology & InnovationHow much money can conversational AI save companies by 2026?
By Economy Middle East
September 1, 2022 1:08 pm

How much money can conversational AI save companies by 2026?

Worldwide spending on AI solutions could reach $1.99 bln in 2022
Woman standing in front of a robot

Conversational artificial intelligence (AI) deployments in contact centers will save $80 billion in agent labor costs by 2026, according to management consulting company Gartner. In 2022, global end-user spending on conversational AI solutions in contact centers is expected to reach $1.99 billion.

“Gartner estimates that there are approximately 17 million contact center agents worldwide today,” said Daniel O’Connell, VP analyst at Gartner. “Many organizations are challenged by agent staff shortages and the need to curtail labor expenses, which can represent up to 95 percent of contact center costs. Conversational AI makes agents more efficient and effective, while also improving the customer experience.”

Gartner projects that one in 10 agent interactions will be automated by 2026, an increase from an estimated 1.6 percent of interactions today that are automated using AI. Conversational AI can automate all or part of a contact center customer interaction through both voice and digital channels, through voice bots or chatbots, and it is expected to have transformational benefits to customer service and support organizations within two years.

“While automating a full interaction – also known as call containment or deflection – corresponds to significant cost savings, there is also value in partial containment, such as automating the identification of a customer’s name, policy number, and reason for calling. Capturing this information using AI could reduce up to a third of the interaction time that would typically be supported by a human agent,” said O’Connell.

While the benefits of conversational AI are compelling, the technology is still maturing. A fragmented vendor landscape and complexity of deployments will result in measured adoption over the next two years.

“Implementing conversational AI requires expensive professional resources in areas such as data analytics, knowledge graphs, and natural language understanding,” said O’Connell. “Once built, the conversational AI capabilities must be continuously supported, updated, and maintained, resulting in additional costs.”

Complex, large-scale conversational AI deployments can take multiple years as more call flows are built out and existing call flows are fine-tuned for improvement. Gartner estimates integration pricing at $1,000 to $1,500 per conversational AI agent, though some organizations cite costs of up to $2,000 per agent. Therefore, the early adoption of conversational AI will be primarily led by organizations with 2,500 or more agents with a budget for the requisite technical resources.