Innova�on and revenue growth will be a focus for future AI implementa�ons. The study found that over two-thirds of respondents consider their AI ini�a�ves as being more on the innova�on side of the spectrum, and nearly half say they’re focusing heavily on innova�on and revenue growth. 69% are more focused on using AI to spur innova�on and increase revenue than on lowering costs and op�mizing opera�ons Q. On a scale of 1 to 10 — where 1 is solely focused on using AI to improve quality and 10 is solely focused on using AI to enhance productivity — where would your company's current approach toward AI fall? Enabling higher produc�vity with AI will also remain a business impera�ve. Nearly three-quarters of survey respondents said that enhancing produc�vity was a leading mo�vator on where they were currently focusing their AI implementa�on efforts. Deploying AI to enhance the speed and volume of output is among AI’s most frequent applica�ons today. 72% are currently more focused on using AI to enhance produc�vity than on improving quality Q. On a scale of 1 to 10 — where 1 is solely focused on using AI to improve quality and 10 is solely focused on using AI to enhance productivity — where would your company's current approach toward AI fall? AI AT WORK Customer support produc�vity Today’s customer service agents who are handling the more complex issues increasingly have intelligent assistants that can quickly provide answers and informa�on relevant to the customer and context of a par�cular situa�on to decrease call �mes and handle more customers in a more personalized, proac�ve way. TCS AI for Business Study Key Findings Report 31