A technology and marketing services company is accomplishing substantially more work without increasing its workforce, as artificial intelligence enhances efficiency in software development and daily operations, according to a senior executive.
Epsilon, which operates as the tech division of Publicis Groupe, has maintained roughly the same number of employees while dramatically increasing output through AI implementation, the company’s India managing director Pratik Nath announced on Friday.
International corporations have been building offshore technology centers in India to handle software development, financial operations, cybersecurity, and research functions. These companies are now turning to AI to stay competitive as the technology reshapes business operations worldwide.
The India division of Epsilon, which has approximately 3,000 workers in the Bengaluru technology center, has experienced a merging of boundaries between software creation, engineering, and operations, leading to faster code production.
“What has changed is the amount of work that we are delivering, the new responsibilities that we have picked up,” Nath told Reuters.
“We are able to do significantly more with the same set of people that we have because of the power that AI brings in.”
Although it remains “a little early” to determine if AI-enhanced productivity has cleared project backlogs, the organization is witnessing more proactive teamwork and better prioritization of projects based on business importance, Nath explained.
The executive also noted that AI has shortened the time needed to handle technical support requests and accelerated the deployment of customer loyalty programs through automated service platforms.
The solid infrastructure that international centers have established over time will continue supporting increased intellectual property development and patent applications within the country, the executive noted.
“Companies are not coming and establishing GCCs for cost arbitrage anymore, they are coming for more outcomes and value,” Nath said.
“The now-to-next could be a choke point for some if they are not leading (in AI adoption), it could be an inflection point for others who are leading it.”
