CAG developing institutional capacity for new age needs

The Competition Commission of India (CCI) is building institutional capacity to better understand digital markets and the evolving role of artificial intelligence, Chairperson Ravneet Kaur said Wednesday. She said the regulatory body needs to expand its competencies by bringing in data scientists, and analysts that understand what goes on behind AI applications.

“While I have a team which is looking at the law, and economic analysis, we also need to build insights when it comes to understanding the AI tools and the way digital markets are functioning,” she said at the 17th annual day of CCI, adding the need is for bringing in people with skills across forensic audit and technological understanding.

The regulator is also increasing the number of approvals under automated route for ‘non-problematic’ transactions. “In today’s date, green channel constitutes more than 20% (approvals). We have done 143 deemed approvals,” Kaur said.


Delivering his address, Comptroller and Auditor General of India (CAG), K Sanjay Murthy said the role of the CCI will evolve become foundational for economic governance.

“We are working towards strengthening the public procurement system by better decision making,” Murthy said, adding the CAG’s responsibilities have also shifted to provide deep insights into the efficiency and effectiveness of national programmes. The auditor is developing a sovereign Large Language Model (LLM), and AI platform for use in public sector auditing work.

Earlier this month, the CAG office issued an expression of interest to establish a Sovereign AI and Data Platform with Agentic AI Applications. This is meant to serve as the central digital backbone for all present and future AI and analytics workloads.


This platform is intended to consolidate infrastructure, data, and AI services under a single governed environment - eliminating fragmentation, enforcing institutional ownership of data and models, and enabling rapid deployment of new intelligent applications without repeated ground-up investment.