Agentic AI is no longer a feature on a roadmap. It is now available for generating courses, writing assessments, and tutoring learners. The institutions that will lead this shift are not those that adopt AI the fastest. They are those who ask the harder question first: what is the standard we hold it to?

Acting on that imperative, on 26 May 2026, the Quality Assurance Pillar at Capacity Building Commission (CBC) convened a half-day brainstorming workshop on “Adopting the KQF Attributes in the AI Ecosystem of iGoT”. The session brought together senior leadership from the Capacity Building Commission, Karmayogi Bharat, Industry Partners (who were involved in the development of the Karmayogi Quality Framework (KQF) and other relevant members from
CBC.

The deliberation focused on three foundational challenges:

(i) how to build work-contextualised course designs through AI,
(ii) how to ensure quality standards govern the entire lifecycle of courses, and
(iii) How to govern quality at scale through agentic AI.

The digital learning ecosystem for public officials in India operates at a scale and with a purpose where the quality of learning is not incidental; it is consequential. The rigour we bring to governing it matters in ways that reach far beyond the screen. 

This session brought together key stakeholders to collaborate on and advance a structured process of attempting to embed the quality standards as recommended by KQF within the iGoT ecosystem.