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HomeAI in IndustriesNAAC Introduces AI-Powered University Accreditation Targeting 90% Coverage by 2030

NAAC Introduces AI-Powered University Accreditation Targeting 90% Coverage by 2030

Quick Take

  • NAAC introduces AI-powered university accreditation: starting August 2025, replacing 30-year-old system
  • Current accreditation rates: Only 40% of universities and 18% of colleges hold NAAC accreditation
  • New binary system: Eliminates traditional seven-point grading for faster processing
  • Physical peer reviews removed: For basic accreditation, reducing delays and manipulation
  • Target: Over 90% institutional participation within five years

The National Assessment and Accreditation Council (NAAC) is set to deploy artificial intelligence to dramatically accelerate NAAC accreditation from 40% to 90% coverage, according to India Today. The move represents the higher education sector’s most significant digital transformation in three decades.

The council is scrapping its complex seven-point grading system in favor of a streamlined binary approach. Universities will now receive either “Accredited” or “Not Accredited” status, doing away with the A, A+, A++ hierarchy that previously categorized institutions.

Professor Anil Sahasrabudhe, NAAC Chairperson, has set ambitious targets for expansion. The goal is to increase university participation from the current 40% to over 90% within five years. Meanwhile, college participation needs to jump from just 18% to majority coverage.

“Our goal is to encourage institutions to participate and strive for higher standards voluntarily,” Sahasrabudhe said, emphasizing the voluntary nature of the new accreditation process.

Digital Verification Replaces Physical Site Visits

The reformed system eliminates physical peer reviews that previously made up 30% of traditional assessments. These visits often caused delays and raised credibility concerns about potential manipulation during on-site evaluations.

Digital verification through AI databases will replace manual inspection processes. A rotating panel of 100 stakeholders – including vice-chancellors, faculty, NGO representatives, and industry experts – will review digital submissions and create credibility scores between 0 and 1.

Each institution starts with a base score of 0.5. Document accuracy adjustments modify this baseline, while false submissions trigger penalties. Confirmed misconduct results in three-year bans from university accreditation processes.

Two-Tier Framework Creates Growth Pathways

The restructured framework offers two distinct tracks. Basic accreditation serves all institutions seeking fundamental recognition. Maturity-based graded accreditation provides advanced recognition for institutions pursuing higher standards.

Institutions holding existing A, A+, or A++ grades can choose their preferred pathway – either basic accreditation or direct application to advanced maturity levels.

The maturity system spans five levels with escalating requirements. Level 1 requires 55 indicators, while Level 5 demands 80-100 parameters for comprehensive evaluation. Physical site visits return from Level 3 onwards using hybrid online-onsite formats.

EdTech Market Opportunities Emerge

The transformation creates immediate business opportunities across education technology. Specialized NAAC compliance tools, data verification services, and digital submission platforms become essential infrastructure.

Education technology companies can develop targeted solutions for the AI accreditation system. Data management and verification services gain importance as institutions must maintain digital credibility scores.

Consulting firms focusing on accreditation transition guidance will see increased demand. Training programs for the new system represent valuable service opportunities in the higher education market.

Implementation Timeline and Strategic Implications

The system launches in August 2025, giving institutions limited preparation time. Digital readiness becomes a competitive advantage as the sector transitions from paper-based to AI-driven processes.

The reforms stem from recommendations by a committee led by former ISRO chief Dr K Radhakrishnan, ensuring high-level government backing and sustained policy support.

Institutions should immediately begin organizing digital documentation and establishing data management systems. The voluntary participation model means early adopters gain strategic positioning advantages in the transformed accreditation landscape.

This digital transformation extends beyond technology adoption, signaling India’s commitment to transparent and efficient educational standards that align with global best practices.

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HOWAYS Editorial Team
HOWAYS Editorial Teamhttps://howays.com/
HOWAYS delivers trusted AI business insights across the US, UK, Canada, Australia, India, and globally. Founded by Kumar Krishna (Lead Editor) with Fact-Check Editor Gaurav Jha, our editorial team combines AI research with human expertise to provide accurate, original content for business professionals. Our authors bring verified industry experience and professional qualifications in AI and business reporting.
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