Infosys Report: Only 2% Enterprises Meet Responsible AI Gold Standards as Agentic AI Risks Rise

Infosys Report Highlights Responsible AI Gap in the Agentic Era

Bengaluru, August 14, 2025 – Infosys Knowledge Institute (IKI), the research arm of Infosys (NSE, BSE, NYSE: INFY), has released a new report highlighting the widening gap between agentic AI adoption and responsible AI (RAI) readiness.


🔑 Key Findings from the Infosys Report

  • 95% of executives reported AI-related incidents in the last two years.
  • 86% believe agentic AI will introduce new risks and compliance issues.
  • Only 2% of enterprises qualify as “RAI Leaders” under Infosys’ RAISE BAR benchmark.
  • Organizations with strong RAI controls experienced 39% lower financial losses and fewer reputational damages.

📊 Enterprise AI Readiness

Infosys’ benchmark shows that most organizations lack proper controls around:

  • Ethical AI practices
  • Bias mitigation
  • Privacy safeguards
  • Robust incident response

Only a small group of “RAI Leaders” are achieving better results by embedding explainability, governance, and proactive testing into their AI models.


💡 Expert Insights

Balakrishna D.R., EVP – Global Services Head, AI and Industry Verticals, Infosys, said:

“Delivering value from enterprise AI requires a responsible foundation built on trust, risk mitigation, data governance, and sustainability.”

Jeff Kavanaugh, Head of Infosys Knowledge Institute, added:

“Companies that prioritize robust RAI safeguards will reduce risks while unlocking growth opportunities in the agentic AI era.”


📌 What Enterprises Should Do

Infosys recommends enterprises to:

  • Learn from Responsible AI leaders
  • Blend product innovation with centralized AI governance
  • Embed RAI guardrails into secure AI platforms
  • Establish a centralized RAI office for oversight

👉 Read the full report on the Infosys newsroom


📢 Disclaimer

This IT news update is sourced from the official Infosys newsroom. The content here is for informational purposes only. Infosys should not claim any images or information used in this blog. No affiliation or endorsement is implied. For image credit or content removal, contact support@abhrosh.com.

Sandesh Gowda

Sandesh Gowda

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John Deo

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