The rise of autonomous, AI-driven agents is reshaping Indian industry by enhancing operational efficiency, prompting new compliance challenges, and demanding scalable infrastructure, with key developments from Deloitte and industry leaders accelerating this transformative shift.
Agentic AI represents a transformative advancement in artificial intelligence, characterised by autonomous, AI-driven digital agents capable of independently executing tasks across diverse workflows without requiring constant human input. Unlike traditional AI systems that rely heavily on pre-programmed rules and human oversight, Agentic AI functions with significant independence, interpreting data, making decisions, and adapting in real-time to changing contexts. This evolution allows organisations to streamline processes, substantially reduce costs, and minimise human labour, enhancing operational efficiency and scalability. According to data from UiPath, around 40% of organisations in India have already embraced Agentic AI, reflecting its rapid integration into business strategies.
These autonomous agents operate with a decision-making capability akin to human intelligence, learning from outcomes and resolving problems with high precision. This shift is reshaping business models, accelerating innovation, and fostering dynamic performance improvements. However, it also introduces new and complex challenges, especially in regulatory compliance and ethical governance. Traditional compliance frameworks were designed around predictable, rule-based systems where decisions and outputs were transparent and easily auditable. In contrast, Agentic AI’s continuous learning and adaptability can obscure the rationale behind decisions, complicating oversight and accountability.
As businesses increasingly deploy Agentic AI, adherence to global data protection standards like the European Union’s GDPR and India’s DPDP Act becomes crucial. These regulations demand transparency, fairness, explainability, and risk mitigation in AI operations, principles that organisations must embed into their AI governance to manage privacy concerns and meet sector-specific compliance requirements. To navigate this intricate landscape, companies are adopting explainable decision-making frameworks that make AI logic understandable, implementing continuous monitoring systems that track behaviour and provide audit trails, and enforcing ethical AI governance to mitigate bias through inclusive data practices and human oversight where necessary.
From a strategic perspective, compliance is increasingly viewed not as a barrier but as a facilitator of growth and trust. The Indian technology solutions provider TECHVED emphasises integrating compliance into the core design and governance of Agentic AI systems to build confidence among regulators, clients, and partners. Their approach includes establishing clear governance structures for traceability, ensuring ongoing accountability through monitoring, maintaining responsible AI frameworks, and transforming organisational processes to support autonomous workflows within compliance boundaries.
The significance of Agentic AI is also underscored by major industry developments. Deloitte has established an Agentic AI Centre of Excellence for the Asia Pacific region, aiming to accelerate adoption through a network of over 6,000 practitioners with support for AI initiatives valued at more than US$1 billion. Additionally, Deloitte India’s strategic partnership with Amazon Web Services focuses on deploying cloud and Agentic AI technologies across key sectors such as financial services, manufacturing, and the public sector, underscoring the growing institutional commitment to this technology.
While enthusiasm for Agentic AI is high, infrastructure readiness remains a critical concern. Cisco’s 2025 AI Readiness Index reveals that leading companies, or ‘Pacesetters,’ which represent a small but growing segment, achieve a 72% higher return on investment by operationalising AI with disciplined strategies and scalable networks. Yet, the report notes that only one in five Indian firms currently possess the network flexibility required for large-scale AI deployment, indicating a gap between ambition and capability.
The rapid adoption of AI more broadly in India, particularly in sectors like retail where 96% of organisations have integrated AI for demand forecasting, inventory management, and customer experience, illustrates the country’s leadership in the AI space. Agentic AI is the next phase of this digital transformation, promising to redefine the operational and strategic landscape for Indian businesses.
Ultimately, the organisations that will thrive in this new era are those that treat responsible AI adoption as central to their business philosophy. Through embedding transparency, accountability, and ethical governance, companies can not only comply with regulatory demands but leverage Agentic AI as a competitive advantage, unlocking efficiencies and fostering sustainable growth in a rapidly evolving technological environment.
📌 Reference Map:
- [1] (DQ India) – Paragraphs 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
- [2] (DQ India) – Paragraph 1, 2
- [3] (DQ India) – Paragraph 7
- [4] (DQ India) – Paragraph 8
- [5] (DQ India) – Paragraph 7
- [7] (DQ India) – Paragraph 9
Source: Noah Wire Services
Noah Fact Check Pro
The draft above was created using the information available at the time the story first
emerged. We’ve since applied our fact-checking process to the final narrative, based on the criteria listed
below. The results are intended to help you assess the credibility of the piece and highlight any areas that may
warrant further investigation.
Freshness check
Score:
10
Notes:
The narrative was published on 25 November 2025, making it highly fresh. No earlier versions with differing figures, dates, or quotes were found. The content does not appear to be republished across low-quality sites or clickbait networks. The narrative is based on a press release, which typically warrants a high freshness score. The article includes updated data and does not recycle older material.
Quotes check
Score:
10
Notes:
The narrative includes direct quotes from Neha Modgil, Co-founder and COO of TECHVED. No identical quotes were found in earlier material, indicating originality. The wording of the quotes matches the narrative exactly, with no variations.
Source reliability
Score:
8
Notes:
The narrative originates from DQ India, a reputable organisation known for its coverage of technology and business news. The report cites data from UiPath, a well-known company in the automation industry, enhancing its credibility. However, the report also references TECHVED, a company without a significant online presence or verifiable records, which raises some uncertainty.
Plausability check
Score:
9
Notes:
The claims about the rapid adoption of Agentic AI in India, with approximately 40% of organisations embracing it, are plausible and align with industry trends. The narrative discusses the challenges of regulatory compliance in the context of autonomous AI systems, which is a current and relevant topic. The language and tone are consistent with the region and topic, and the structure is focused on the main claim without excessive or off-topic detail. The tone is formal and appropriate for a corporate or official report.
Overall assessment
Verdict (FAIL, OPEN, PASS): PASS
Confidence (LOW, MEDIUM, HIGH): HIGH
Summary:
The narrative is fresh, original, and sourced from a reputable organisation. While the mention of TECHVED introduces some uncertainty due to its limited online presence, the overall content is plausible and aligns with current industry trends. The report effectively addresses the complexities of regulatory compliance in the context of Agentic AI, making it a valuable resource.
