“Every prospectus ends with a quiet disclaimer from SEBI—it checks if disclosures are complete, not if they’re entirely true. But as AI enters the scene, it opens up a bold possibility: can technology help us do both, and do it faster than ever before?’
The Draft Red Herring Prospectus (DRHP) is the lifeblood of any IPO. A 400+ page document detailing a company’s financials, business risks, promoter background, litigation, and future plans. For investors, it’s a window into the company. For SEBI and stock exchanges, it’s a regulatory maze that must be navigated carefully to ensure no material misstatement goes unnoticed.
Enter AI: BSE’s Bold Move
In June 2025, the BSE quietly rolled out an AI-driven DRHP screening system for its SME IPO platform[1]. To initiate the AI-driven pre-check, merchant bankers are first required to create an account with the Exchange and obtain secure access to a designated SFTP (Secure File Transfer Protocol) folder. Once access is granted, they can upload the draft offer document (DRHP) directly to this secure environment. Upon upload, the Exchange’s AI system is triggered to begin its analysis. The tool reviews the document and generates a downloadable report highlighting sections that may need revision. This allows merchant bankers to refine the draft proactively before formally filing it with the Exchange. It’s important to note that this AI-based pre-check is purely advisory in nature; the Exchange still undertakes a full, manual review of the DRHP once it is officially submitted. Instead of waiting for formal observations after filing, merchant bankers now have the opportunity to fine-tune the document in advance, making the final submission smoother, quicker, and more aligned with regulatory expectations.
The Bigger Picture: SEBI’s AI Roadmap
BSE isn’t alone. SEBI, too, has been experimenting with AI in IPO document reviews. At the Securing Financial Stability Amid Global Spillovers event on February 16, 2024 SEBI Whole-Time Member Ananth Narayan Said[2], Securities and Exchange Board of India has started using artificial intelligence (AI) for the first level of scrutiny of draft red herring prospectuses (DRHPs). The regulator has piloted ChatGPT-like tools to perform first-level parsing of DRHPs, helping its officers focus on deeper, more nuanced analysis. It’s also pushing for standardized, template-based DRHP formats, where key data fields can be auto-validated using machine logic.
This transformation is not just about speed. It’s about structural change moving from a world of narrative-heavy, loosely formatted disclosures to a regime of clean, comparable, machine-readable filings.
And SEBI isn’t stopping there.
Audio, Video & QR Codes: The DRHP Goes Multimedia[3]
In a move to democratize IPO access for retail investors, SEBI is now mandating audio-visual summaries of DRHPs short 5–8-minute explainers in English and Hindi, highlighting the risks, objects of issue, and business model. These will be hosted online and accessible via QR codes, making the document less intimidating and more digestible.
Imagine scanning a QR code on your phone and getting a crisp voiceover summary of the IPO you’re considering powered by AI, verified by humans.
This is not just disclosure. It’s communication.
Beyond IPO disclosures, SEBI has also begun embracing artificial intelligence more broadly to enhance its surveillance and regulatory functions across the capital markets. By deploying AI-powered algorithms capable of processing vast volumes of structured and unstructured data in real time, SEBI has strengthened its ability to detect unusual trading patterns, potential market manipulation, and insider trading with far greater precision. In parallel, the regulator has implemented advanced data analytics systems that assess historical market data, news, media sentiment, and behavioral patterns to perform predictive analysis. These tools enable SEBI not just to respond to misconduct swiftly, but to anticipate and prevent potential threats before they escalate. Together, these initiatives reflect a strategic shift toward more proactive, technology-driven supervision where AI helps regulators move from reactive enforcement to preemptive oversight.[4]
Where This is Headed
The DRHP review of tomorrow will likely be:
- Template-driven, minimizing ambiguity
- AI-screened, reducing human fatigue
- QR-enabled, enhancing investor access
- Multi-lingual, broadening reach
- And above all, real-time, allowing for regulatory agility.
This is not speculation. This is India’s IPO future being built in real-time.
The Road Ahead for AI in IPO Disclosures
Rethinking Regulatory Process:
The use of AI in reviewing DRHPs isn’t just about speed or automation it represents a deeper shift in how we think about regulation itself. What BSE has piloted and SEBI is exploring goes beyond technology. It’s a rethinking of how we can make the regulatory process smarter, faster, and more inclusive. But let’s be clear: this is just the start.
From Review Tools to Real-Time Drafting Assistants:
Right now, these AI tools are primarily helping at the initial stage screening documents, flagging issues, and helping merchant bankers prepare better submissions. That alone is a big leap forward. But imagine what happens when these systems evolve into full-fledged assistants embedded within the drafting process itself. They could help issuers catch missing disclosures as they type, suggest compliant wording, and ensure consistency across the document. That’s not just convenient it could significantly raise the quality and comparability of DRHPs across the board.
Post-Listing monitoring:
Looking beyond the IPO stage, AI could also help in post-listing monitoring. With companies making ongoing disclosures under the LODR Regulations, AI systems could spot missed deadlines, unusual financial trends, or even detect gaps in corporate governance practices allowing exchanges and regulators to act early.
Conclusion
Of course, with all this potential comes responsibility. AI isn’t magic it reflects the data and design choices behind it. That’s why strong governance is critical. We need audit trails, version control, transparency, and above all, human judgment to remain in the loop. If done right, AI won’t replace trust it’ll help build it. So, as we look ahead, one thing is clear: AI in capital markets is not just about enforcement. It’s about enabling better compliance, better decisions, and ultimately, a better marketplace
[1] https://www.bseindia.com/markets/MarketInfo/DispNewNoticesCirculars.aspx?page=20250617-3
[2] https://www.moneycontrol.com/news/business/markets/sebi-using-ai-for-preliminary-scrutiny-of-ipo-documents-says-ananth-narayan-12290321.html
[3] https://www.sebi.gov.in/legal/circulars/may-2024/audiovisual-av-presentation-of-disclosures-made-in-public-issue-offer-documents_83569.html
[4] https://www.ijnrd.org/papers/IJNRD2404397.pdf
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