



Mint Explainer: How AI is transforming investment banking
Mint explains how significant AI’s impact really is on investment banking.A 2023 Deloitte report noted that global investment banks have invested billions of dollars in machine learning and natural language processing to transform trading and risk management. However, the deal-making lifecycle remains heavily dependent on human expertise.
Despite a decade of progress in automated research, a substantial portion of transaction workflows continues to rely on costly human capital—an inefficiency investment banks are now actively seeking to address.AI-assisted workflows can now generate first drafts of teasers and memorandums, auto-populate financial profiles from structured data, reduce turnaround time for pitch materials from days to hours, and free senior and junior bankers alike to focus on core issues like building relationships, strategy and insight.While widespread integration remains nascent, use cases are expanding. Pankaj Harlalka, co-founder of AI-native platform S45, noted that large investment banks are currently “experimenting with AI tools for drafting pitch materials and analysing data”.
S45, backed by RTP Global, is an AI-first investment banking platform serving Indian companies across small and medium enterprises and mainboard initial public offerings (IPO).The shift to AI integration is already yielding pipeline activity, the company claimed. S45 is processing six offer documents and is in advanced discussions with seven to eight companies for mandates, according to another co-founder, Deepank Bhandari.The reduction in turnaround time and the potential automation of processes raise questions about the billable value of bankers and the sustainability of advisory fees.
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