Investment banks are under intense pressure, but solutions are on the horizon. A third have deployed AI in their operations, according to research by Farsight.
The days of clients tolerating occasional delays or inconsistent experiences across desktop and mobile devices are gone. Today, clients expect seamless collaboration tools, high-quality interfaces and instant access to deal documents. And challenges don’t stop there. Banks are up against cybersecurity issues, compliance requirements, and the impact of economic uncertainty on dealmaking.
Meeting these expectations is an uphill battle, particularly for banks that rely on a patchwork of legacy content management systems and file-sharing tools. “Outdated systems have more ripple effects than you might think,” Yann Gloaguen, Head of Banking & Financial Services at technology consultancy Thoughtworks UK, noted in a recent article on digital transformation in investment banking. “They delay invoicing cycles, increase operational risks and erode client trust.” Fragmented legacy systems create bottlenecks in deal execution, for instance, as well as compliance vulnerabilities. Poor organization of unstructured data can also result in siloed repositories across multiple applications and platforms, creating friction and losing precious time to capture value.
Scattered critical information forces teams to waste hours reconciling document versions, for example. Without intelligent search tools, they also lose more time hunting for specific clauses or financial metrics across vast document repositories. Little or no integration between legacy content systems and core applications also means human intervention is needed to complete actions that could and should be automated.
All these issues create workflow delays that ultimately impact the client experience. In addition, the inflexibility of legacy systems makes it hard for investment banks to adapt to changing client needs and today’s ever-evolving regulatory environment. The high maintenance costs associated with legacy tech can drain IT budgets, too. “Rigid [legacy] architecture requires expensive customization for even minor changes, creating a significant total cost of ownership that impacts profitability while slowing transactions and diminishing client experience,” says Matthew Midson, Managing Director for Banking at Box.
Rigid [legacy] architecture requires expensive customization for even minor changes, creating a significant total cost of ownership that impacts profitability while slowing transactions and diminishing client experience.
Intelligent Content Management from Box can help investment banks to address these challenges. It’s a solution that supports secure collaboration on sensitive content, such as deal documents and other confidential client files, which can speed up workflows and enhance client satisfaction without compromising compliance. Integrations with other systems via APIs can also help to streamline Know Your Customer (KYC) and Anti-Money Laundering (AML) processes, ensuring clients are onboarded quickly and smoothly.
Virtual Data Rooms (VDRs) are another key feature. Over the years, these have evolved from simple file repositories to sophisticated collaboration platforms that typically serve as the digital nerve center for complex transactions. They feature heavily in due diligence processes during M&A transactions, for instance, with buyers typically reviewing financial records, contracts and other sensitive documents. They also enable information to be securely shared with potential investors during fundraising rounds.
VDRs provide real-time visibility into document access and activities, ultimately speeding up deal execution while maintaining security.
“Virtual data rooms are essential for managing sensitive transactions such as mergers and acquisitions or capital raises where confidentiality is paramount, but speed cannot be compromised,” says Ravi Malick, Global Chief Information Officer at Box.
Box VDRs ensure confidentiality in a variety of ways. Admins can grant different levels of access permissions to specific files and folders, such as view only, download or editing access, or for only a particular role or timeframe. Data encryption, automated redaction, watermarking and detailed audit trails offer further protection. “VDRs provide real-time visibility into document access and activities, ultimately speeding up deal execution while maintaining security,” says Midson.
Extracting insights with AI
Banks that adopt a modern content management platform can also apply AI to the vast amount of unstructured data they generate and collect, from pitch decks and research reports to written communications and meeting transcripts. “All of this contains rich insights about client needs, market trends, or potential risks that traditional structured databases miss out on,” says Malick. “AI-powered content analysis helps banks extract actionable insights that directly improve client advisory services and experiences.”
Insights extracted from unstructured data can reveal patterns and trends in contracts, due diligence materials and market intelligence documents. These insights enable more informed strategic recommendations, help identify new opportunities for clients quickly and support more accurate risk assessments. In addition, AI-powered metadata tagging can also automatically organize content according to deal stages, document types and regulatory requirements, significantly reducing manual filing efforts and ensuring consistent organization of deal documentation.
Investment banks appear to have a high willingness to experiment with AI, according to Farsight’s 2024 AI in Investment Banking Survey. “Firms are excited first and foremost by the efficiencies AI can help drive in deal processes, leading to superior client outcomes and faster time-to-close,” the report notes. “They are also bullish on the prospect of getting in front of prospective sellers and buyers more efficiently, and leveraging the technology to get an edge on their competitors.”
AI-powered content analysis helps banks extract actionable insights that directly improve client advisory services and experiences.
Looking ahead, AI-powered deal origination could see intelligent platforms identifying potential M&A targets or financing opportunities by analyzing market data, company financials and industry trends. Pitchbook creation could also be revolutionized through AI-powered content assembly that automatically incorporates relevant market data, client history and tailored recommendations, reducing preparation time from days to hours while ensuring compliance. More advanced AI-powered compliance monitoring may even help investment banks to automatically identify potential regulatory issues and suggest – and possibly implement – remediation strategies.
Ultimately, the personalization of client services, efficiency of global collaboration and breadth of insights drawn from unstructured data should also continue to improve as AI gains new capabilities.
“These advancements will enable more strategic client relationships, faster deal execution and competitive advantages for forward-thinking institutions,” says Midson. In short, the benefits of an AI-enabled content management platform may become increasingly apparent in the future. But even today, it’s clear the technology can help investment banks to deliver the digital-first experiences clients now want and expect from them. Learn more here
