Outrun the Risk: Why Winning Deals Start with Better Intelligence
A transaction can unravel in seconds due to missed red flags, incomplete diligence, unreliable sources and more. In investment banking, the cost of blind spots is often reputational fallout, failed deals, and millions in losses. For senior banking leaders, the...
How Investment Bankers Can Slash Due Diligence Time and Still Make Smarter Decisions
For investment banking analysts, due diligence often means long nights, endless tabs, and high stakes. The information must be right, and the timing must be perfect, which simply isn’t sustainable or attainable. A 2025 Forrester Consulting Total Economic Impact...
Why Top Investment Banks Are Banking on GenAI for High-Impact Productivity
For CTOs, the next wave of productivity is operational as well as strategic. Automation has been a cornerstone of operational strategy in investment banking for decades. From auto-populating valuation models using financial statement data to streamlining data...
How Investment Banks Can Trust and Verify GenAI Outputs
As generative AI tools become embedded in investment banking workflows, ensuring output quality is no longer optional, it’s imperative. From pitch decks to market summaries, genAI can speed up delivery and unlock productivity. But without robust validation practices...
Driving GenAI Adoption: How Investment Banks Can Overcome Resistance and Lead Strategic Change
For Partners in investment banking, the real opportunity in genAI lies in accelerating insight, boosting client value, and protecting margin. Generative AI is rapidly becoming a differentiator in financial services. Top-performing investment banks are starting...
Balancing Risk and Opportunity: What Investment Banks Must Get Right with genAI
How analysts can embrace innovation without compromising trust, compliance, or performance. Why genAI Adoption in Banking Must Balance Speed with Safeguards GenAI is reshaping how analysts in investment banking work, making research faster, pitchbooks sharper...