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On May 21, join us to learn what separates firms with real AI adoption from those still stuck at pilot stage, a session built for CIOs, CTOs and COOs: In this session, we'll cover: 💠How to drive senior adoption (not just analyst-level enthusiasm) 💠How to measure ROI beyond completion rates and hours saved 💠How to maintain momentum past IT, legal, and compliance

AI is handling drafts, but senior deal teams aren't working any differently. On May 21st, Wall Street Prep and Financial Edge will be sharing what your peers are doing to close this gap.

Some firms are starting to move faster with AI. The difference isn't the tools they're using - it's how they've embedded AI at the workflow level. We're running a virtual session on May 21st for COOs, CTOs and CIOs in financial services to share what's actually working.

Most firms have approved AI. Few have changed how deals actually move. We're running a virtual session on May 21st for COOs, CTOs and CIOs in financial services to share what's actually working.

Traditional credit training has a fundamental problem: Senior RMs managing $50M+ portfolios get the same content as first-year associates. A top 5 U.S. commercial bank saw this firsthand. They piloted credit training for 200 RMs using the industry-standard approach of one-size-fits-all content, generic pathways, no differentiation. The result? Low completion. No application to live deals. RMs stuck in underwriting bottlenecks. So they tried something different. Personalized pathways based on skill level and tenure. New hires got fundamentals. Veterans got restructuring. Senior RMs got distressed debt and portfolio risk management. They scaled from 200 to 10,000+ RMs without losing that personalization. Within 60 days, RMs were applying credit skills to live deals. Managers reported fewer pipeline bottlenecks. Clients noticed stronger technical capabilities. The full case study breaks down exactly how they structured it.

"Is AI actually relevant to traditional finance and accounting work?" That was the question senior professionals at a national financial consultancy kept asking. Meanwhile: → Clients were requesting AI-enhanced analytics → Competitors were marketing AI capabilities → The firm had no credible expertise to offer The CEO needed a solution that would build genuine capability, not just superficial awareness. They ran a cohort-based AI program for 200+ professionals, from analysts to C-suite. Finance-specific curriculum. Real case studies from accounting and advisory contexts. Led by Columbia Business School faculty. The shift was significant. Teams went from skepticism to building AI-augmented workflows with human-in-the-loop validation. They're now leading client conversations on AI-assisted valuations, automated control testing, and month-end close automation. One senior leader put it simply: "The better solution is targeted, specific use cases to build out these tools." Full case study below.