From Intake to Exam-Ready: Initial and Ongoing EDD for High-Risk Accounts

High-risk and specialty banking is one of the fastest-growing corners of the industry, and the institutions willing to serve it well are winning meaningful deposit and fee income that their peers are leaving on the table.  Unfortunately, most financial institutions still run enhanced due diligence the way it’s been done for a decade: open-source searches, manual document pulls, spreadsheets, and stitched-together internal workflows.  The result is a slow and frustrating process for both the institution and the customer. 

This session breaks down what’s actually going wrong in most EDD programs today, what examiners and top-performing teams look for at onboarding and beyond, the tools reshaping this work, and how the best programs scale high-risk banking into a genuine growth line, not just a compliance obligation.

Topics Covered:

The State of Specialty Banking

• Why “high-risk” is expanding as a category: cannabis, hemp/CBD, MSBs, fintechs, gaming, ATM operators, NGOs and cash-intensive businesses are all converging on the same compliance problem
• The opportunity institutions are sitting on vs. the risk they’re worried about

Where Onboarding Breaks Down Today

• The most common failure points: inconsistent risk scoring across analysts, manual document collection, no standardized definition of “high-risk” within the institution, onboarding timelines that push good customers to competitors
• The hidden cost of a bad onboarding experience for the bank and for the customer 

What Strong EDD Actually Looks For

• The real risk indicators vs. the ones teams over-index on: ownership and beneficial-owner structure, licensing/credential status and expiration, source of funds, cash-intensity ratios, expected vs. actual activity, adverse media
• A practical framework for risk-tiering customers at intake so review depth matches actual risk instead of treating every account like the worst-case scenario

Old Versus New Approaches

• Legacy approach: manual open-source searches, static document repositories, periodic (not continuous) reviews
• What’s replacing it: automated data collection and verification, automated regulatory filing, license and credential tracking that flags lapses before they become findings

How the Best Programs Scale

• Designing the program around both sides of the relationship: what makes the bank defensible in an exam, and what makes the customer experience feel like a normal bank relationship instead of an interrogation
• Portfolio-level visibility: how top programs track trends and outliers across hundreds of accounts without adding headcount
• A short case snapshot of what this looks like at scale

Live Q&A