Efforts to adopt advanced tools like machine learning often stall because fundamental digital skills are missing. Many prospect development and advancement analytics professionals excel at relationship-building, writing, and strategy, but lack exposure to core data concepts. In this article, Nikolai Shchelkov, MSIS, MBA, introduces the concept of "Digital Skills Gap Fillers"—practical tools, prototypes, and frameworks that bridge the gap between basic capabilities and advanced IT systems to build team maturity.
Following a well-attended June webinar, this article summarizes key takeaways and practical scenarios from prospect development professionals navigating due diligence and gift acceptance in an uncertain climate. It highlights three real-world case studies detailing reputational risk, structured cross-functional gift reviews, and international research nuances. Additionally, it provides actionable insights on establishing formal governance policies, deploying tiered assessment models, adhering to fact-based research standards, and securing internal leadership buy-in.
Can a small, budget-conscious prospect development shop build its own secure AI tool? In the latest issue of Connections, Nikolai Shchelkov, MSIS, MBA, shares how he designed and tested a secure, offline agentic AI prototype at Eastern New Mexico University. Running entirely on a single laptop with zero budget, this tool allows researchers to ask natural-language questions of their donor giving history and get immediate, calculated results without risking sensitive constituent data.