5 ways to incorporate automation into your major gifts process (without losing the human touch)

Major gift fundraising relies on good data and thorough preparation, but when research consumes hours that could be better spent on conversations, opportunities are missed. The challenge for many teams isn't whether they have the data, it's whether they can convert that data into insights quickly enough to act.

That's where automation comes in. New tools like predictive AI and agent-based research can complete desk work in minutes, delivering fresher profiles, cleaner records, and improved next steps.

Here are five ways to integrate automation into your major gifts process.

1) Identify prospects via predictive AI

Wealth screens are beneficial, but they miss something vital: intent. Machine learning models can assess donors based on their likelihood to donate in the short term and their long-term potential. This means mid-level supporters with strong propensity signals won't be neglected.

Prioritising donors who possess both capacity and propensity ensures your pipeline is filled with prospects who are both willing and able to give.

2) Automate web-search with agentic AI

Public information like biographies, board roles, news, and interviews can take hours to compile into a meaningful report, and then more time to digest before an essential meeting. Agentic AI can scan sources and return concise summaries of what’s pertinent, refreshed on demand. The result is a smoother, more consistent research process and fundraisers who walk into meetings confident and prepared.

3) Compile reports and flag due-diligence areas

Beyond profiles, automation can highlight risk factors and sensitive issues relevant to your mission. Dynamic briefs can integrate biography, interests, connections, giving history, and a due diligence section with potential risk factors. This ensures your organisation approaches every prospect with a comprehensive picture and supports stronger relationships while protecting your reputation.

4) Resolve identities (“which John Smith?”)

Duplicate or incomplete records slow down teams and can lead to embarrassing mistakes. AI agents can triangulate employer, location, and affiliations to confirm which record is correct, and return a confidence score. With cleaner records, fundraisers spend less time second-guessing data and more time progressing real opportunities.

5) Turn insights into recommended outreach

Research should lead directly to action. AI can analyse profiles and suggest the next best step, like which programme to emphasise, who might provide the warm introduction, or even a draft first-touch email. Converting static research into concrete recommendations creates momentum, moving prospects smoothly from identification to cultivation.

The bottom line

Wealth screening alone is yesterday's strategy. The most astute major gifts teams are automating qualitative research to prepare for better donor conversations. AI-assisted research (affinity, relevance, recency) is a superior predictor of a great conversation, and great conversations lead to great gifts.