Major Gift Officer
Develop planned giving opportunities
What You Do Today
Identify and cultivate donors for planned gifts—bequests, charitable gift annuities, trusts. Educate donors about giving vehicles that serve both philanthropic and financial planning goals.
AI That Applies
AI identifies planned giving candidates based on age, giving history, and engagement patterns. Gift planning calculators model financial outcomes for different vehicles.
Technologies
How It Works
For develop planned giving opportunities, the system identifies planned giving candidates based on age. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The output is a recommended plan or schedule that accounts for the identified constraints and optimization criteria.
What Changes
Planned giving candidate identification becomes more data-driven and proactive.
What Stays
Having sensitive conversations about legacy and mortality, helping donors align their estate plans with their values, and navigating family dynamics around charitable bequests require exceptional human sensitivity.
What To Do Next
This section won't tell you what your numbers should be. It will show you how to find them yourself. Every instruction below produces a real, verifiable result in your organization. No benchmarks, no projections — just the steps to build your own evidence.
Establish Your Baseline
Know where you are before you move
Before adopting AI tools for develop planned giving opportunities, understand your current state.
Without a baseline, you can't measure whether AI actually improved anything. You'll adopt tools without knowing if they're working.
Define Your Measures
What to track and how to calculate it
Time per cycle
How to calculate
Measure how long develop planned giving opportunities takes end-to-end today, then after AI adoption.
Why it matters
The most visible improvement is speed. If AI doesn't save time, question whether it's adding value.
Quality of output
How to calculate
Track error rates, rework frequency, or stakeholder satisfaction scores before and after.
Why it matters
Speed without quality is just faster mistakes. Measure both.
Start These Conversations
Who to talk to and what to ask
your VP Operations or COO
“What's the current accuracy of our forecasting, and how would we know if an AI model is actually better?”
They're prioritizing which operational processes to automate
your process improvement or lean lead
“Which historical data do we have that's clean enough to train a prediction model on?”
They understand the workflow dependencies that AI tools need to respect
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.