Development Officer
Planned giving and legacy programs
What You Do Today
Cultivate bequests, charitable trusts, and other planned giving vehicles. These are the long-term gifts that build endowment and ensure the organization's future.
AI That Applies
AI identifies planned giving prospects based on age, giving history, and engagement patterns. Generates educational content about giving vehicles tailored to different donor profiles.
Technologies
How It Works
For planned giving and legacy programs, the system identifies planned giving prospects 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 — educational content about giving vehicles tailored to different donor profiles — surfaces in the existing workflow where the practitioner can review and act on it.
What Changes
Planned giving prospecting becomes systematic instead of ad hoc. AI identifies donors who fit the profile and triggers appropriate cultivation.
What Stays
Planned giving conversations are sensitive and deeply personal. You're talking about legacy, mortality, and values — that requires human empathy and trust.
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 planned giving and legacy programs, 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 planned giving and legacy programs 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 our current capability gap in planned giving and legacy programs — and is it a people problem, a tools problem, or a process problem?”
They're prioritizing which operational processes to automate
your process improvement or lean lead
“How would we know if AI actually improved planned giving and legacy programs — what would we measure before and after?”
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.