Step 1 of 4 — Donor Engagement
Donor Data
Enter donor information and giving context to generate personalized thank-you letters. The demo is pre-loaded with a Brightpath Foundation scenario — click the button to see it in action.
Donor Batch Data
Step 2 of 4
Donor Sentiment Analysis
AI analyzed each donor's relationship depth and giving signals to calibrate letter tone
Analysis Scores
Calculating...
Key Signals Detected
✓ 4 personalized letters✓ No premature asks⚡ Sunrise Tech — flag for meeting◎ Vasquez anniversary noted
Quick Metrics
Letters Generated
4
Tone
Warm + specific
Avg Time
45 sec each
Step 3 of 4
Letter Samples
Personalized thank-you letters calibrated to each donor's relationship and context
Key Outputs
Patricia Chen — $5,000 First Major Gift
Lead with the personal connection (nephew's experience). Acknowledge the significance of a first major gift without pressure. Invite her deeper.
Vasquez — $1,500 Fifth-Year Renewal
Celebrate the 5-year milestone explicitly. Reference Robert's background as a teacher — shows we know them. Share a specific student story.
Sunrise Tech — $10,000 Corporate Gift
Professional but warm. Acknowledge the co-branding interest — schedule the meeting. Frame as the start of a partnership, not a transaction.
AI Draft Output
Step 4 of 4 — Results
Summary & Impact
Here is the time recovered and the business impact of running this tool at scale.
Outcome
✓ Letters Complete — 2 Hours Saved
4 personalized, donor-specific thank-you letters generated in under 3 minutes. At 20 letters per batch, that's 2 hours recovered per cycle.
Letters Generated
4
Personalization
100%
Time Saved
2 hrs/batch
This took under 2 minutes. Manually, it would take hours. Ready to deploy this inside your organization?
Book 30 Minutes with Farid →