AI for Legacy Giving: How to Identify and Cultivate Planned Gift Prospects
Legacy giving represents one of the most significant opportunities for nonprofit sustainability, yet many organizations struggle to identify and engage potential planned gift donors effectively. Artificial intelligence is transforming how nonprofits approach legacy giving programs by analyzing donor data patterns, predicting giving capacity, and personalizing cultivation strategies at scale. This comprehensive guide explores how AI can help your organization build a thriving planned giving program that secures your mission's future while honoring donors' philanthropic visions.
Legacy gifts—including bequests, charitable gift annuities, and other planned giving vehicles—often represent the largest donations nonprofits will ever receive from individual donors. Yet legacy giving programs frequently operate in the dark, relying on manual prospect research, intuition, and time-intensive one-on-one cultivation that can only reach a limited number of donors. The result is that organizations miss opportunities to engage supporters who have the capacity and intention to leave transformational gifts.
Artificial intelligence changes this equation fundamentally. By analyzing patterns across your donor database—giving history, engagement behaviors, demographic indicators, and communication preferences—AI can identify prospects who share characteristics with confirmed legacy donors. These systems can process thousands of donor records in minutes, surfacing individuals who might never have appeared on your planned giving radar through traditional screening methods. More importantly, AI enables personalized cultivation at scale, helping you build meaningful relationships with dozens or hundreds of prospects simultaneously.
The opportunity is particularly significant for small and mid-sized nonprofits that lack dedicated planned giving staff. AI tools democratize sophisticated prospect research and cultivation techniques that were once available only to organizations with substantial development teams. Whether you're launching your first legacy giving program or seeking to expand an established one, AI provides practical capabilities that can accelerate your results while respecting the sensitive, relationship-focused nature of planned giving work.
This article explores how nonprofits can leverage AI throughout the legacy giving pipeline—from initial prospect identification through cultivation, stewardship, and ultimately securing legacy commitments. You'll learn specific strategies for using AI to analyze your donor base, personalize outreach, manage complex cultivation timelines, and create systems that honor both donor intent and organizational sustainability.
Understanding AI's Role in Legacy Giving Programs
Before diving into specific applications, it's important to understand what AI can and cannot do in the context of legacy giving. AI excels at pattern recognition, data analysis, and generating personalized content at scale. It can process vast amounts of information to identify correlations that humans might miss and automate repetitive tasks that consume valuable staff time. However, AI cannot replace the human relationships, empathy, and nuanced understanding of donor motivations that lie at the heart of successful planned giving programs.
The most effective approach combines AI's analytical power with human judgment and relationship-building skills. Think of AI as an enhancement to your development team's capabilities, not a replacement. AI identifies prospects and suggests cultivation strategies, but your staff builds the trust, has the meaningful conversations, and ultimately helps donors fulfill their philanthropic visions through planned gifts. This partnership between technology and human connection is what makes modern legacy giving programs successful.
What AI Brings to Legacy Giving
Key capabilities that transform planned giving programs
- Predictive modeling: Analyzing donor characteristics and behaviors to identify prospects with high legacy gift potential before they self-identify
- Pattern recognition: Discovering commonalities among confirmed legacy donors that can guide prospecting efforts across your entire database
- Personalization at scale: Creating tailored cultivation content and communication strategies for dozens or hundreds of prospects simultaneously
- Continuous learning: Refining prospect models and cultivation strategies as more data becomes available and as donors progress through the pipeline
- Capacity assessment: Estimating giving potential based on publicly available information and giving history to prioritize cultivation efforts
- Optimal timing: Identifying the right moments for cultivation touchpoints based on engagement patterns and donor life events
The integration of AI into legacy giving programs also addresses a critical challenge: the long cultivation timelines inherent in planned giving work. Unlike annual fund appeals that may convert donors within weeks, legacy gift cultivation often spans years or even decades. AI helps manage these extended relationships by tracking engagement over time, identifying when prospects may be ready for deeper conversations, and ensuring that no one falls through the cracks due to staff transitions or organizational changes.
Identifying High-Potential Legacy Gift Prospects
The foundation of any successful legacy giving program is accurate prospect identification. Traditional approaches rely on wealth screening services, age demographics, and self-identification through legacy society marketing. While these methods remain valuable, they often miss significant opportunities. AI expands your prospecting capabilities by analyzing behavioral patterns and engagement signals that correlate with legacy giving potential, even among donors who don't fit traditional demographic profiles.
AI-Powered Prospect Identification Signals
Behavioral indicators that AI can detect and analyze
Giving Pattern Analysis
AI examines donation history to identify patterns that correlate with legacy gift potential. This includes consistency of giving over many years, incremental increases in gift size, and responses to specific types of appeals. Donors who have supported your organization for 10+ years with modest but reliable gifts often have strong legacy potential, even if they've never made a major gift. AI can identify these "hidden gems" that manual review might overlook.
- Long-term giving consistency (10+ years of support)
- Increased giving amounts over time, even if modest
- Response to mission-focused content rather than urgency appeals
Engagement Intensity
Beyond financial contributions, AI tracks how donors engage with your organization across multiple channels. High engagement scores—calculated from email opens, event attendance, volunteer participation, and content consumption—often correlate with emotional connection to your mission. Donors who regularly attend virtual events, read your impact reports, or volunteer consistently may have legacy gift potential regardless of their current giving level.
- Regular attendance at events (virtual or in-person)
- High email engagement rates over extended periods
- Volunteer participation showing personal investment
Demographic and Life Stage Indicators
While not determinative, certain demographic factors do correlate with legacy giving likelihood. AI can analyze your database to identify donors in life stages where estate planning typically occurs—retirement age, empty nesters, or those who've experienced significant life events. Combined with other signals, these indicators help prioritize cultivation efforts. However, it's crucial to avoid ageism; younger donors may also have legacy gift potential, particularly if they've demonstrated mission alignment and consistent engagement.
- Age 55+ (retirement planning phase)
- No dependents or grown children
- Professional background suggesting financial planning awareness
Communication Preferences and Responses
AI can analyze which messages resonate most strongly with individual donors. Prospects who engage deeply with legacy giving content—reading blog posts about planned giving, clicking through estate planning resources, or attending legacy society events—are signaling potential interest. Similarly, donors who respond positively to mission-impact stories rather than urgent appeals may be thinking long-term about supporting your work.
- Engagement with planned giving educational content
- Interest in long-term strategic vision and impact
- Attendance at legacy society or estate planning events
Building Your Prospect Scoring Model
Once you understand the signals that correlate with legacy gift potential, AI can create a scoring model that ranks all donors in your database by likelihood of legacy gift interest. This model should be customized to your organization based on analysis of your confirmed legacy donors. If you already have legacy society members or documented bequest intentions, AI can identify common characteristics among these donors and then search your entire database for others who share similar patterns.
Start by exporting data on your confirmed legacy donors, including their giving history, engagement metrics, demographic information, and any other relevant data points. Use AI tools (including advanced ChatGPT or Claude prompts, or specialized nonprofit AI platforms) to analyze this cohort and identify distinguishing characteristics. The AI might discover, for example, that your legacy donors typically gave consistently for 15+ years, attended at least three events, and showed particular interest in a specific program area. Armed with these insights, you can then query your database for other donors with similar profiles.
Remember that prospect scoring is probabilistic, not deterministic. A high score indicates stronger likelihood of interest, but every donor is an individual with unique motivations. Use scores to prioritize outreach and allocate staff time, but approach each prospect with genuine curiosity about their philanthropic goals rather than assumptions based solely on their score. The goal is to identify potential, not to make premature judgments about donor capacity or intention.
Personalizing Cultivation Strategies with AI
Identifying prospects is only the beginning. The real work of legacy giving lies in cultivation—the patient, relationship-focused process of helping donors understand planned giving options, connect their philanthropic values to your mission, and ultimately make the decision to include your organization in their estate plans. This process traditionally requires substantial staff time for one-on-one meetings, personalized communications, and ongoing stewardship. AI dramatically expands your capacity for personalized cultivation without sacrificing the human touch.
AI-Enhanced Cultivation Approaches
Strategies for personalized donor engagement at scale
Personalized Content Creation
AI can generate personalized cultivation letters, emails, and educational materials that speak directly to each prospect's interests and giving history. Rather than sending generic planned giving appeals to your entire database, you can create individualized messages that reference the donor's specific connection to your organization, highlight programs they've supported, and explain how a legacy gift would continue their impact. This level of personalization was previously impossible at scale.
For example, if a donor has consistently supported your youth education programs and attended several program events, AI can craft a cultivation letter that specifically discusses how a bequest would ensure youth education programming continues for generations, includes a story from a program graduate, and references the events they attended. This feels personal and relevant rather than generic, increasing the likelihood of meaningful engagement.
Multi-Touch Cultivation Sequences
Legacy gift cultivation typically requires multiple touchpoints over extended periods—months or years of relationship building. AI can help design and execute cultivation sequences that gradually educate prospects, deepen relationships, and move toward gift conversations. These sequences adapt based on donor responses; if a prospect engages strongly with content about charitable gift annuities, subsequent communications can provide more detailed information on that giving vehicle.
A cultivation sequence might include: an initial introduction to your legacy society, educational content about estate planning basics, stories from current legacy donors, information about different planned giving vehicles, invitation to a virtual estate planning seminar, and eventually, a personalized conversation with development staff. AI tracks engagement at each stage and adjusts the timing and content of subsequent touchpoints accordingly.
Donor Profile Development
AI can create comprehensive donor profiles that synthesize all available information about a prospect—giving history, program interests, engagement patterns, communication preferences, and biographical information. These profiles help development staff prepare for cultivation conversations by understanding the donor's complete relationship with your organization. Before meeting with a legacy prospect, staff can review an AI-generated profile that highlights key talking points, suggests cultivation strategies, and identifies potential obstacles or concerns to address.
This is particularly valuable for organizations with limited development staff or those experiencing staff transitions. New team members can quickly get up to speed on prospect relationships, and important cultivation details don't get lost when someone leaves the organization. The AI-generated profile serves as institutional memory that transcends individual staff members.
Optimal Timing and Channel Selection
Not all cultivation touchpoints are equally effective. AI analyzes when prospects are most likely to engage—certain days of the week, times of year, or following specific organizational milestones—and which channels they prefer. Some donors respond best to email, others to phone calls, and still others to physical mail. By analyzing past engagement patterns, AI can recommend the optimal timing and channel for each cultivation touchpoint, increasing response rates and relationship quality.
Additionally, AI can identify life events or organizational milestones that create natural opportunities for cultivation conversations. If a donor's long-supported program reaches a major milestone, that's an ideal moment to discuss how they could ensure that program's future through a legacy gift. AI tracking systems can flag these opportunities so staff can act on them promptly.
Balancing Automation and Authenticity
One of the most important considerations in AI-assisted cultivation is maintaining authenticity. Donors can often sense when they're receiving automated or impersonal communications, and this can undermine trust—particularly in the sensitive realm of legacy giving, where donors are making deeply personal decisions about their estate plans. The goal is not to automate relationships, but to use AI to enable more thoughtful, personalized, and timely human engagement.
Always review and customize AI-generated content before sending it to prospects. While AI can draft a personalized letter, your development director should add a handwritten note, adjust language to match their natural voice, or include a specific detail that only a human would know. Use AI to handle the heavy lifting of research, drafting, and scheduling, but preserve the human elements that make cultivation relationships meaningful.
Similarly, be transparent when appropriate about your use of technology to support your work. Many donors appreciate that nonprofits are using tools efficiently to maximize mission impact. You might mention, "We're using new technology to help us stay in better touch with our most committed donors" or "I wanted to reach out because our database showed how engaged you've been with our programs." This transparency builds trust and demonstrates that you're using resources wisely.
Managing the Legacy Gift Pipeline
Legacy giving requires pipeline management across timelines that can span decades. Prospects move through various stages—from initial awareness to education, cultivation, commitment, and eventually, gift realization. AI helps track progress through this pipeline, ensure consistent engagement, and identify when prospects are ready to advance to the next stage. This systematic approach prevents prospects from stalling at one stage indefinitely or being forgotten during staff transitions.
Pipeline Stage Tracking
AI can categorize prospects into different pipeline stages based on their engagement levels and responses to cultivation efforts. This might include stages like: Identification, Awareness, Education, Consideration, Commitment Intent, and Documented Commitment.
- Automated stage progression based on engagement signals
- Alert staff when prospects show signs of readiness to advance
- Track average time in each stage to optimize cultivation
Predictive Gift Timing
While legacy gifts ultimately materialize upon a donor's passing or through immediate gift vehicles like charitable gift annuities, AI can help predict when prospects are likely to make documented commitments to include your organization in their estate plans.
- Analyze patterns among donors who've made commitments
- Identify cultivation activities that correlate with conversion
- Optimize resource allocation based on conversion likelihood
Portfolio Management
Development staff can only maintain meaningful relationships with a limited number of prospects at once. AI helps manage prospect portfolios by recommending which donors to prioritize, when to reach out, and what cultivation activities to undertake.
- Balance portfolio size with capacity for personal attention
- Suggest next actions for each prospect based on history
- Flag prospects who haven't been contacted recently
Documentation and Continuity
Given the long timelines involved, documentation is critical. AI can help maintain detailed records of all cultivation activities, donor conversations, and commitments, ensuring institutional knowledge persists even when staff members change roles.
- Automatically log cultivation activities and touchpoints
- Generate summaries of donor relationships for new staff
- Track commitments and ensure appropriate stewardship
Measuring Program Effectiveness
AI also enables more sophisticated measurement of your legacy giving program's effectiveness. Traditional metrics like number of documented bequests or total projected legacy value remain important, but AI can track leading indicators that predict future success. These might include: number of prospects advancing through pipeline stages, engagement rates with legacy giving content, attendance at estate planning events, and quality of prospect scores.
By analyzing which cultivation activities correlate most strongly with eventual legacy commitments, you can refine your program over time. Perhaps you discover that prospects who attend virtual estate planning seminars are three times more likely to make documented commitments within two years. This insight allows you to invest more resources in seminars and adjust your cultivation strategy accordingly. AI transforms legacy giving from an art based primarily on intuition into a more systematic approach informed by data, while still honoring the human relationships at its core.
Additionally, AI can help you understand the lifetime value of legacy donors, including their annual giving, volunteer contributions, and advocacy efforts in addition to their planned gift. This comprehensive view helps justify investment in legacy giving programs to leadership and board members who may focus primarily on immediate fundraising results. When you can demonstrate that legacy society members give 40% more annually than similar donors not in cultivation, the case for investing in planned giving becomes much stronger.
Ethical Considerations in AI-Assisted Legacy Giving
Legacy giving touches on deeply personal matters—mortality, family, values, and financial security. The use of AI in this context demands particular attention to ethics and donor rights. While AI can make your program more effective, it must be deployed in ways that respect donor autonomy, privacy, and dignity. Organizations that rush to implement AI without considering these dimensions risk damaging donor relationships and undermining trust.
Ethical Guidelines for AI in Legacy Giving
Principles to guide responsible implementation
- Respect donor privacy: Use AI to analyze patterns and inform strategy, but never share individual donor data inappropriately or use predictive models to pressure donors. Legacy giving decisions should be voluntary and free from coercion.
- Prioritize donor intent: AI should help you understand and honor what donors want to achieve through their legacy gifts, not manipulate them toward organizational priorities that don't align with their values.
- Avoid discriminatory targeting: Ensure your AI models don't inadvertently exclude or deprioritize prospects based on protected characteristics. Legacy giving capacity exists across diverse communities.
- Maintain transparency: Donors who ask should understand, at least generally, how you're using technology in your development work. Secrecy about AI use can create suspicion.
- Preserve human judgment: Use AI to inform decisions, but ensure humans make final determinations about cultivation strategies, particularly when dealing with vulnerable populations or sensitive situations.
- Secure donor data: Legacy gift data is particularly sensitive. Implement strong security measures for any systems that store or process prospect information, and limit access to development staff who need it.
- Encourage professional advice: Always recommend that prospects consult with their own legal and financial advisors before making legacy gift decisions. AI should facilitate informed decision-making, not replace professional counsel.
It's also worth considering the potential for AI to democratize access to legacy giving opportunities. Traditionally, planned giving programs have focused heavily on wealthy donors who could make large bequests. However, legacy gifts of any size can be meaningful—both to the organization and to the donor. AI-enabled personalization at scale makes it feasible to cultivate legacy relationships with middle-income donors who might not have been priorities under capacity-constrained traditional approaches. This broader reach can make your legacy society more diverse and representative of your donor community as a whole.
Finally, remember that AI models reflect the data they're trained on. If your confirmed legacy donors are predominantly from certain demographic groups, your AI may inadvertently overlook prospects from other communities who have equal interest and capacity. Regularly audit your prospect identification models for bias, and actively seek to diversify your legacy donor base. Consider adjusting scoring models to ensure you're reaching across your full donor community, not just replicating historical patterns that may reflect past limitations rather than current potential.
Getting Started with AI-Enhanced Legacy Giving
Implementing AI in your legacy giving program doesn't require massive investment or technical expertise. Start with the tools and data you already have, and gradually expand your capabilities as you learn what works for your organization. The key is to begin with clear objectives, test systematically, and remain focused on serving donors rather than simply maximizing gift revenue.
Implementation Roadmap
A phased approach to AI-enhanced legacy giving
Phase 1: Foundation (Months 1-3)
- Audit your donor database quality and identify gaps in data collection
- Analyze existing legacy donors to identify common characteristics
- Experiment with AI tools (ChatGPT, Claude) for content creation and prospect research
- Create initial prospect scoring criteria based on your analysis
Phase 2: Pilot Program (Months 4-9)
- Identify 25-50 high-scoring prospects for focused cultivation pilot
- Use AI to create personalized cultivation content for pilot group
- Track engagement metrics and refine your approach based on responses
- Document lessons learned and adjust scoring model accordingly
Phase 3: Scale and Systematize (Months 10-18)
- Expand to full prospect pool with tiered cultivation strategies
- Implement automated cultivation sequences with personalization
- Develop pipeline tracking and portfolio management systems
- Consider specialized legacy giving AI tools if warranted by program size
Phase 4: Optimization and Innovation (Ongoing)
- Continuously refine models based on conversion data and engagement patterns
- Experiment with new AI capabilities as they become available
- Share insights with development team and integrate into overall strategy
- Measure program ROI and communicate results to leadership
Tools and Technologies to Consider
You don't need expensive specialized software to begin using AI in legacy giving. Start with accessible tools that integrate with your existing systems. General-purpose AI assistants like ChatGPT or Claude can help with prospect analysis, content creation, and strategy development. Many CRM and donor management systems now include AI features for predictive modeling and personalization. As your program matures, you might explore specialized legacy giving platforms that offer AI-powered prospect scoring and cultivation tools.
The most important technology investment isn't the AI itself—it's a clean, comprehensive donor database. AI is only as good as the data it analyzes. Before implementing sophisticated AI tools, ensure you're consistently capturing engagement data, updating donor records, and tracking cultivation activities. If your database is incomplete or outdated, focus first on data hygiene and enrichment. This foundation will make any AI implementation significantly more effective.
Also, consider how AI capabilities might already exist within tools you're using. Your email marketing platform may offer AI-powered send time optimization. Your CRM might include predictive scoring features. Your website analytics could identify donors showing interest in legacy giving content. Audit your existing tech stack to discover AI capabilities you're already paying for but not fully utilizing. Often, you can achieve significant results by better leveraging tools you already have before investing in new solutions.
Integrating Legacy Giving AI with Broader Development Strategy
Legacy giving doesn't exist in isolation from your other development activities. The most successful programs integrate planned giving cultivation with annual fund appeals, major gifts work, and donor stewardship. AI can help you understand these connections and create cohesive donor journeys that recognize legacy prospects are often also annual donors, event participants, volunteers, and advocates.
For example, AI analysis might reveal that donors who increase their annual giving by 15% or more in a single year are significantly more likely to consider legacy gifts within the next three years. This insight allows you to coordinate between your annual fund and planned giving programs—when someone makes a substantial increase in their annual gift, your legacy giving team can reach out with appropriate cultivation. Similarly, major gift officers might use AI-generated legacy gift potential scores to identify which of their prospects would benefit from conversations about blended gifts that combine current major gifts with future legacy commitments.
AI also helps you avoid cultivation conflicts and donor fatigue. If a donor is already in intensive cultivation for a major gift, they probably shouldn't simultaneously receive heavy legacy giving outreach. Integrated AI systems can coordinate across development programs to ensure donors receive appropriate attention without feeling overwhelmed. This coordination becomes particularly important in larger organizations where different staff members may work with the same donors on different initiatives.
Consider how legacy giving cultivation can enhance, rather than compete with, your other fundraising priorities. Legacy society members often increase their annual giving when they make a documented bequest commitment—they've just made a profound statement about their commitment to your mission, and this often translates to increased current support. AI can help you identify and capitalize on these moments of deepened engagement, creating virtuous cycles where legacy giving strengthens your overall development program rather than existing as a separate silo.
Finally, think about how the AI infrastructure you build for legacy giving can serve other development needs. Prospect scoring models, personalization engines, and donor profile systems developed for planned giving often have applications in major gifts, capital campaigns, and mid-level donor programs. By building flexible, scalable AI systems rather than narrow single-purpose tools, you maximize return on your technology investment and create capabilities that benefit your entire development operation.
Measuring Success: Metrics That Matter
Legacy giving programs require patience—it may take years before you see significant realized gifts from your AI-enhanced cultivation efforts. However, you can and should track leading indicators that predict long-term success and help you refine your approach. These metrics demonstrate program value to leadership even before large legacy gifts materialize.
Pipeline Metrics
- Number of qualified prospects identified by AI scoring
- Prospects advancing through cultivation stages
- Conversion rates at each pipeline stage
- Average time to move between stages
Engagement Indicators
- Open and click rates for cultivation communications
- Attendance at legacy giving events and webinars
- Engagement with planned giving website content
- Response rates to cultivation outreach
Commitment Metrics
- Number of documented bequest intentions received
- Total projected legacy gift value in pipeline
- Percentage of AI-identified prospects making commitments
- Growth in legacy society membership
Program Efficiency
- Staff time saved through AI-assisted cultivation
- Cost per prospect cultivated vs. traditional methods
- Number of prospects managed per FTE
- Accuracy of AI prospect scoring over time
Beyond quantitative metrics, pay attention to qualitative feedback. Are development staff finding AI tools helpful, or do they feel the technology creates additional work? Are donors responding positively to personalized cultivation, or does it feel intrusive? Do legacy society members feel appropriately recognized and stewarded? Regular check-ins with both staff and donors help ensure your AI implementation enhances relationships rather than mechanizing them.
Also track the accuracy of your AI predictions over time. As prospects convert to documented commitments—or as high-scoring prospects show no interest despite cultivation—you gain data that can refine your models. A prospect scoring system that initially achieves 60% accuracy in identifying donors who eventually make legacy commitments might improve to 75% or 80% as you incorporate learnings. This continuous improvement is one of AI's greatest strengths; the system gets smarter the more you use it.
Finally, consider the holistic impact on your organization's financial sustainability. Legacy giving programs, when successful, can transform nonprofit financial security by creating endowment resources, reducing dependence on annual fundraising volatility, and enabling long-term strategic planning. While these benefits may take years to fully materialize, tracking progress toward these organizational goals helps maintain executive and board support for your AI-enhanced legacy giving initiative even before major gifts are realized.
Conclusion: Building a Legacy That Lasts
Legacy giving represents the ultimate expression of donor commitment—the decision to ensure your organization's mission continues long after the donor is gone. This profound act of generosity deserves cultivation approaches that are both sophisticated and deeply human. AI provides the sophistication: the ability to identify prospects at scale, personalize cultivation systematically, and manage complex pipelines over decades. But the human element—empathy, relationship-building, and authentic connection—remains irreplaceable.
The nonprofits that will thrive in coming decades are those that successfully blend these capabilities. They use AI to work smarter, reaching more potential legacy donors with personalized cultivation than would ever be possible manually. But they never lose sight of the fact that behind every data point is a person with unique values, circumstances, and philanthropic dreams. The technology serves the relationship, not the reverse.
As you implement AI in your legacy giving program, start small, learn continuously, and always prioritize donor experience. Test prospect scoring models with small pilot groups before rolling out to your full database. Experiment with AI-generated content, but review and personalize it before sending. Track metrics rigorously, but also listen to qualitative feedback from staff and donors. Over time, you'll develop an approach that combines the best of technological capability with the irreplaceable value of human connection.
The ultimate measure of success isn't just the number or size of legacy gifts received—though those certainly matter. It's whether your program helps donors achieve their philanthropic goals while building genuine community around your mission. Legacy society members should feel honored, engaged, and confident that their gifts will be used wisely to advance causes they care deeply about. When AI helps you create these experiences for more donors, you're not just securing organizational sustainability; you're building a community of supporters whose impact will ripple forward for generations. That's a legacy worth cultivating.
Ready to Transform Your Legacy Giving Program?
Learn how One Hundred Nights can help you implement AI-powered legacy giving strategies that identify high-potential prospects, personalize cultivation at scale, and build a sustainable future for your mission. Our team specializes in helping nonprofits leverage AI while maintaining the personal relationships that make legacy giving meaningful.