Graphcom’s Post

My nonprofit friends, if you are diving into AI for your nonprofit for the first time, start with your mission, not the tech trends. In my work, here is how I approach it – the "2-for-1" approach: ask two questions instead of one. This post is to give you some examples of this approach. When an organization starts exploring AI, the first step is often finding relevant use cases. Those use-cases often stay limited to task-first examples. But there’s a big difference (and bigger returns) between approaching AI from a task-first mindset vs. a mission-first mindset. Here are some examples of how you can reframe your questions using this "2-for-1" approach to ensure that AI advances your organization’s purpose—not just your processes. Example 1: Task-First: ● How can AI help us handle data faster? Mission-First: ● How can we better understand and serve our community’s unique needs? ● How can AI help in that understanding? Example 2: Task-First: ● What processes can we automate to save time? Mission-First: ● Focusing on which tasks can give us joy and fulfill our goals on commitments towards our communities? ● Are any of them repetitive tasks where we can use AI to save time? Example 3: Task-First: ● What can AI do to help us report our metrics? Mission-First: ● Do our current metrics enable us to track, measure, and report our progress in ways that best serve the community? ● How can AI help track and measure that progress? Example 4: Task-First: ● How do we make sure we’re using AI responsibly? Mission-First: ● How do we, collectively as an organization, act with care, transparency, and ethics on our commitment to our community? ● How do we live those values when we use AI and technology? Mission-first questions can lead to AI solutions that strengthen our promise of community trust and reinforce organizational values. AI can be a powerful ally in this work, but only if we approach it with purpose. In the coming days, I will share more examples in the next edition of Dear Human (the email edition of my newsletter). Sign up via https://lnkd.in/gUK-6M_Y Oh, and the AI Advancement Lab is now open for January enrolment! https://lnkd.in/gVRCHmsk #nonprofits #nonprofitleadership #community

If you’re going to #WDAYRising in Las Vegas, check out our Industry Outlook for #nonprofit leaders and catch up on the latest trends we’ll be discussing at Rising. #TeamWDAY

If you’re going to #WDAYRising in Las Vegas, check out our Industry Outlook for #nonprofit leaders and catch up on the latest trends we’ll be discussing at Rising. #TeamWDAY

If you’re going to #WDAYRising in Las Vegas, check out our Industry Outlook for #nonprofit leaders and catch up on the latest trends we’ll be discussing at Rising. #TeamWDAY

🚀 Boost your nonprofit’s fundraising efforts with data! 🚀 In this video snippet, I discuss how donor lifecycle analysis and donor surveys can provide critical insights to improve fundraising strategies. By combining these tools, nonprofits can better understand their donors and optimize their efforts. 📽️ Watch the full video to see how Grounded With Data can help your organization thrive: https://lnkd.in/eJqkfjd6 #NonprofitLeadership #Fundraising #DataDriven #GroundedWithData

🚀 Are you a nonprofit looking for ways to tap into the power of data to understand your donors and their giving behavior better? ➡️ https://bit.ly/4cnqap2. Imagine uncovering rich revelations about donor trends and preferences, making it easier to connect with your supporters on a more personal level. Thanks to advancements in Machine Learning (ML), nonprofits can now access powerful tools to revolutionize their fundraising activities. Machine Learning is the compass that’s transforming how nonprofits unearth valuable information about their supporters. By leveraging ML, organizations can enhance donor segmentation, uncover critical donor trends, and personalize their outreach like never before. Don't miss out on these insights to elevate your nonprofit’s impact! #Nonprofit #MachineLearning #Fundraising #DataAnalytics

“The sooner your nonprofit gets on board with #AI, the more prepared you’ll be for the future.” - Sarah Tedesco, Executive Vice President of DonorSearch The most popular AI #fundraising use cases for #nonprofits include: ✨ Prospect Research Data Modeling ✨ Multi-Channel Marketing Content Creation ✨ Fundraising Appeal Development ✨ Donor Stewardship Planning and Execution Explore our blog to learn more: heyor.ca/2Nqubq

Momentum's latest report found that the majority of fundraisers are comfortable using AI for some or all donor outreach. This highlights fundraisers' eagerness to adopt time-saving technology 🤖 But, obstacles remain in the realm of personalization. Swipe through the carousel or download The Nonprofit Productivity Report for the full scoop ➡️ https://lnkd.in/gAgE8_CX

AI is revolutionizing fundraising by analyzing donor data to personalize outreach. This isn’t about one-size-fits-all campaigns but creating meaningful connections with supporters based on their giving habits and preferences. With AI’s predictive capabilities, nonprofits can anticipate donor behavior, ensuring the right message reaches the right person at the right time. The result? Stronger relationships, higher donor retention, and more funds to drive their mission forward. #AIInFundraising #DonorEngagement #SmartGiving #FutureOfPhilanthropy

Today is your last chance to receive discounted, early bird registration for our upcoming, online micro-credential course, "Leveraging AI, Data, and Predictive Analytics for Health Equity and Philanthropy," hosted in partnership with DonorSearch, Association for Healthcare Philanthropy, and Marts&Lundy. Over three weeks in February, you will learn how artificial intelligence, data analytics, and predictive modeling can be leveraged to address health equity in fundraising and philanthropic initiatives. Full participation in this course is applicable for 6.0 points in Category 1.B -Education of the CFRE International application for initial certification and/or recertification. Enroll now: https://lnkd.in/eN8cswrs #dei #ai #artificialintelligence #predictiveanalytics #healthequity #healthdisparities #diversity #equity #inclusion #data #dataanalytics #fundraising #philanthropy #inclusivephilanthropy #diversityequityandinclusion #donors #nonprofit #highereducation #healthcare #health #cfre #professionaldevelopment #careerdevelopment