Major Gifts at a Non-Profit: How a Data Foundation and an AI Agent Could Give Your Team Their Week Back
This is the third post in our Fundraising Intelligence series, a five-part look at how non-profits can turn siloed data into faster donor and campaign decisions with a strong data foundation and AI agents. The second post, on the 3 technology integrations at a non-profit that unlock smarter fundraising, lives here.
Many major gifts teams face the same underlying tension: their roles are for relationship work, but the work that fills the day can be something else.
Giving history is in the CRM. Wealth signal is in whatever screening tool the organization uses. Engagement lives across the events platform, the email tool, and the meeting notes. Program impact data lives somewhere else again. Assembling those into a coherent briefing, a proposal, or a stewardship touch is, in many development offices, where the team’s hours go. None of that assembly work is the donor conversation. All of it stands between the team and the donor conversation.
That tension shows up in the broader operational picture too. The 2025 Pulse of Donor Relations Report, an industry survey of more than 1,000 donor relations professionals, names a few patterns worth sitting with. More than 60% of donor relations teams operate with fewer than three full-time staff members. Over 90% of institutions send acknowledgments, but fewer than 60% offer personalized impact reporting. And donor behavior data is being used to shape engagement by only a fraction of teams.
The data exists. The hours to do something with it do not.
At the same time, the donor pyramid that major gifts work depends on has been changing. CCS Fundraising’s 2025 Philanthropic Landscape Report tracks the trend. The top 50 donors in the US gave $16.2 billion in 2024, up 32% from 2023, with mid-level and major donors continuing to "punch above their weight" as a small share of donors producing a disproportionate share of total revenue. As that concentration grows, the prep behind each major-gift conversation carries more weight too.
Where a data foundation and an AI agent could help
Those pressures have less to do with effort than with where the information lives, and how long it takes to pull together. That is the part a different setup could change. It starts with two pieces worth separating, because they are easy to blur together: a data foundation, and an AI agent.
A data foundation is a single, governed layer where the systems that hold the donor story (CRM, finance, marketing automation, events, and program outcomes) flow together into one consistent view. Instead of giving history in one tool, a wealth signal in another, and engagement notes in a third, the record could live in one place, with one shared definition of what “donor,” “active,” and “lapsed” mean across the organization.
An AI agent is software that can read from that foundation and take on the assembly work on request, in plain language. Ask it for a donor brief, a first draft of a case-for-support, or the stewardship cadence for a given donor, and it could pull from the governed record and return a draft. Not the final word, but a starting point.
The two depend on each other, and the order matters. The foundation gives the agent one trusted, consistent source to reason over; the agent turns that source into something a person could use in minutes. Without the foundation underneath it, an agent could only guess across systems that do not agree. Data as the foundation, AI as the layer on top.
With that ordering in place, the work could divide along a recognizable line: what the agent can assemble, and what only the team can do.
The assembly work could move to the agent. Pulling together what the donor record already contains. Drafting a first version of a case-for-support from current outcomes data. Surfacing donor history, campaign engagement, and program impact in one view rather than five.
The relationship work stays with the team. The conversation. The voice and pacing of the ask. The judgment about timing. The discretion about what to include and what to leave for the next meeting. The knowledge a donor wants to be approached a particular way because of something an officer learned years ago and never wrote down.
For the non-profit Executive Director, President, or CEO reading along, the broader implication lands at the board table. The same CCS report names workforce trends and talent retention as one of the sector’s top strategic priorities for 2026. A team whose week consists more of what they were hired for, and less of what they were not, is one practical change that could affect retention without requiring expanded headcount.
How non-profit major gifts teams could close the gap
One option for that data foundation is Microsoft Fabric, Microsoft’s AI-powered data and analytics platform that unifies data and services from across an organization into one governed view. Fabric does not require a non-profit to be running on Microsoft systems to bring those systems together: Raiser’s Edge NXT, Salesforce Nonprofit Cloud, Bloomerang, DonorPerfect, NetSuite, and other source systems connect through pre-built pipelines alongside Microsoft Dynamics 365 and other Microsoft systems. Microsoft recently added a non-profit-specific layer to Fabric: a sector data model, constituent 360, donor segmentation and journey mapping, and campaign and channel attribution against the same governed dataset.
An AI agent to layer on top of that foundation is HSO’s Fundraising Intelligence Agent. It reads from the governed dataset to assemble the briefing, draft the case-for-support from current outcomes data, and flag the stewardship cadence from the donor record. The agent does not store its own data, run its own governance, or learn from a separate set of facts. Everything it returns traces back to the same governed Fabric layer the finance and program teams already use. AI as a layer, data as the foundation. That ordering is what could make the 80/20 line operational at the major-gifts desk and defensible at audit time.
See it in Action: Microsoft Fabric & HSO's Fundraising Intelligence Agent
The on-demand webcast "Fundraising Clarity, Faster: How Non-Profits Can Turn Siloed Data into Smarter Donor and Campaign Decisions" walks through the data foundation and the AI agent layer end to end for fundraising and donor-relations teams: the non-profit data model, constituent 360, donor segmentation, campaign and channel attribution, and the AI-as-layer / data-as-foundation pattern that closes the gap between what officers were hired for and what fills their week.
What this changes for your major gifts team
Major gifts work can be part craft, part assembly. The craft is the conversation, the proposal narrative, the year-five stewardship touch that turns a major donor into a planned-gift donor. The assembly is the briefing prep, the foundation research, the cadence-keeping. With the data foundation closing the latency between the donor record and a coherent briefing, and the agent drafting the assembly on top of it, that work could move off the team’s plate and stay there. The craft the team was hired for could become more of what the week looks like, and the donor relationships that depend on it stay intact through the cycles where they otherwise would not.
Next in the series: where personalization breaks for campaign teams, and what changes when segmentation stops being a three-week ticket.