When we asked a room of Not-for-Profit Senior Executives, where they thought AI would create the most mission impact over the next 12 months, the answer wasn’t what we expected. It wasn’t fundraising bots or donor facing AI.
35% of Senior Managers from Australian Not-for-Profits* said AI for Reporting, would create the most mission impact opportunity over the next 12 months.
At first glance, reporting feels like a safe, perhaps even “boring” choice. But when you dig into the operational burden most Not-for-Profits teams face, that answer makes perfect sense.
*Walkerscott held a Not-For-Profit Executive Roundtable event on 18 March 2026. An exclusive, invite-only roundtable discussion co-sponsored by Walkerscott and Microsoft in Australia. n=17 senior Not-for-Profit leaders.
AI for Reporting, the low risk, high visibility AI project
Let us explain. The appeal of AI in fundraising is pretty obvious: personalised donor journeys and automated outreach at scale. But these are also high stakes areas. In the Not-for-Profit sector, donor relationships are the lifeblood of the organisation. The cost of a misjudged, AI-generated communication that erodes trust is very real.
Reporting sits on the other side of that risk calculation. It is largely internal. Your team reviews the output before it ever reaches a donor or a board member. It’s measurable, the analysis is either accurate, or it isn’t.
Reporting is where your best people are currently being “taxed” by manual work.
It’s end of month, or end of quarter or annual report time, how many of these ring a bell?
- Pulling numbers from disconnected systems (CRM, Finance/ERP, Marketing Platform/s etc.)
- Manually reconciling spreadsheets.
- Assembling board packs.
None of that is where your team adds their greatest value.
What AI for Not-for-Profit Reporting actually looks like in practice
Using AI for reporting isn’t about handing the keys over to a bot. It’s about reducing the “assembly time” so your team can spend more time on “interpretation time.” Used well, AI for Reporting can:
- Summarise trends, it can instantly compare periods and flag anomalies.
- Identify segments and suggest donor groups worth a closer look.
- Draft the narrative, turning raw data into a first draft that a human then refines.
When a Fundraising Manager gets those hours back, they have more capacity for other things, like better campaign planning. When a CFO gets a clearer picture sooner, they can act earlier rather than responding to a backward-looking summary two weeks after the month has closed.
Building the “AI Muscle”
Reporting is the perfect “training ground” for your organisation. The skills that matter most with AI aren’t actually technical; they are the habits of asking better questions, checking sources, and reviewing outputs critically.
It is also the best place to establish data safety protocols. A key part of building “AI muscle” is recognising that not all AI is created equal. While consumer-grade tools (like the free version of ChatGPT) are great for brainstorming, they should never be used with sensitive donor data, or Personally Identifiable Information (PII). Reporting projects should always be conducted within a controlled, enterprise-grade environment where your data is protected and not used to train public models.
Using AI for Reporting requires a solid foundation.
AI reporting is only as good as the data it draws from, and the security layer protecting it.
If your donor history, campaign activity, and finance data live in three different systems that don’t speak to each other, AI will simply reflect that fragmentation with a very confident, but wrong, answer. But if you try to fix that by uploading exports into an external, unsecured AI tool, you risk a significant data breach. So where do you start this project?
For many Not-for-Profits, the real “Step One” is platform consolidation within a secure ecosystem. Having your data in a system designed for the sector – like Klevr Fundraising – provides the consistent definitions you need. Because Klevr is built natively on Microsoft Dynamics 365, it inherits enterprise-grade security. The Klevr IQ agents are deployed directly within your own secure environment, ensuring your donor data remains yours, protected by the same governance that guards your entire organisation.
Building your AI reporting foundation and project with Walkerscott
We specialise in helping Not-for-Profits move past the manual “assembly” of reports and into a world of real-time clarity.
Our Klevr Fundraising platform is a secure, scalable CRM built natively on Microsoft Dynamics 365. By unifying your donor, grant, and finance data into a single environment, it eliminates the fragmented “spreadsheets” that currently drain your team’s time. It’s about creating a “single source of truth” that makes board reporting and campaign analysis a matter of clicks, not days worth of work.
To help you realise the true potential of your data, we’ve introduced Klevr IQ for Not-for-Profits, a Microsoft-native AI enhanced with specialised agents designed specifically for the NFP sector. Whether it’s automating your monthly performance summaries or using natural language to discover deep donor insights, our goal is to help your team stop compiling data and start acting on it.
Request a demo of Klevr Fundraising
Frequently Asked Questions about using AI for Reporting
What are the biggest AI opportunities for Not-for-Profits in 2026?
Currently, many organisations are using AI for “quick wins” like drafting donor communications, generating social media content, or summarising meeting notes. While these are great for individual productivity, the most significant organisational impact is found in internal reporting and analysis. By using AI to handle the manual “assembly” of data, teams can recover up to 10% (maybe more) of their capacity for higher-value strategic work. However, these opportunities must be balanced with security; the biggest long term wins come from deploying AI within a secure, governed environment that protects sensitive donor data.
What is the safest way for Not-for-Profits to start using AI within the organisation?
The most dependable starting point is through consolidated, integrated systems rather than fragmented “bolt-on” tools. Using at an organisation level AI – like Klevr IQ for Not-for-Profits, ensures that the technology is deployed directly within your own protected ecosystem. This “secure-by-design” approach means your data isn’t used to train public models. By choosing a Donor Management CRM platform like Klevr Fundraising built natively on Microsoft Dynamics 365, NFPs can innovate with confidence.
Is using AI to generate Not-for-Profit reporting safe?
Yes, provided you follow two key principles: Enterprise Security and Human Oversight. First, avoid uploading donor data into consumer grade tools; instead, use embedded tools like those in Klevr Fundraising CRM, which are ISO 27001 certified and kept within your private cloud. Second, always keep a “human in the loop”. AI should be used to draft the narrative and flag trends, but a human assessor should always provide the final sign-off to ensure the context and judgment remain aligned with your mission.