Nonprofits are being asked to do more than ever, often with the same or fewer resources. Budgets are tight, teams are lean, and reporting expectations continue to grow.
AI is one of the first technologies I have seen that can meaningfully help address that challenge. Not by replacing people, but by helping your team move faster. They produce more consistent work and spend less time on repetitive tasks that do not directly advance your mission.
For many organizations, the opportunity is closer than it seems. Most nonprofits already have access to AI today. It is built directly into tools they are already using, including Word, Excel, Outlook, Teams, Power BI, and Dynamics 365.
As a Microsoft partner, many of the examples here come from Microsoft tools. We often see nonprofits get started here, but the broader idea applies regardless of platform. The advantage usually comes from starting with tools your team already knows, where your data already lives, and where security and permissions are already in place.
You don’t need to buy a new system or change how you work. Organizations find success by starting small, focusing on practical use cases, and building from there.
One of the biggest misconceptions about AI is that it requires a major investment or a complete shift in systems. In most cases, the opposite is true.
The fastest way to get value is to start with tools your team already uses every day. For many nonprofits, this means Microsoft 365. For others, it might be Google Workspace or another platform with built-in AI capabilities.
Either way, the advantage is the same:
That combination removes much of the friction that typically slows down adoption and makes it easier to build early momentum.
At a basic level, AI in these tools acts as an assistant. It helps to take the work you have already started and make it faster, more consistent, and easier to complete.
In practice, this shows up in simple, everyday ways.
A rough set of meeting notes can become a clean, structured summary with clear action items. A draft document can be rewritten to sound more polished and consistent. A spreadsheet that would normally take time to clean and analyze can be organized and turned into something meaningful much more quickly.
Tools like Microsoft Copilot support this work directly within Word, Excel, Outlook, and Teams. They can help draft emails, highlight next steps, and bring structure to work that would otherwise be manual and time-consuming.
Individually, these improvements may seem small. Across a team, they add up quickly.
If you are not sure where to start, a simple approach is to ask Copilot how it can help. It can guide you in structuring prompts and improving results over time.
One of the biggest shifts I am seeing is the move from experimenting with AI to using it more consistently across a team.
Most people start by asking one-off questions and hoping for a good result. That works, but it is inconsistent. The real value comes when organizations begin to define how AI should be used for common tasks.
Instead of reinventing the wheel every time, teams create reusable prompts for things like grant writing, donor communications, meeting summaries, and financial analysis.
Over time, this becomes a small internal library that anyone on the team can use. It reduces training time, improves consistency, and gives people a reliable starting point rather than asking everyone to figure it out on their own.
Stories like Kenny's and Sienna's are not just about new products. They highlight a shift in how we work. We are actively delivering AI-powered solutions to our clients rather than simply discussing AI's potential.
From 425 BC MigrationPRO streamlining data transitions to executives getting instant insights through Business Central's natural language chat, AI is helping us:
The Microsoft partnership amplifies this impact. As autonomous agents manage more sales orders and match invoices, AI helps speed up app development. This gives our clients advantages that go beyond traditional ERP features.
AI is here to stay and 425 Consulting is using it to improve our products and services for clients.
These are the kinds of tasks where AI can make an immediate difference:
Individually, these improvements may not seem dramatic. Across a team, they can free up a meaningful amount of time.
For finance teams, the impact of AI goes beyond saving time. It improves accuracy, strengthens internal controls, and supports audit readiness.
In practice, that often looks like:
Across accounts payable, this means fewer errors and better control. Across accounts receivable, it leads to faster collections and clearer communication.
Individually, these improvements save time. Together, they create more consistent processes, stronger oversight, and a more reliable financial foundation.
As teams become more comfortable using AI in their daily work, the next step is automation.
This is where tools like Power Automate, Power BI, and Power Apps come into play. They allow organizations to reduce repetitive processes and surface insights from data more consistently, without requiring large development efforts.
For example, a donor acknowledgment email can be triggered automatically after a contribution is received. Reports can highlight trends or outliers without requiring manual analysis. Simple applications can streamline tasks like volunteer coordination or expense tracking.
These improvements build on the tools teams already use but extend their impact in a meaningful way.
AI adoption does not need to be complicated, but it does need to be intentional.
A few simple guidelines to keep in mind:
These practices help ensure AI is used in a way that is both effective and responsible.
You do not need a large rollout plan. Start small and build from there.
A simple four-week approach can help you begin:
Small wins build momentum quickly and help teams build confidence using AI in everyday work.
AI is not about replacing your team. It is about helping them operate at a higher level with the resources you already have.
For nonprofits, this means less time on repetitive tasks, more consistent output, better visibility into operations, and more time focused on the mission itself.
The organizations that get the most value from AI are not the ones that try to do everything at once. They are the ones who take a practical approach, start with what they already have, and build from there.
As organizations start putting these ideas into practice, having the right support can make a difference. At OTS, we work with nonprofits to apply these ideas practically, helping teams identify quick wins and get more value from the tools they already use.
This article is written by Rich Berry, CEO of 425 Consulting Group and Co-Founder of Boyer & Ritter OTS—helping organizations get more value from their systems, data, and teams.
In 2014, Rich co-founded 425 Consulting Group to bring large enterprise experience in business processes, systems, and business intelligence to small and medium-sized organizations. He is a multidimensional professional with extensive experience in accounting, financial management reporting, and corporate accounting systems.
If you want to learn more about 425 Consulting Group can transform your business, please contact us.
