The Real Cost of Building Technology

As AI becomes ever more capable, I've overheard a lot more conversations about 'building tools' over the past year. Whether it's universities, healthcare foundations, community foundations, these conversations almost always start the same way.

"We could just build that."

On paper, building in-house looks appealing. You get full control. You avoid a vendor contract. Your IT team is already on staff. It feels like the fiscally responsible choice.

The real problem is that the risks of building it yourself don't show up until after year one. They surface later, when the fixes are far more disruptive and far more expensive.

What going it alone actually costs

The pattern I see is remarkably consistent - these are the most common challenges.

1. Time: It always takes longer than you planned.

In-house builds commonly take five to ten years to reach parity with a purpose-built platform. That's most of a decade spent building infrastructure instead of using it, while the organizations that bought are already reporting to donors.

2. Expertise: Teams are staffed for fundraising, not product management.

The people you brought on to manage compliance and steward donors end up writing feature requirements, beta testing releases, and debugging reports. Every switch from stewardship mode to figure-out-the-system mode costs focus, not just staff hours.

3. Scope: Building for today's needs, but forgoing tomorrow.

Internal builds get scoped to the most urgent need, and the rest usually gets deprioritized or pushed to the infamous 'phase two'. By the fifth year of down-scoping, the gap between feature needs and feature capabilities widens and strategic capabilities are lost.

4. Knowledge: A single source of institutional knowledge is a risk.

Nearly every build ends up depending on one person who "knows how it all works." Your institution will outlast any one employee. When that person leaves, the knowledge leaves with them.

5. The queue: Requests and updates are a constant need.

Fixes and features compete with every other department in the IT backlog. Requests pile up. People stop submitting them. The people who should be improving how you serve donors end up building workarounds for the software.

6. Trust: Once fund managers stop believing the system, they stop using it.

Ultimately, a system that doesn't deliver consistently loses its internal supporters. Once that confidence is gone, it's very hard to win back, and it colors how the whole organization feels about the software.

7. Cost: The cheapest option rarely stays that way.

Building looks cheaper because its costs are spread across budgets nobody adds up: developer salaries, staff hours pulled from stewardship, ongoing maintenance, the rebuild when the original developer leaves, and the manual workarounds in between. A purpose-built solution shows up directly on the bottom line, but that also gives you the real cost and ROI, compared to the invisible costs incurred building internally.

In the end, choosing purpose-built infrastructure is often the more effective and better return-on-investment when accounting for all of the above.

Where FundMiner fits

FundMiner was purpose-built for fund management and donor reporting: infrastructure designed for the people doing the work, plus implementation teams whose job is making it stick inside your organization.

Learn how you can spend funds, deliver impact, and send reports, all inside FundMiner.