AI Enablement
Build vs. Buy: Financial Reporting Automation
AI tools can now write working code fast. A prototype that used to take months takes days. That only changes how fast a team can start. It says nothing about what happens after the first version ships.
Every line of code becomes something someone has to maintain and support, whether AI wrote it or your team did. The developer who understands all of it eventually leaves or changes roles. Whoever replaces them spends weeks untangling what already exists before making a single change.
Authentication. Permissions. Source control. Security patches on a timeline you don't control. Every API that changes on the vendor's schedule, not yours. None of this shows up in the first version. All of it shows up in the months and years after.
Is building and maintaining an AI reporting layer a capability your organization wants to own permanently? If the answer is no, the decision is already made.
A platform built specifically for this problem. Live in days, not months. When the underlying AI model changes, that's not your maintenance ticket. When a planning system updates its API, that's not your weekend.
Whichever way Finance goes, the standard doesn't change: AI has to answer only from reports Finance approved, with a record of every interaction. Building that standard from scratch is a bigger project than most teams expect. Buying it already built is the other option.
The full cost comparison, including where the expense actually shows up over time, is in the Build vs. Buy one-pager.
Earlier in this series: give your AI a shorter leash, starting with what Finance already approved.
To see what buying it already built looks like against your own reports, take a look at AI Enablement.
Finance stays in control.