My head of operations wants to hire a costly specialized agency to build a custom AI tool for our client reporting. How do we run a low-cost, low-code pilot using basic API connections first to validate the operational improvement before writing a massive check?

Question

Tyler Smith · Accepted Answer

Never write a large check to a software agency for a custom build before you have validated the workflow. Most custom software projects end up as expensive science experiments that fail to deliver a real return on investment.

Instead, run a low-cost pilot using basic, low-code tools. Have your operations team map out the exact steps of the client reporting process. Identify where the data is pulled from and what the final output must look like.

Use simple, existing tools and basic API connections to link your databases to a standard language model. Have a manager manually run a small batch of client reports through this setup to see if the AI can accurately compile the data and draft the summaries.

This pilot should take days, not months, and cost very little. If the low-code test successfully cuts reporting time and produces accurate results, you have proven the business case.

Only then should you consider investing in a custom tool. Often, you will find that the low-code solution is more than enough to handle your needs, saving you tens of thousands of dollars.

By insisting on a pilot, you keep your team focused on operational improvement rather than tech theater.