I’m evaluating whether we should try to build our own ROI calculator for our automation initiative, or if we need to bring in a developer. The context is that our finance team has a pretty clear vision of what they want to measure: time saved per workflow, cost reduction, and headcount impact over 12 months.
The challenge is that I’m not technical, and our developers are already overloaded. We’ve been told that newer automation platforms can take a plain English description of what you want and generate a working workflow from it. I’m skeptical but also intrigued—if that’s actually true, could we describe our ROI requirements in plain text and have the system generate something usable?
I’ve tried no-code tools before and they usually require some customization anyway. So my real question is: how much rework are we actually talking about? Can you really describe a business process in plain English and get something production-ready, or is that more marketing speak than reality?
I tried this exact thing last year with a lot of skepticism. We wrote up what we wanted in a Google Doc and fed it into a workflow generator. Honestly, I was shocked at how close it got.
The first pass wasn’t perfect, but it was maybe 80% there. The major logic was right—pulling data from our CRM, calculating time saved, feeding it into a financial model. But the details needed tweaking: field names were slightly off, some calculations needed adjustment, and the output format wasn’t quite what finance wanted.
The key part though is that the rework wasn’t the kind that requires a developer. It was more like going into the generator again, saying “use the department field from the finance system instead of the CRM field” and letting it adjust. Took maybe a day of back and forth.
Where it really saved time was avoiding the whole “explain requirements to a developer, wait two weeks, get something that’s not quite right, iterate” cycle. The plain text approach let us iterate fast.
We went down this road and here’s what actually happened. The system generated a workflow that covered about 70% of what we needed. The core calculation logic was solid, but integrations were incomplete and the data flow didn’t quite match our actual system architecture.
What surprised me is that the parts that were hardest for us as non-technical people—the logic and data relationships—the generator got right away. The parts that were tedious—connecting to our actual databases, mapping field names, formatting output—those still needed some help.
We ended up with a hybrid approach. The generator handled the framework and business logic. Someone with just a tiny bit of technical knowledge could then wire up the data sources. Not a full developer, but someone who understands spreadsheets and basic SQL.
So to your question: can you get something usable from plain text? Absolutely. Can you get something perfect without any technical involvement? Probably not, but you might only need 10% of a developer’s time instead of 100%.
Plain text generation for workflows has gotten genuinely better, but the question you should ask is more specific: what percentage of rework is worth avoiding the upfront developer time?
In most cases we’ve seen, the generator handles the happy path well. Your core ROI model, the main calculations, the data flow assumptions—those come through pretty clean. Where it struggles is edge cases and integrations.
For an ROI calculator specifically, this is actually one of the easier use cases because the logic is relatively straightforward. Finance needs data in, calculations applied, results out. That’s simpler than something like coordinating multiple systems with complex error handling.
If you describe your requirements clearly—meaning, you include details about data sources, calculation steps, and output format—you’ll probably get 75-85% of the way there without rework. The remaining 15-25% usually involves tweaking integrations or adjusting calculations based on actual data patterns.
My advice: try it. Spend a few hours writing a really detailed description of what you want, generate the workflow, and see what comes back. The generator gets better the more specific you are about inputs and outputs. If it comes back looking usable, you’ve saved yourself weeks. If it needs significant work, at least you have a blueprint to hand to a developer, which is still faster than starting from scratch.
yes but expect 20-30% tweaks. generators nail the logic but struggle with integrations. try it first, see what you get back.
describe requirements in detail, let the generator build the framework, then validate against actual data sources before calling it done.
I had the same doubt. We described our ROI requirements—metrics, data sources, calculation steps—in a document and had the AI generate a workflow from it.
First pass came back at probably 85% complete. The business logic was solid. The calculations were right. The main work was connecting it to our actual CRM and finance system fields.
Here’s what really worked though: because it was all in the platform already, when we needed adjustments, we didn’t need to wait for a developer or restart from code. We could adjust the workflow directly. Changed a calculation? Took minutes. Needed a different data source? Just rewired it.
The thing that sold me is that the workflow was actually in use within a week, feeding ROI numbers to finance. With a developer, that would’ve taken a month minimum. And we could keep iterating as finance’s questions changed.
If you’re worried about plain text generation, just know that the best platforms let you adjust and refine what comes back without needing a developer for every small change. Spend an hour describing what you want clearly, generate it, and iterate fast. https://latenode.com