There’s a lot of excitement around what LLMs can do. But when it comes to real enterprise systems — billing, ERP, financial reporting — the bar is different. Creativity isn’t enough. You need reliability.
You can’t “vibe” your way through a data migration. You can’t guess what field maps to revenue. You can’t hallucinate logic and call it an output. And yet, that’s often what happens when you let AI operate without constraints.
At Doyen, we think scaffolds are a big part of the answer.
What’s a Scaffold?
A scaffold is structure. It’s the typed schema, the business-rule DSL, the config template — something deterministic that wraps around the AI’s output. It doesn’t handcuff the AI. It guides it.
Instead of “write me a script to migrate this billing data,” we ask the AI to fill in a structured plan — step-by-step, with validation. That small shift changes everything. The result becomes traceable, testable, reviewable.
Scaffolds help us move from open-ended prompting to predictable behavior.
Why the Enterprise Cares
Enterprise systems demand:
- Auditability — You need to explain what happened and why.
- Repeatability — Run it again, get the same result.
- Compliance — Outputs must follow policy.
- Integration — Legacy systems aren’t forgiving.
These aren’t edge cases — they’re the norm. In these environments, determinism isn’t a bonus. It’s required.
What We’re Learning at Doyen
Our work involves migrating complex financial and billing data. We use AI to accelerate this — but not by letting it run wild.
We scaffold the workflows:
- Business logic is structured and validated.
- Finance teams can express rules without writing code.
- AI agents work inside those boundaries to generate output we can trust.
It’s not magic. But it’s working. And it’s getting better every month.
The Road Ahead
There’s no single trick to making AI enterprise-ready. But scaffolding helps — a lot. It gives us structure, context, and reliability. It gives us something to build on.
We’re not claiming to have solved it all. But we’re learning fast. And we’re doing it in one of the hardest corners of enterprise software.