A couple of years ago I wrote that “prompting” would become a core skill for finance teams. With AI now embedded directly into AP automation, prompting alone isn’t enough. The real shift is toward context understanding.
What do I mean by that?
Modern AP automation is no longer just rules and workflows. We’re now working with LLMs and AI agents that can interpret, decide, and act. That changes the role of the user. The value is no longer in clicking the right buttons or even writing the perfect prompt, it’s in bringing the right context into the process.
AI can read an invoice. It can match it. It can even suggest coding. But it doesn’t inherently understand your business, your exceptions, or the nuances of how things actually work in your organization. That part still comes from people.
So the skill is shifting. The best AP professionals won’t be the ones who know the system inside out, they’ll be the ones who know how to guide the system with context:
- What matters in this specific situation
- What exceptions are acceptable
- What “normal” actually looks like in your business
That’s where domain knowledge becomes critical again, just in a different way.
At Dooap, this is exactly what we’ve been building toward with our AI Automation Studio. Not another layer of complexity, but a way to bring human context into AI-driven processes without turning everything into a technical project.
Finance teams don’t need more tools. They need systems that understand how they work. AI is not replacing AP professionals. But it is raising the bar for how they contribute. Context is the new interface. And those who can provide it clearly and consistently will get all the benefits.
