There's already a whole industry of no-/low-code platforms that try to solve that very problem, Airtable etc. And a lot of companies have been very successful adopting them… or the last half dozen waves of digitalization.

But in my experience, there's some hard to solve bottlenecks for those sorts of organizations that still insist on largely paper-based workflows:

1. Their workflows are such a byzantine mess that either nobody understands them sufficiently to explain them (be it to a programmer, or to a no-code platform, or to an AI), or they're fundamentally broken and only fudged along by people who shouldn't be allowed to do their job, if the process was implemented "correctly"… or both.

2. It takes a special breed of people who have the necessary analytical skills to really pull off architecting automated workflows that work in practice. It comes natural to some managers and consultants, a lot of programmers, and a bunch of others, but it's not a widespread skill, and those individuals know their worth. People who already can't conceptualize the underlying problems won't be able to do so with the help of AI any time soon.

3. It still takes budget to implement such workflows, AI or not, and the affected orgs usually don't want to spend any money on improving themselves.