AuditFlow AI: Process Mapping and Data Quality Verification Layer for Accounting Automation

I stumbled into something similar at my last job, basically became the go-to person for automating the boring parts of our workflow because nobody else wanted to touch it. The partners didn’t understand what I was doing but they loved the results so they just kept throwing more projects at me. You don’t need to be a massive nerd about AI honestly, most of what these firms want is someone who can figure out which manual processes are eating up 80% of the team’s time and slap together a solution that works. The actual technical bar is way lower than you’d think, half the battle is just understanding the accounting side well enough to know what’s actually worth automating. Day to day was a mix of sitting with different teams watching them work, sketching out ugly prototypes, and a whole lot of explaining to managers why the robot didn’t actually replace anyone’s job it just made their job less soul-crushing. The hardest part was getting people to trust the outputs, had one senior who would manually recalculate everything the tool spit out for like three months straight.

I stumbled into something similar at my last job, basically became the go-to person for automating the boring parts of our workflow because nobody else wanted to touch it. The partners didn’t understand what I was doing but they loved the results so they just kept throwing more projects at me. You don’t need to be a massive nerd about AI honestly, most of what these firms want is someone who can figure out which manual processes are eating up 80% of the team’s time and slap together a solution that works. The actual technical bar is way lower than you’d think, half the battle is just understanding the accounting side well enough to know what’s actually worth automating. Day to day was a mix of sitting with different teams watching them work, sketching out ugly prototypes, and a whole lot of explaining to managers why the robot didn’t actually replace anyone’s job it just made their job less soul-crushing. The hardest part was getting people to trust the outputs, had one senior who would manually recalculate everything the tool spit out for like three months straight.

I think AI has created some additional interest but that it also is creating some skillset mismatches. To be honest automation in finance was super doable before AI but businesses didn’t focus on it. Now what I see is people who are bad at automation trying to AI the problems away. If you want to automate the skillset is: 1. Map the process 2. Understand the data and the data QUALITY 3. Deploy the automation and train the users. There’s a lot of “press Claude” automation going on right now but I suspect that is just papering over some pretty fundamental issues of data quality, process understanding, and the time necessary to do good work. The best thing about automation is you don’t have to fuss over the validations cause you know the system is performing as expected. I think these Claude automations people are spinning up are really just taking the same time to edit what you used to create