Funny you mention that — we ran into something similar when trying to streamline invoice processing. The finance team was bogged down with manual checks, so we tested a machine learning model to classify and flag anomalies in real time. It took a bit of tuning, but after a few weeks, error rates dropped, and the whole workflow became smoother. If you’re exploring more ideas around this, I came across a great resource at https://agileengine.com/ai-studiо/ that covers how companies use ML in different areas, from logistics to HR. We took a few ideas from there and adapted them to our setup — helped us figure out what was realistic versus overkill.