A statement arrives named “img_4471.pdf.” No household name, no account number, nothing that tells the transitions team who it belongs to.
Someone has to open it to find out. Then check whether it is a full statement or a partial page. Then match it to a household. Then manually key the account data into Salesforce. Multiply that by every file arriving across a transition involving dozens of households, statements landing in batches, across days, from custodians, from advisors’ personal drives, from whoever happened to forward what. Each one stalls at the same first step: someone has to open it before anything else can happen.
The tracking usually lives on a spreadsheet, updated by hand when someone remembers to. Ask the transitions lead which households are ready to open today, and the honest answer is: give me a few minutes to check. That question should have a live answer. Instead it requires pulling up a spreadsheet and working through it row by row, while accounts that are actually ready sit waiting because nobody has confirmed they are ready.
The account data is not missing. It is sitting inside files nobody has systematically processed yet.
LEA automates that intake pipeline, from the moment a file lands to a populated Salesforce record. Every statement gets classified, its data extracted, and the household record updated without anyone touching a keyboard. A parallel tracker shows which households have submitted and which are still outstanding, maintained automatically instead of by whoever remembers to update the spreadsheet.
The transitions team stops searching for status and starts working from it. Salesforce reflects where every household actually stands. The accounts ready to open are visible the moment the last statement arrives, not discovered a day later during a manual check.