Automating a National Brand's Back Office with Agentic AI
Each job a field team completed created a week of work for the back office. The data was all there. The problem was moving it.
Field workers collected information on every job and stored it as photos in a central database. From there, a back office team manually pulled that information off the photos, entered it into a separate database, and sent it to a supplier. They waited for a quote, completed manual calculations against the specific conditions of each job, then formatted everything into the reports that went to clients. Each step required a person. Each handoff introduced delay. A single job could consume a full week of back office capacity, and that ceiling put a hard limit on how much the company could process at any given time.
The process produced results, but it was slow, labor-intensive, and entirely dependent on manual effort at every stage. There was no way to grow without adding people to do the same work.
We built a custom software system designed to eliminate the manual steps between field data collection and client delivery. The first layer used AI to automatically catalog the photo data from the field and extract it into the database, removing the most time-consuming piece of the intake process. From there, an agentic system took over the rest of the workflow: moving the compiled data to the supplier's database, retrieving the quote, referencing the unique conditions of each job in the calculations, populating the internal database, and generating the full set of client-ready reports automatically.
The entire pipeline ran without back office intervention. The software was built as a proprietary system and delivered to the client under their full ownership, with no ongoing software contract.
The hours recovered were substantial, but the more consequential outcome was what those hours represented: capacity. The back office was no longer the constraint on how many jobs the company could take on. The same team could now handle a volume of work that would have previously required additional headcount, and the company was positioned to grow market share without a proportional increase in operating cost.
They also owned the tool outright. No licensing fees, no vendor dependency, no renewal negotiations. The system was theirs to run and build on.
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