"Our team spends hours on repetitive, high-volume processing."
It's a familiar bottleneck: a process that's well understood, rules-rich, and high-volume, the kind of work that's straightforward for a person to do once, and punishing to do hundreds of times a week. The usual fix is headcount. But headcount doesn't scale as fast as application volume does, and it doesn't get cheaper.
This case study looks at what happens when that kind of process is redesigned around an orchestrated team of AI agents instead with a human still reviewing every exception.
+ The Challenge
A non-bank lender's Lite Doc loan applications were being manually screened by analysts, with each application taking 25–30 minutes to review. That's not a small inefficiency at volume, it's a hard ceiling. The only way to process more applications was to add more analysts, and that cost and hiring lead time capped how fast the business could actually scale, regardless of demand.
+ The Solution
Rather than automating the process end-to-end as a single black box, the workflow was redesigned around an orchestrated agent "cohort": each agent owns one facet of the screening process, a coordinator assigns and sequences the work, and anything that doesn't clear automated checks surfaces to a single human review screen.
Nothing gets approved without a human decision on the exceptions. The automation removes repetitive screening work, not judgement calls. The solution was built model-agnostic on OutSystems / low-code and integrated directly into core systems, rather than sitting alongside them as a separate tool.
+ The Results
+ 64 automated checks running across 5 facets plus AML screening — identity, income, loan, securities, and serviceability replacing manual, one-by-one review of each application.
+ Human-in-the-loop preserved by design: exceptions route to a single review screen, so scaling the process doesn't mean scaling out oversight.
+ A path to scale without proportional headcount growth: the 25–30 minutes of manual review time per application is the baseline this workflow was built to remove.
+ Pilot delivered in weeks: proof of value didn't require a long build cycle before the business could see it working.
