Work Queues and Parallelization: Why a POP Pt 4

When we set out to build our Production Optimization Platform, we knew that the mortgage industry had to be reimagined. This reimagining spanned from the borrower’s experience to the underlying architecture.

We are excited to share Part Four of this five-part journey into why we built a POP, with the fourth segment focused on queue-based workflows and parallelization.

The Industry Problem:

Legacy systems are built around stages. Loans can only move forward when the current stage is complete. This forces your team to wait, even if someone else could be working on a different part of the file right now. When volume increases, or the process is forced to move backwards, cycle times balloon.

It’s a stop-and-start model that’s completely out of step with how modern industries operate. When work can’t move forward in parallel, everything takes longer and costs more.

What Makes Our POP Different?

Charlie’s architecture supports queue-based workflows that enable parallelization. That means work is dynamically assigned to queues based on skillsets where a team of individuals can pick up work as soon as it becomes available.

Activities can run concurrently across teams
Whether it’s borrower follow-up, asset review, or initial disclosures, Charlie allows these tasks to be completed at the same time by different team members (or automation).

Each activity has a queue
There’s no need to “push the loan forward.” Activities flow into user-specific queues based on skillset, availability, and workload.

No artificial dependencies
Charlie doesn’t require you to wait for one section of the loan to finish before beginning another. It surfaces tasks as soon as they’re ready, based on real conditions and logic.

So What? Why Does Parallelization Matter?

Speed – It is easier to get work done closer to the time it is ready. As work becomes available, it is able to be picked up by the next available resource rather than waiting on an individual.

Capacity – Your team can absorb more volume without increasing headcount, simply by using time more efficiently.

Visibility – Managers get a live view into the health of their work queues. It becomes much easier to flex resources to help with a specific type of activity rather than the alternatives of either letting cycle times balloon or going through a hire/fire cycle to meet demand.

With queue-based work and parallelization at the heart of Charlie, you’re no longer stuck waiting on a stage to finish. You’re free to run a faster, more efficient operation where every minute counts.