At 9:42 PM, the dashboard was green. Two hours remained until the SLA deadline, and the Operations team was feeling confident. That is, until the job Conciliación_Interna got stuck waiting for a lock in the accounting database. One minute. Three. Five. The critical path turned red like a traffic light in downtown at rush hour.
If you’ve ever been through a banking closing, you know what comes next: Slack blows up, someone suggests pausing the ETL queue “just for ten minutes,” Treasury asks for the regulatory report, and without anyone saying it, the worst enemy of any closing emerges: reprocessing.
This isn’t a hypothetical story. It happens. It happens when we assume that “because it worked yesterday, it will work today.” It happens when we add a “harmless” job, when card volume spikes 18% due to month-end, when someone locked the database for overnight maintenance “that wouldn’t affect anything.” It happens when we arrive at the closing just to find out.
But at Accusys, when we built ProBatch, we asked a different question:
What if we could see the bottleneck before the batch run even starts?
Predictive simulation before execution isn’t a fancy graph or a magic estimate. It’s a full dress rehearsal using your actual batch flow, dependencies, timing history, and resource limits.
Before hitting “Run,” ProBatch sets the stage:
And then it shows you something that changes your night: the projected end time—and more importantly, where it will break if you don’t act.
Let’s go back to the 9:42 PM story—but this time, with a simulation. At 7:10 PM, the team ran the rehearsal. Two alerts popped up:
With that information, the team made two simple decisions before the clock started ticking:
Result: the forecast updated. The projected end time turned green again. And most importantly: no reprocessing. There was no heroism. Just proactive management.
Con esa información, el equipo tomó dos decisiones simples antes de que el reloj corriera:
Closings don’t fail because teams don’t know—they fail because uncertainty creeps in through the cracks: changing volumes, hidden dependencies, shared resources. ProBatch’s predictive simulation flags this uncertainty before it becomes an incident.
And yes—it also means sleeping a little better.
At Accusys, we live the banking world from the inside. We built ProBatch for complex batch flows, where COBIS, ETLs, reconciliations, and regulatory reports must coexist in tight spaces and short nights. Simulation isn’t an isolated module—it integrates into everyday operations:
The goal? 🎯 Making “no reprocessing” the standard for banking closings—not the exception.
We prefer metrics that change behavior—not just decorate slide decks:
If we measure right, we improve for real.
There’s always an objection: “ours is different—we’ve got old integrations, weird peaks, handmade stuff.” Perfect. The more heterogeneous your batch flow is, the more valuable simulation becomes.
ProBatch doesn’t ask for an “ideal flow”—it works with what you have: tagging resources, learning from history, modeling dependencies, and tolerating exceptions. The rehearsal takes place on your stage, not in a lab.
This isn’t theory. These are three practices we’ve seen make all the difference:
Some nights deserve applause—the best ones don’t make the news. ProBatch’s predictive simulation doesn’t promise miracles; it promises predictability. And in critical closings, predictability is a competitive advantage.
If you’ve read this far, you already know how the 9:42 PM story ends:
No heroics. No panic chats. No Monday morning justifications.
Just a closing. On time 🕒
If you want to rehearse your closing before it happens, we can review your current batch flow and show you where your next bottleneck is—before it exists. Let’s talk.