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How to modernize bank batch processing without stopping the close

Scattered scripts, 20-year-old engines and failures nobody sees until the next morning. What we learned moving a top-6 Ecuadorian bank's batch to centralized orchestration.

A growing system, a fragmenting batch

Ecuadorian banking is expanding: private banks closed 2025 with more than US$76 billion in assets, up 11.2% year over year, and deposits grew 14.2%, according to Superintendency of Banks figures reported by Forbes Ecuador. More customers, channels and products mean more batch jobs, more integrations and ever-tighter close windows.

The problem is that batch is rarely redesigned at the same pace. Pieces get bolted on: a script here for a new report, another there for a new partner. Over the years a familiar pattern emerges:

  • Implicit dependencies. Process B assumes A finished successfully, but nothing checks.
  • Fragmented visibility. Knowing how the close is going means checking several servers, logs and emails.
  • Silent failures. A job that crashes at 2 a.m. is discovered at 8 a.m.
  • Concentrated knowledge. Only two or three people understand why things run in that order.

That is what our client in Guayaquil was facing: a 20-year-old scheduling engine, scattered scripts and little visibility into its critical close and reconciliation processes.

What workload orchestration is (and why it isn't just a "better cron")

A traditional task scheduler answers one question: what time does this run? A workload automation platform like JAMS answers more important ones: what does it depend on? What happens if it fails? Who gets notified? What else is affected? And how do I prove it in an audit?

JAMS, part of the Fortra portfolio, centralizes the definition, execution and monitoring of jobs across multiple platforms, on premises or in the cloud. The capabilities that matter most for banking include:

  • A single pane of glass for every process in the environment, with no jumping between servers.
  • Dependencies, triggers and conditional logic for multi-step workflows, time- or event-based.
  • A relational job view that shows what sits upstream and downstream of each process.
  • Automatic alerts when something fails or runs late.
  • High availability with failover, so orchestration doesn't become a new single point of failure.
  • Execution history for internal audit, external auditors and the regulator.
The goal isn't to switch tools, it's to switch models: from a batch that is operated from memory to one that is governed.
Automation & Integration team, Redsis

Five lessons for modernizing batch without risking the close

1. Inventory before you migrate

The first deliverable isn't a new workflow; it's a map of the current one: which jobs exist, what each script does, what it depends on and who uses it. It's common to find processes nobody needs anymore and others nobody knew were critical.

2. Make the implicit explicit

Every dependency that used to live in an operator's head should be declared in the platform. That is what turns a pile of scripts into an auditable workflow and removes reliance on legacy knowledge.

3. Prioritize close and reconciliation

Not all batch carries the same weight. Close and reconciliation have the biggest business and compliance impact, so they should be the first to come under centralized control.

4. Design alerts with the business

An alert that lands in an inbox nobody checks is useless. Deciding who gets which notice, through which channel and with what escalation matters as much as configuring the job.

5. Validate in parallel and cut over in stages

In banking, a "big bang" cutover is an unnecessary risk. Running workflows in parallel, comparing results and migrating by process group lets you move forward without jeopardizing a single close.

The result: batch you can see, control and explain

Today the bank controls its close and reconciliation from a single panel, gets immediate notification when a job fails and no longer depends on scattered scripts or the knowledge of a few people. Critical batch runs 24/7 with execution traceability, on modern, supported software.

For a bank that consistently ranks among the country's leaders in assets, equity and net income, that means something very concrete: fewer surprises first thing in the morning and more of the operations team's time spent improving, not firefighting.

Where to start

If your institution recognizes any of these symptoms (scripts nobody wants to touch, failures discovered late, or a close that depends on one person), a good first step is an assessment of your current batch. At Redsis we combine more than 25 years of mission-critical platform experience in banking with Fortra automation and integration solutions such as JAMS and GoAnywhere MFT.

Read the full story

See how a top-6 bank in Ecuador centralized its batch orchestration with JAMS.

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