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A bank's operations depend on thousands of processes executing in the right order, at the right time, every day. Batch cycles, regulatory filings, payment runs, risk calculations — miss a dependency or let a job hang, and delays ripple across the organization.
The challenge is most workflows are still held together with custom scripts and disconnected schedulers. They work until they don't, and when they fail, recovery is manual and slow.
Service Orchestration and Automation Platforms (SOAP) like Control-M take a different approach. Instead of scheduling jobs against static time windows, Control-M coordinates workloads across mainframes, cloud, SaaS, and APIs based on actual business dependencies — financial calendars, SLA deadlines, and the logic connecting one process to the next. When something drifts, automated recovery resolves it before your team needs to intervene.
Whether you're running payment processing, end-of-day close, or data pipelines for risk models, you get a single operational view showing exactly where every workflow stands and what needs attention.
Modernize your bank and move from legacy scheduling to service
Regulators don't distinguish between a late filing and a failed process — they see a missed deadline. Yet most regulatory reporting still relies on pulling data from multiple source systems manually, consolidating in spreadsheets, and hoping the scheduling holds together. The cost of failure is measured in fines and audit findings.
Control-M automates the reporting chain from source data extraction through transformation, validation, and file generation. Each step is dependency-aware, so a downstream report won't kick off until the data feeding it has been verified. If something fails mid-chain, automated alerts and recovery procedures give teams time to respond before a deadline is at risk — not after.
On the compliance side, every execution is logged at the job level. Compliance teams gain the traceability required for examinations without assembling records from multiple systems.
Explore Regulatory Reporting Automation
he EOD batch window leaves little room for error. Transaction settlement, position updates, GL postings, risk calculations — thousands of jobs must complete in sequence before the next business day begins. In a legacy scheduling environment, a single job failure or overrun can cascade through the entire chain and put SLAs at risk.
Control-M manages the full dependency chain across mainframe, distributed, and cloud environments. Jobs execute based on what's finished upstream, not on fixed time slots, so the schedule adapts to real conditions instead of breaking when reality doesn't match the plan. Predictive SLA tracking flags jobs that are trending late before they miss their window, and automated recovery keeps exceptions from becoming incidents.
That translates to a shorter, more predictable batch window — and an operations team focused on process improvement rather than incident response.
Explore EOD Batch Processing
A single payment — ACH, wire, card, real-time — passes through more systems than most stakeholders realize. File ingestion, validation, authorization, gateway communication, settlement, reconciliation. Each handoff introduces potential for delays, failures, or discrepancies that require manual intervention downstream.
Control-M connects the full pipeline. It detects file arrivals, validates transaction data upfront so errors are caught before they enter the processing stream, and automates settlement batching and fee reconciliation. When a transaction fails transiently, retry logic resolves it without manual intervention. Payments teams gain real-time visibility into processing status and throughput.
The result: fewer rejections, faster funding cycles, and a payment operation that scales without proportional headcount increases.
Explore Payment ProcessingJorge Suzano, Support Specialist at TIVIT
Information Technology & Services
201-500 employees
Rafael Modesto, Especialista Control-M at Cielo
Banking
1001-5000 employees
Erika Chamberlino, Analista at Bradesco Seguros
Banking
10,001+ employees
Leonardo Bergamin, Estagiário em Analise de Produção at Bradesco S.A
Banking
10,001+ employees
Verified Reviewer
Business Supplies & Equipment
1001-5000 employees
Verified Reviewer
Transportation/Trucking/Railroad
5001-10,000 employees
George Thorn, Control-M Consultant at Robert Mark Technologies
Information Technology & Services
11-50 employees
Verified Reviewer
Banking
10,001+ employees
Verified Reviewer
Banking
10,001+ employees
Venkata Ramesh Nalapati, Control-M Administrator at SAB
Banking
5001-10,000 employees
Jamie Adelglass, Manager Business Intelligence Systems at BBU INC
Consumer Goods
10,001+ employees
Verified Reviewer
Facilities Services
10,001+ employees
Verified Reviewer
Utilities
501-1000 employees
Verified Reviewer
Information Technology & Services
10,001+ employees
Verified Reviewer
Information Technology & Services
10,001+ employees
Verified Reviewer
Financial Services
1001-5000 employees
Verified Reviewer
Hospitality
10,001+ employees
Rafael Ferreira da Silva, Solution Architect at Banpara
Banking
1001-5000 employees
Verified Reviewer
Information Technology & Services
51-200 employees
Pat Byrne, Higher Executive Officer at Dept Social Protection
Government Administration
5001-10,000 employees
Verified Reviewer
Furniture
10,001+ employees
Customer Story
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Explore self-guided product demos showing how Control-M protects deadlines, meets compliance, and delivers trusted data at scale.