The banking and payments landscape in Brazil is facing a critical paradox. While the volume of digital interactions reaches record highs, profitability per transaction is undergoing silent erosion.
Digital asymmetry is not just a technical challenge — it is a direct driver of operational margin degradation.
The explosive growth of Pix (which reached 63.8 billion transactions in 2024, a 52% YoY increase) is just one example of the rising load on core processing infrastructure.
For financial institutions, this “cost of success” is dangerous. The massive increase in low-value, high-frequency transactions demands a level of scalability that legacy systems — if not modernized — deliver at an inefficient cost.
Without a mainframe modernization strategy, every new digital event consumes MIPS cycles that do not generate proportional revenue, penalizing business efficiency.
Decoding the TFP model: the financial impact of MIPS consumption
Under the Tailored Fit Pricing (TFP) licensing model, budget predictability is intrinsically tied to code efficiency. “Chatty” workloads, driven by constant balance checks and mobile status queries, significantly increase MSU/MIPS consumption.
This customer-query traffic saturates the mainframe through the Distributed Data Facility (DDF), generating what we call cash leakage: the consumption of expensive resources by non-monetized activities.
The financial reality is further aggravated by the elimination of technical opportunity windows. During the record-breaking Black Friday of 2024, with 239.9 million transactions in a single day, the peak of “Batch Window Compression” was observed.
Real-time Pix processing prevents the system from returning to traditional batch states, turning variable cost into constant pressure on EBITDA.
In this scenario, three main factors erode the monthly balance sheet:
- Non-monetized workloads (API chatters): the amplification of APIs and constant mobile state synchronization that consume CPU without financial return.
- Batch window compression: the 24/7 availability requirement driven by Pix eliminates historical batch processing efficiencies.
- Technical inertia: the cost of running inefficient COBOL/DB2 code under a strictly consumption-based pricing model.
Code quality as a lever for infrastructure optimization
COBOL/DB2 code integrity is the primary metric of CPU efficiency.
Logical errors or inefficient database access patterns that reach production are not just operational risks — they are capital waste.
Modernization through quality is the “zero step” for any hybrid cloud or refactoring initiative, aligning with IBM’s strategy of using artificial intelligence to optimize legacy systems.
To address this, Eccox Application Quality Control (EQC) acts as a preventive governance layer. By implementing automated quality gates in the development cycle, EQC prevents technical inertia from reaching the monthly IBM bill.
The solution ensures that only high-performance algorithms are executed, transforming IT into an efficiency unit that frees maintenance budget for strategic innovation.
ROI analysis: from necessary CAPEX to sustainable OPEX
For CFOs, investment in mainframe automation should be viewed as a shift from CAPEX efficiency to OPEX optimization. Strategic modernization with Eccox is not a one-time expense, but a recurring reduction in operational and licensing costs.
Industry data shows that institutions adopting this governance approach achieve reductions of up to 87% in provisioning time and improvements of 25% in Time-to-Market.
With 34 years of experience and IBM Partner Plus status, Eccox provides the security required for this transition.
Real-world experience in major national banks proves that technical excellence is the shortest path to sustainable financial returns in the mainframe.
Modernization does not mean abandoning the z/OS platform, but extracting its maximum value. In a market driven by instant transactions, keeping the mainframe both resilient and agile is a competitive imperative.
Software intelligence applied to code quality enables this robust platform to operate with fintech-like agility, ensuring long-term results and financial stability.
If the growth of your transactional volume is no longer translating into proportional margin growth, the problem is not demand — it is core efficiency.