Diagnosis, design, prototyping, construction, scaling and operations. The same team that diagnoses accompanies the subsequent evolution.
A framework built for financial systems
Every engagement follows Eldar's structured framework — a repeatable approach refined over seventeen years of working on critical banking and payments systems. Domain talent, IBM Bob AI tooling and purpose-built execution models keep context alive across every stage.
Before building, we understand the system, the business and the expected impact.
Objective
Understand the challenge, the context, the systems involved, the technical constraints and the business objectives.
Result
A clear understanding of the problem and a possible path forward.
Services
We convert complex needs into clear, prioritized and executable roadmaps.
Objective
Convert the diagnosis into a concrete solution with scope, architecture, priorities and execution plan.
Result
An executable plan to move from opportunity to solution.
Services
We validate before scaling to reduce risk and accelerate decisions.
Objective
Reduce uncertainty before scaling investment.
Result
Early evidence to decide with lower risk.
Services
We build solutions that integrate with the technological reality of each client.
Objective
Develop the solution and integrate it with the client's technology ecosystem.
Result
Working solutions, integrated and ready to evolve.
Services
We don't just build: we help grow, adapt and scale.
Objective
Accompany the evolution after the first deployment.
Result
Solutions that evolve with the business.
Services
We accompany critical systems with observability, support and continuous improvement.
Objective
Accompany the operation of critical systems with observability, early detection and continuous improvement.
Result
More stable systems, supported teams and continuous improvement capacity.
Services
Integrating case
From a manual process taking days to automated reconciliation with early detection of discrepancies.
The problem
A financial institution processes thousands of daily transactions through multiple channels, processors and payment networks. Its reconciliation process relies on manual spreadsheets, partial cross-referencing and a team that spends days detecting discrepancies between what was transacted, what was settled and what was recorded in accounting. Differences appear late, closings are delayed and operational risk grows.
Diagnosis and strategy
Eldar assessed the current reconciliation flows, identified data sources, breakpoints and the implicit business rules that the operations team applied manually. The result was a clear map of the problem and a prioritized solution hypothesis.
Solution design and roadmap
An automated reconciliation architecture was designed with multi-source file ingestion, configurable rules engine, control panels for the operations team and early alerts. The roadmap prioritized an MVP on the highest-volume flow.
Prototyping and validation
A functional prototype was built on anonymized real data that allowed validation of matching rules, detection of uncontemplated exceptions and scope adjustment before scaling.
Construction and integration
A FinPod executed the development and integration with client systems: core, processor, accounting. Payment Studio agents and skills assisted in ingestion automation, reconciliation logic and exception analysis, while the team maintained full supervisory control over every output.
Scaling and evolution
The solution was extended to new channels and transaction types. New business rules were incorporated and performance was optimized for growing volumes.
Operational support
Eldar maintained an evolutionary support team with observability over the reconciliation engine, early detection of anomalies and continuous improvement of rules.
Count on a team that understands your industry, knows your systems and accompanies you end to end.
Tell us your challenge