Case studies

What changes when technology understands the operation

Four real implementations in Argentine capital markets institutions. Under confidentiality agreements with our clients we present these cases anonymously, describing the market figure and the outcome achieved.

Case 01 · Clearing agent (ALyC)

A single technology team for the whole operation

The situation

A leading Argentine clearing agent had its development work spread across different providers with no shared technical criteria. Every new request started from zero and nobody had the full picture of how the pieces fitted together.

What we did

ACQ IT took over the institution’s entire technology development: operating platforms, market integrations, reconciliations and management dashboards, on a single architecture and a single standard.

The result

  • One technical counterpart for the whole operation, instead of coordinating between providers.
  • A homogeneous architecture: what is built today integrates with what was built before.
  • Shorter implementation times, because the team already knows the operation and there is no learning curve per project.
  • Continuity: business knowledge stays inside the team rather than leaving with a provider.

Case 02 · Trading agent

Settling with your own back office, without changing systems

The situation

A market agent had a back office that worked well, but which did not receive market data in the format or at the time it needed in order to settle. The alternative on offer was to replace the entire system.

What we did

Instead of replacing, we integrated. We connected the back office to our market data platform, which normalizes and delivers market information in the format the existing system already knew how to consume.

The result

  • The client settles using its own back-office system, with no migration and no retraining.
  • Zero software replacement: the existing investment and internal operational knowledge were preserved.
  • Market data arrives normalized, with no manual step in between.
  • The integration absorbs changes on the market side: the back office never notices.

Case 03 · Financial group

The entire back office running against market data APIs

The situation

A financial group with several companies depended on manual downloads and spreadsheets for its daily back-office tasks. Each task had its own circuit, its own file and its own way of breaking.

What we did

We exposed market data as APIs and rewrote the back-office circuits to consume directly from them. Daily tasks stopped depending on somebody downloading a file.

The result

  • The entire back office runs against APIs, not against files.
  • Daily tasks execute without manual intervention or dependence on a specific person.
  • A single data source for every company in the group: differences between spreadsheets are gone.
  • Full traceability: every query is logged, with timestamp and result, available for audit.

Case 04 · Mutual fund manager

80% less operational workload with a custom fund blotter

The situation

A mutual fund management company ran the daily operation of its funds on spreadsheets and manual controls. The operations team spent most of the day on data entry and verification, with the error risk that implies.

What we did

We built a custom fund blotter: a single platform where the operations of every fund are entered, controlled and tracked, integrated with the administration systems and with market data.

The result

  • 80% reduction in the daily operational workload of the operations team.
  • The hours freed up were reassigned to control and analysis instead of data entry.
  • Fewer manual errors: what used to be typed in is now validated against the source.
  • A consolidated real-time view of every fund on a single screen.

Let’s talk

Does your institution recognize any of these?

If any of these situations sounds familiar, let’s talk. The first meeting is a no-cost assessment of your infrastructure and processes.

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