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Automating digital wallet risk

70% less manual review, 24/7 monitoring

Risk Llama Job Listing

Highlights

  • 70 percent reduction in manual review

  • 24/7 continuous monitoring

  • Deployed in minutes

  • About 59 minutes of analyst time recovered daily

Context. A leading regional digital wallet platform serving millions of users, with risk data scattered across spreadsheets and partner silos. The customer is anonymised.

The problem

  • Strategic risk data buried in spreadsheets. Exposure was recorded in static files and partner systems. Leadership had no current view of vendor performance risk.

  • Manual work against real-time change. Sanctions lists updated faster than the team could reconcile them. Screening was always slightly behind.

  • An hour a day lost to consolidation. Analysts spent roughly 59 minutes a day pulling fragmented systems together. None of that work improved the assessment.

What we did

An aggregation layer. Bring the core ledgers into one view. An agnostic aggregation layer connected the existing systems rather than replacing them.

  • Connect core ledgers without a migration programme.

  • Monitor the aggregated data continuously, 24/7.

  • Remove the manual consolidation step entirely.

Real-time visibility. Show every risk pillar in one place. Leadership moved from a monthly reconstruction to a live view across risk pillars.

  • Surface vendor performance risk as it changes.

  • Give leadership one current view rather than a monthly pack.

  • Replace manual consolidation with continuous aggregation.

Automated screening. Keep screening synchronised with the source. Sanctions screening was synchronised with regulatory updates rather than run on a cycle.

  • Synchronise screening with regulatory updates automatically.

  • Re-screen existing counterparties when a list changes.

  • Attach the source to every screening result.

The impact

  • 70 percent reduction in manual review. Review effort moved from consolidation to exceptions.

  • 24/7 continuous monitoring. Changes were picked up as they happened rather than at month end.

  • Deployed in minutes. The platform was operational without an implementation programme.

  • About 59 minutes of analyst time recovered per day. That time went back into assessment work.

Continuous monitoring, on the ledgers you already run.

If your analysts are still consolidating spreadsheets before they can assess anything, we can show you a cleaner operating model. Book a live demo and bring a live example.