Managing Risks in spreadsheets, siloed databases, and disconnected apps

Context: A regional digital wallet platform managed enterprise and vendor risks using disparate spreadsheets, standalone databases, and manual Google News feeds. This fragmented approach made risk identification slow and reactive, often flagging issues only after it was too late.

Problem: Strategic risk data was buried in static files and partner silos, blinding executive leadership to critical vulnerabilities and vendor performance risks.

Challenge: Manual checks could not keep pace with real-time updates. Highly skilled analysts wasted approximately 1 hour per day manually "gluing" disparate systems together rather than analyzing data.

Solution

Risk Llama implemented an agnostic aggregation layer over core ledgers, providing continuous 24/7 monitoring and real-time impact visibility across all risk pillars.

Strategic Risk Alignment

Streamlined critical data into a single source of truth. The platform automates data collection by dispatching surveys to risk owners and vendors, feeding into personalized dashboards and reporting.

Market Watch

Replaced manual news monitoring with automated, real-time intelligence to identify external threats immediately.

Intelligent AI Case Building

Centralized the assessment, review, and onboarding of partners into a seamless workflow:

Structured Management: Searchable case files with clear ownership assignments.

Audit Trail: A single environment for all stakeholder actions.

Secure Collaboration: Transparent and secure processes for reviewing partner cases.

Outcome

Empowered leadership to stop compiling reports and start making informed, strategic decisions.