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About the Client 

Our client is a global non-profit organization that funds large-scale health programs across 100+ countries, investing billions annually to combat infectious diseases. A dedicated audit and investigation division safeguards the organization’s resources, ensuring that grants are used ethically, transparently, and effectively to deliver maximum impact. 

Business Challenge 

Fragmented data limited visibility into risks and slowed investigations 

Our client’s audit and investigation function grappled with fragmented financial, operational, and country-level assurance data spread across 100+ nations, complicating compliance and oversight of billions in annual health grants. Data was scattered between incompatible health information systems, siloed assurance reports, and manually transcribed interviews, especially highlighted in third-world nations where supply chain gaps and missing intervention records magnified regulatory risk.  

To break this cycle and move from reactive oversight to proactive risk management, there was a clear need for a secure, unified data ecosystem capable of integrating structured and unstructured evidence across geographies. By accelerating insight generation and enabling real-time compliance monitoring, this approach empowers audit teams to maintain regulatory integrity, safeguard resources, and stay ahead of emerging risks. 

The Zuci Solution 

Unified and modernized the data ecosystem to strengthen governance and accountability 

Built a centralized data mart on Azure to unify audit and investigation data 

We created a secure Azure-based data mart integrating data from multiple internal and external sources, including corporate data warehouses, audit and assurance reports, and investigation databases. This provided a single source of truth for country-level performance, budget utilization, and compliance data. 

Delivered proactive risk intelligence dashboards to guide audits 

We built interactive Tableau dashboards to visualize high-risk countries, recurring red flags, and fraud trends. These dashboards guide audit workplans, risk assessments, and reporting to oversight committees, significantly reducing manual analysis time. 

Implemented AI-powered topic discovery to surface emerging risks 

Using Natural Language Processing (NLP) on Azure AI, we developed applications to analyze large volumes of unstructured audit and investigation reports. The system automatically identifies risk themes such as procurement fraud or supply chain irregularities, enabling investigators to focus on emerging risk zones before issues escalate. 

Deployed AI-driven transcription to accelerate investigation evidence processing 

To streamline confidential interviews and field investigations, we deployed an AI-powered speech-to-text engine. The solution converts multilingual recordings into accurate transcripts within hours, enhancing turnaround time, consistency, and data security. 

You can Read more about this AI-driven solution here

Together, these initiatives transformed the division from a reactive oversight unit into a proactive, analytics-led function: driving accountability, accelerating investigations, and improving governance visibility across the organization. 

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