Risk Management · Security and Compliance
Citi wanted to modernize internal audit so thousands of auditors could review documents, assess risk and surface anomalies faster than was possible with manual methods.
Reported impact
Citi reduced manual audit effort, improved visibility into risk signals and created a reusable platform that has already delivered large time savings across early audit use cases.
Citi partnered with IBM to build a unified audit intelligence platform around IBM Watson Discovery, IBM Cloud Pak for Data and IBM OpenPages. The platform introduces AI, natural language processing, analytics and machine learning into the audit lifecycle so documentation review and risk assessment no longer depend on purely manual effort. Watson Discovery handles document analysis and search, Cloud Pak for Data provides the broader data and AI environment, and OpenPages operationalizes risk, governance and audit workflows. IBM’s data science and Expert Labs teams helped identify high-value use cases and integrate the components into Citi’s internal-audit operating model. In practice, auditors can use AI-based control scoring, NLP-driven document analysis and anomaly detection to move from large collections of audit material to prioritized insights, improving the quality and speed of governance decisions while reducing routine investigative work.
Audit documents and related risk data are ingested into Watson Discovery and Cloud Pak for Data, where AI and NLP derive control and anomaly insights that flow into OpenPages for audit, governance and risk management workflows.
Citi selected three IBM solution; IBM Watson® Discovery, IBM Cloud Pak® for Data and IBM® OpenPages®.
The first few use cases that include AI-based control scoring and NLP-powered document analysis have saved hundreds of thousands of hours.
These solutions introduced advanced analytics, AI, machine learning and NLP into every stage of the audit lifecycle.
Review how this reference was scored and trace each normalized claim back to its documented source.
Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
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