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Processed across banking portfolios
AI-prepared evidence packages
Consent-order timelines met
A top-10 US bank was managing 380,000 AML alerts annually across correspondent banking, commercial lending, and retail deposit monitoring. Alert volume had increased 34% over three years, and compliance leaders were operating under heightened examiner expectations for documented, auditable investigation timelines.
The core problem was case readiness. Investigators spent about 70% of each case gathering documents from transaction monitoring, KYC, beneficial ownership, sanctions/PEP, adverse media, and prior SAR systems before they could begin analysis. With evidence spread across disconnected platforms, SAR workflows were slow, inconsistent, and difficult to govern at enterprise scale.
The business impact was direct. A typical SAR case cycle took 32 days, with roughly 22 days consumed by document retrieval rather than investigator judgment. This created higher compliance operating cost, slower backlog clearance, and reduced analyst capacity for complex financial crime risk.
The executive trigger was clear: the bank needed to reduce SAR cycle time, improve consent-order SLA performance, and protect audit readiness without increasing headcount. Compliance, risk, and operations leadership needed an AI-led case automation layer that could prepare investigation-ready case files while preserving human control over SAR decisions.
Novacis Digital deployed AI Case Automation, a financial crime compliance solution built to prepare AML/KYC investigation files before analyst review begins.
The solution ingested alerts from transaction monitoring, retrieved evidence from KYC, beneficial ownership, sanctions/PEP, adverse media, prior SAR, and core banking systems, then organized the material into investigation-ready case workspaces. AI-assisted triage ranked alerts by typology, risk tier, and SLA priority so cases reached the right investigator queue with source-linked evidence already assembled.
The technical differentiation was end-to-end case readiness: entity relationship mapping, activity chronology building, evidence packaging, and SAR drafting support operated in one governed workflow. Human review checkpoints preserved investigator judgment, QA approval, SAR determination, and examiner traceability.
This shifted the operating model from manual document gathering to AI-governed case preparation with human-controlled compliance decisions.
Financial Crime Capabilities
AI Case Readiness Features
Novacis Digital implemented AI Case Automation in two waves: a 6-week pilot for priority AML typologies, followed by a 10–12 week enterprise expansion across the bank’s investigation workflow. The initial rollout focused on cases where document retrieval, KYC evidence, and transaction chronology work consumed the most analyst time.
Early wins included investigator-ready workspaces, automated retrieval from connected banking and compliance systems, entity graph generation, and QA-ready case documentation. This gave compliance leadership proof that AML throughput could improve without weakening SAR judgment, audit trails, or examiner review readiness.
Recovered $47M/year in investigator capacity using the bank’s fully loaded analyst cost model.
Reduced investigation cycle time by 66%, giving compliance teams faster movement from alert intake to case disposition.
Closed a 27+ percentage-point consent-order SLA gap from a 68% baseline, giving leadership measurable remediation control.
Raised case documentation accuracy from ~78% to above 96% first pass, reducing rework before QA and examiner response.
Cut manual document collection from roughly 70% of case effort to a governed AI-prepared workflow, freeing analysts for risk analysis and SAR judgment.
