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Queried through one governed interface
Cross-domain connections surfaced faster
Investigator time redirected to analysis
A top-10 bank was managing financial crimes investigations across 14 disconnected data domains, including transaction monitoring, KYC, onboarding, beneficial ownership, SAR history, sanctions, adverse media, and third-party intelligence sources. Investigators needed a complete view of entity activity, customer context, and prior case history before making SAR decisions.
The problem was not data availability; it was data connection. Investigators spent 60–70% of each investigation, or approximately 4–5 hours per case, manually searching systems, exporting results, reconciling entity names, and building evidence trails before analysis could begin.
The business impact was significant. With a 22,000-case SAR backlog under consent-order remediation and high investigation volumes flowing through the bank, manual data assembly created avoidable compliance cost, slower case movement, and weaker consistency in investigation documentation.
The executive trigger was examiner scrutiny over investigation explainability and remediation timelines. Compliance, risk, and financial crimes leadership needed a governed AI discovery layer that could query all investigation data domains, surface entity connections, preserve source trails, and give investigators faster access to decision-ready evidence.
Novacis Digital deployed Conversational Case Discovery, an AI case intelligence solution designed to accelerate AML/SAR investigation without weakening compliance control.
The solution created a natural-language discovery layer across transaction monitoring alerts, KYC records, beneficial ownership information, sanctions/PEP screening, adverse media, SAR archives, and related intelligence domains. Investigators could ask cross-domain questions, receive source-cited answers, and generate investigation-ready evidence summaries for analyst review.
The technical distinction was explainable retrieval for regulated case work. Conversational Case Discovery preserved source lineage, query history, evidence links, and relationship logic for every answer, giving investigators the documentation needed for QA, examiner review, and SAR narrative support.
Role-based access and human validation kept final interpretation and disposition with trained compliance professionals.
This shifted the operating model from fragmented investigation prep to AI-assisted case discovery with controlled human decisioning.
Conversational Discovery Capabilities
Financial Crime Investigation Features
Novacis Digital implemented Conversational Case Discovery in two stages: a 6-week pilot for high-complexity SAR and remediation queues, followed by a 10–12 week enterprise expansion across broader financial crimes workflows. The initial rollout focused on cases where entity resolution, source tracing, and evidence assembly consumed the most investigator time.
Early wins included cross-domain discovery, source-linked evidence packages, AI-assisted case summaries, and query histories that supported QA and examiner review. This gave compliance leadership proof that investigation speed could improve while preserving source lineage, human validation, and regulated decision control.
Recovered ~447K annual investigator hours by eliminating manual data assembly work and redirecting investigator effort to financial crime analysis.
Reduced investigation time from ~7 hours to ~2.5 hours per case, giving teams faster movement from alert review to disposition.
Cut the SAR backlog runway from ~14 months to under 5 months, strengthening remediation control under consent-order pressure.
Compressed entity resolution from 3–4 hours to under 5 minutes, improving execution proof across multi-domain financial crime investigation.
Reduced SAR narrative sourcing from 90–120 minutes to 15–20 minutes, lowering documentation effort while improving source traceability.
