Case study · From the Pluris libraryReceipt no. 5021
What sucked
Encore needed to detect nuanced Material Non-Public Information (MNPI) disclosures in expert-network call transcripts, but existing approaches lacked the interpretability required for compliance audits and the reliability demanded under regulatory scrutiny.
What they built
PressW refined an LLM architecture for Encore Compliance that combines structured prompt engineering for compliance-risk detection, chain-of-thought reasoning so each flag is transparent, and rigorous testing frameworks benchmarked against compliance standards, with model selection tuned to balance performance and processing efficiency.
What changed
Higher MNPI Detection Accuracy
The refined system materially improved accuracy in detecting potential MNPI disclosures (no percentage disclosed).
Audit-Ready, Explainable Decisions
Chain-of-thought reasoning makes each flag interpretable for compliance audits.
Supported Acquisition by ACA Group
The platform contributed to Encore Compliance being acquired by ACA Group.
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