Release notes
Version 2.1.2
- Release date: April 12, 2026
- Compatible platform version: Work.AI 10.2.9+
The Isaac v2.1.2 release introduces configurable narrative grouping and counterparty search limits, enhances automated deduplication, and improves investigation efficiency and data quality by enabling entity‑centric output handling. Extended rules, more efficient large-volume transaction handling, enhanced narratives, and better error handling ensure more reliable processing and reduced operational overhead.
New features
We have introduced an entity-centric approach to handling output data, consolidating multiple alerts related to the same entity into a single sheet rather than producing separate outputs. The enhancement reduces data fragmentation and simplifies analysis and reporting, resulting in improved investigation efficiency and reduced operational overhead when managing high alert volumes.
Isaac now allows you to limit the number of counterparties returned during searches using a new dedicated flag in the configuration interface on the Investigation step. The feature decreases processing time and minimizes unnecessary data handling, allowing your teams to optimize productivity without sacrificing accuracy.
We have automated deduplication between account holders and counterparties, ensuring that the same entity is not represented multiple times across investigation results. The feature reduces redundant data to let your analysts streamline investigations.
Isaac now supports automatic extraction of address information from counterparties, enabling seamless downstream integration with the Evan AI Agent for Adverse Media Monitoring. As a result, your investigations can benefit from richer data inputs and more effective automation across workflows.
You can now set transaction narratives to be grouped based on the entry method, transaction code description, or transaction type parameters. You can choose a grouping criteria in the Narrative grouping field on the Output step. The new feature allows you to tailor how transaction narratives are consolidated to match investigation workflows, improve output readability, and reduce review time by helping analysts quickly identify relevant patterns.
Improvements
Isaac's decision rules have been extended with the following options to increase the detection coverage for common deposit and transfer risk patterns:
No-code rules: LOW-RISK CHECK DEPOSIT and HIGH-RISK CHECK DEPOSIT
Pre-built rules: INTERNAL_TRANSFER_PATTERN, SOURCE_OF_FUNDS_ANALYSIS_PATTERN, JUST_UNDER_THRESHOLD_DEPOSITS, and ROUND_DOLLAR_DEPOSITS
We have refined counterparty name cleaning and deduplication during processing to improve data quality and reduce duplicate entity records. As a result, Isaac delivers more accurate and consistent counterparty identification, enabling clearer investigations.
To improve clarity and consistency in investigation outputs, adjustments were introduced to Isaac's narratives. The clearer, more standardized narratives help analysts communicate results more effectively and support regulatory requirements.
Error handling has been enhanced across investigations to ensure issues are identified and reported more accurately within minimum time.
We have improved the handling of large transaction lists during ingestion and analysis, which enables faster processing and greater scalability and allows teams to handle high‑volume workloads efficiently without compromising data quality.