Smarsh, a Portland, Oregon-based tech company that enables regulated organizations to capture, archive and monitor data from business communications, recently unveiled an AI-powered tool that emulates compliance professionals to streamline the review, escalation and disposition of alerts generated within Smarsh’s Enterprise Conduct Surveillance solution.
The offering, dubbed Intelligent Agent, uses large language models (LLMs) to screen out less relevant communications before they need review. According to Smarsh’s announcement, “Compliance teams spend up to 80% of their time sifting through noise to find real risks.”
Intelligent Agent, available as an add-on beginning in 2025, learns from historical alert patterns and human analyst decisions, freeing up compliance teams to focus on de-risking their organizations. The tool integrates with existing compliance workflows within the Smarsh Platform.
“The interest we’ve seen from our customers in such an offering is really incredible,” said Goutam Nadella, Chief Product Officer at Smarsh. “This is clearly a pain point in the industry, and we’re excited to be partnering with our global customers to solve the problem. We believe there’s an enormous opportunity to drive efficiency gains while also reducing organizational risk creating a more satisfying work experience.”
Smarsh’s data science team comprises several artificial intelligence and machine learning thought leaders and published authors. Recently, the company’s Chief Analytics Officer, Dr. Uday Kamath, along with other members of the data science team, co-authored and published a book titled “Large Language Models: A Deep Dive: Bridging Theory and Practice.”
