Recognition validates SymphonyAI’s AI-native approach to name and transaction screening, combining advanced matching algorithms with agentic AI to drive dramatic reductions in false positives and investigator workload
PALO ALTO, Calif. – May 27, 2026 – SymphonyAI, a leading provider of AI-native anti-financial crime solutions, today announced it has been named a Category Leader in the Chartis Watchlist and Adverse Media Monitoring Solutions, 2026 report, published by Chartis Research. The recognition confirms SymphonyAI as a Category Leader in both the Name and Transaction Screening and Adverse Media Monitoring quadrants, placing the company among an elite group of vendors recognized for the breadth and depth of its capabilities across both disciplines.
The Chartis RiskTech Quadrant® evaluates vendors across completeness of offering and market potential, assessing capabilities including data methodology, workflow, solution deployment, reporting and auditing, and speed and performance. Category Leaders are defined as vendors that exhibit strength across the broadest set of capabilities in their segment, demonstrating clear execution of core strategy and innovation. This year’s report assessed more than 70 vendors, a significantly expanded and more competitive field compared to prior years, reflecting the rapid growth of the watchlist and adverse media monitoring market as demand expands beyond financial services into new business verticals.
“In Chartis’ Watchlist and Adverse Media Monitoring 2026 Report, SymphonyAI has been awarded Category Leader status, reflecting the quality of its solution’s workflow and its speed, volume and performance,” said Sean O’Malley, Research Director at Chartis. Notable in the evaluation of SymphonyAI’s Name and Transaction Screening and Adverse Media Monitoring Solutions were the strong data methodology and innovation approach to embedded agentic AI capabilities.”
AI-native screening built for modern compliance needs
The 2026 Chartis report highlights a market in which computing power and scale have become primary competitive drivers, as institutions demand ever-increasing performance across expanding datasets. Cloud-based deployments are now standard, and the combination of agentic AI and large language models (LLMs) is increasingly central to false positive reduction. Winning vendors, Chartis notes, are those using agentic AI to design more efficient workflows, deploying GenAI to improve transparency in reporting, and offering the flexibility and customization to address each institution’s specific compliance requirements.
SymphonyAI’s recognition reflects the strength of its end-to-end screening platform, which combines industry-leading watchlist coverage with configurable AI and rules-based watchlist enrichment and post-processing engines. The platform screens against 350+ global watchlists across 60+ languages, processing payments in as little as 40 milliseconds, with a certified SWIFT Alliance Access integration plug-in.
Critically, SymphonyAI’s approach goes beyond alert generation. The company’s configurable Directed Acyclic Graph (DAG) workflow engine enables institutions to embed predictive and generative AI at every stage of the screening lifecycle, from entity extraction and match evaluation through to investigation and disclosure filing, achieving up to 70% fewer false positives and 40% faster alert adjudication.
Chartis’ independent scoring reflects this strength. In the 2026 Name and Transaction Screening vendor capability table, SymphonyAI achieved a score of 4.4 for Workflow – joint highest across all vendors assessed – recognizing the sophistication and efficiency of its AI-driven alert triage, case management, and investigation capabilities.
“This recognition by Chartis reflects what our clients are already experiencing. AI-native screening is no longer aspirational, but operational. Our platform gives institutions the flexibility to dial the level of AI in every step of the process, from a rules-first baseline through to fully agentic workflows, with full auditability at every point. Being named a Category Leader validates the approach we’ve taken and the real-world impact we’re delivering for our clients as they advance toward Always-On Compliance™.”
– Jason Shane, Head of Strategy & Innovation, SymphonyAI
Introducing agent-native screening
A key focus of the SymphonyAI solution is the company’s proprietary agent-native screening architecture; a framework that introduces agentic AI across the entire screening workflow in an advisory manner, keeping humans in the loop at every stage. This enables institutions to transition from rules-first to AI-first operations at their own pace, with the lowest risk and highest auditability.
In proof-of-concept deployments with leading financial institutions, SymphonyAI’s agentic screening capabilities have delivered:
- 99% false positive reduction achieved autonomously by matching and discounting sanctions hits
90% reduction in manual effort, with average alert review time reduced by 10x
98%+ agent-investigator adjudication agreement, demonstrating remarkable decision consistency
Institutions can also benefit from SymphonyAI’s Decision reApplication (DAP) capability, which compares incoming matches against historical adjudication data to automate disposition of repeat patterns, substantially reducing investigator burden without sacrificing oversight or governance.
The agentic approach doesn’t stop at alert triage. SymphonyAI’s agent-driven case manager orchestrates a team of specialized agents that conduct end-to-end analysis on every alert before an investigator even opens it. When they first access a case, they are presented with a pre-populated Evidence Board containing all relevant findings. An embedded AI Copilot then assists at every subsequent step, including why the transaction was flagged, any counterparty research queries, and transactional context, with full governance lineage and auditability maintained throughout.
Other agents include the Watchlist Enrichment Agent, which adds additional information to any watchlist record, providing background context for the investigator alongside a risk assessment; the Name Match Analysis Agent, which will review the match and use OSINT information to try to clarify whether it is a true or false positive; and the Transaction Match Analysis Agent, which looks for evidence of other sanctions evasion scenarios.
SymphonyAI’s agent-led solutions are part of Symphony Risk Intelligence (SRI), an agent-native FinCrime platform purpose-built to transform the compliance operating model. Combining unified risk intelligence with agentic orchestration, SRI automates manual work, reduces alert noise, and proactively adapts operational processes as conditions change. Designed with industry-leading embedded governance, SRI enables SymphonyAI to rapidly bring new agentic capabilities to market that are regulator-ready from day one; allowing financial institutions to adopt advanced AI with confidence and complete, auditable control.
About Chartis Research
Chartis is a leading provider of research and analysis on the global market for risk technology, covering financial risk, compliance, and financial crime. Its RiskTech Quadrant® methodology provides a comprehensive, independent assessment of technology solutions to help financial institutions make informed purchasing decisions.
The full Chartis Watchlist and Adverse Media Monitoring Solutions, 2026 report is available directly from Chartis here.
About SymphonyAI
SymphonyAI delivers Vertical AI product platforms that help enterprises solve their most complex, high-value challenges — from stopping financial crime to improving store performance and boosting manufacturing efficiency. Trusted by more than 2,000 enterprise customers worldwide, including 200 of the top financial institutions, the top 25 CPG companies, and many of the world’s largest grocers and industrial manufacturers, SymphonyAI provides domain-trained applications and pre-built agents that are ready to work on day one. Learn more at https://www.symphonyai.com/.
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