Eventus appointed Eric Litz as Chief Technology Officer and Sarah-Jane McColl as Chief Customer Officer. The appointments expand the trade surveillance provider's AI-enabled compliance surveillance capabilities and enterprise-scale infrastructure. Financial institutions increasingly turn to artificial intelligence and scalable cloud infrastructure to manage growing compliance and surveillance demands, driving compliance systems to evolve into high-volume AI infrastructure platforms capable of processing massive datasets and identifying suspicious patterns across fragmented global markets.
Eventus Appoints Two Executives to Leadership Team
Eventus announced the appointments of Eric Litz as Chief Technology Officer and Sarah-Jane McColl as Chief Customer Officer. The moves reflect the company's push to expand its AI-enabled compliance surveillance capabilities and enterprise-scale infrastructure.
McColl worked alongside Eventus leadership since 2025 on the rollout of the Frank AI platform, which includes next-generation AI-enabled surveillance capabilities.
Eric Litz Brings SaaS Infrastructure and Cloud Scaling Expertise
Litz's background includes SaaS modernization, cloud scaling and analytics infrastructure. Before joining Eventus, he led consultancy Copperhead Technology Group and previously served as CTO of Klarivis, a SaaS analytics platform supporting more than 130 community banks and credit unions.
Earlier in his career, he served as CTO of Delta Data, where systems processed more than $2 trillion in assets nightly for Fortune 500 clients. The appointment reflects Eventus' prioritization of scalable enterprise-grade infrastructure capable of supporting larger compliance workloads.
Sarah-Jane McColl Led Frank AI Platform Rollout Since 2025
Before consulting with Eventus, McColl spent seven years at Beacon Platform, later acquired by Clearwater Analytics, where she held senior operational and delivery roles. She also spent 15 years at Goldman Sachs across London and New York, leading strategic platform and trading technology initiatives within Goldman Sachs Asset Management's Alternatives business.
The operational side of regtech deployment has become increasingly important as surveillance systems expand across multiple asset classes, trading venues and regulatory jurisdictions. Financial institutions increasingly expect surveillance vendors to integrate into broader enterprise workflows rather than function as isolated monitoring systems.
RegTech Market Exceeds $20 Billion Globally
Industry estimates place the broader regtech market above $20 billion globally, with annual growth rates near 20% as financial firms increase spending on surveillance, reporting, AML and risk infrastructure. Trade surveillance vendors increasingly compete on infrastructure scalability and analytics capabilities rather than only surveillance rule libraries.
Compliance teams increasingly need systems capable of processing massive datasets, identifying suspicious patterns across venues and reducing operational overload created by large numbers of surveillance alerts. Multi-asset trading, algorithmic execution, crypto markets, fragmented liquidity venues and global market connectivity have dramatically increased the complexity of surveillance operations.
AI Surveillance Reduces False Positives in Trade Monitoring
AI has become one of the most competitive areas in trade surveillance technology. One of the industry's largest operational problems involves the volume of alerts generated by surveillance systems. Many institutions face large numbers of false positives that require manual investigation by compliance teams.
AI systems are increasingly being deployed to prioritize, classify and contextualize those alerts. AI capabilities in surveillance include false positive reduction, pattern recognition, cross-market correlation, alert prioritization and large dataset processing. That trend is helping transform surveillance from a rules-based monitoring function into a broader data intelligence operation.
Crypto trading, tokenized assets, 24-hour markets and cross-venue liquidity have increased pressure on surveillance providers to support continuous monitoring environments. At the same time, regulators globally continue increasing scrutiny around market abuse, insider trading, spoofing and manipulation detection. Traditional surveillance architectures often struggle under those conditions, particularly when large amounts of market data must be analyzed continuously.
FAQ
Who did Eventus appoint to its leadership team?
Eventus appointed Eric Litz as Chief Technology Officer and Sarah-Jane McColl as Chief Customer Officer to expand its AI-enabled compliance surveillance capabilities and enterprise-scale infrastructure.
What is Eric Litz's professional background before joining Eventus?
Eric Litz led consultancy Copperhead Technology Group and previously served as CTO of Klarivis, a SaaS analytics platform supporting more than 130 community banks and credit unions. Earlier in his career, he served as CTO of Delta Data, where systems processed more than $2 trillion in assets nightly for Fortune 500 clients.
What role did Sarah-Jane McColl play in Eventus' Frank AI platform?
Sarah-Jane McColl worked alongside Eventus leadership since 2025 on the rollout of the Frank AI platform, which includes next-generation AI-enabled surveillance capabilities. Before consulting with Eventus, she spent seven years at Beacon Platform and 15 years at Goldman Sachs leading trading technology initiatives.
