Acuity Trading has partnered with Agentic AI platform WNSTN to integrate market intelligence with AI-powered engagement tools for brokers and trading platforms. The collaboration aims to improve the way traders access and interact with market data within a single environment.
The partnership combines Acuity’s trade, market and events intelligence with WNSTN’s conversational AI technology. The integrated solution is expected to provide real-time interaction, data visualization and personalized user engagement directly within trading platforms.
Acuity’s tools focus on explaining market movements and highlighting key events. WNSN adds an AI layer that allows users to interact with this data in real time. The companies said this approach will help brokers deliver more relevant and timely information to customers.
WNSTN stated that the integration will provide “real-time, powerful insights” in addition to “personalized platform experiences” to support merchant decision-making.
Focus on usability and compliance
The companies emphasized that the solution is designed for regulated environments. WNSN’s engagement tools include compliance-focused features that support secure communications between platforms and users. Together, the companies aim to reduce fragmentation by bringing analysis and interaction into one system.
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The partnership targets brokers who want to improve the user experience without adding separate tools. Instead, the combined offering integrates intelligence and engagement directly into the trading workflow.
Agentic AI in trading and investing usually refers to AI “agents” that can not only analyze data but also take or orchestrate actions on behalf of a user.
In the payments space, Mastercard and Banco Santander have already demonstrated that AI “agents” can securely initiate, authorize and complete consumer transactions from start to finish within a regulated banking environment. These include predefined permissions such as spending limits, explicit rules and strong authentication, while treating them as separate, cryptographically identifiable actors in the payment flow.
Kelly Devine, Source: LinkedIn
“Agentic payments represent a profound shift in the way commerce is initiated and executed. With Mastercard Agent Pay, we are applying the same principles that have defined our network for decades: security, trust, interoperability and global scale, in a new era of AI-enabled commerce,” said Kelly Devine, Mastercard’s President of Europe.
Meanwhile, AI is also shaping the way companies think about the people who keep trading operations running. In institutional prop shops, managers use automation to squeeze more productivity out of existing desks and justify each additional hire. But they stop at mass layoffs.
Rather than stripping out the workforce, they are quietly recalibrating: slowing the pace of recruitment, demanding more specialized skills and asking harder questions about where human judgment still adds an edge. At the same time, the story in retail is more overtly tied to cost savings.
Some brokers are now citing automation and “agentic AI” when announcing layoffs, viewing technology as a route to leaner operations and sharper strategic focus. That raises an uncomfortable question for the industry: Is AI primarily a tool to empower traders and engineers, or will it become a convenient narrative to rationalize job losses that would have happened anyway?