About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

AiMi Unveils Agentic Workflow to Automate Mandatory Market Changes

Subscribe to our newsletter

AiMi, specialists in AI for trading and market data operations, has launched an end-to-end agentic workflow designed to streamline how firms manage mandatory changes from exchanges and market data vendors. The new capabilities build on AiMi’s existing AI-enabled platform, introducing a dynamic suite of digital agents that automate the tracking, review, and triage of market and data updates.

For capital markets firms, managing the constant stream of notifications from infrastructure partners is a significant operational challenge. These updates, which can run into the hundreds each day, must be manually ingested, interpreted, and assessed for their business and technical impact – a process fraught with complexity and risk.

Ollie Cadman, CEO of AiMi, explains the long-standing problem to TradingTech Insight: “Historically, this process has all been very manual, requiring experienced people – who possess the necessary knowledge, context, and understanding – to monitor inboxes and filter hundreds of daily notifications to identify which ones might impact them. To complicate matters, exchanges and vendors continually issue updates or changes to these notices. These might be helpful reminders, clarifications, or they might reschedule things or change the scope. Consequently, you must constantly maintain those changes. The obvious risk of these manual processes is that things get missed due to the volume of updates and complexity of the notices.”

AiMi’s platform aims to solve this challenge by deploying digital agents that continuously ingest and interpret unstructured notifications, identify impactful changes based on a client’s specific business context and configuration, and assess the impact on affected applications and subscribers. This intelligent orchestration layer ensures that changes are not merely processed, but are prioritised, contextualised, and delivered with precision, turning what was once weeks of manual review into minutes.

The platform is engineered to ensure that business logic and data remain segregated and tailored to clients’ unique operational requirements, explains Cadman. “First and foremost, we’re a technology provider building a customisable platform. Each client has a dedicated environment with no shared infrastructure, which means we are not putting all those notices into a single shared database. Everything gets processed individually for that client, based on what they are interested in. Where available, we can source these notices on behalf of clients, however in some cases firms have built up their distribution lists from exchanges over many years and trust them. They know that they receive everything they care about and just want to plug in a piece of technology that can help them process that information more efficiently.”

A key aspect of the new workflow is its ability to augment, rather than replace, existing institutional processes. By integrating with established third-party platforms like Jira, the system can feed actionable changes directly to internal delivery teams, accelerating manual tasks while preserving oversight.

“It’s critical that we’re not trying to replace or re-engineer our clients’ processes,” Cadman says. “We are trying to accelerate them while ensuring the appropriate human-in-the-loop checkpoints remain at key review points. It was always key for us to be able to integrate into their existing processes. That’s why things like Jira integration are key. We are not asking people to step out of their existing workflow; we are able to feed directly into it.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The Role of Data Fabric and Data Mesh in Modern Trading Infrastructures

The demands on trading infrastructure are intensifying. Increasing data volumes, the necessity for real-time processing, and stringent regulatory requirements are exposing the limitations of legacy data architectures. In response, firms are re-evaluating their data strategies to improve agility, scalability, and governance. Two architectural models central to this conversation are Data Fabric and Data Mesh. This...

BLOG

Platform-Led Strategies for Solving Market Data Fragmentation, Cost and Governance Challenges

For any Chief Data Officer or Head of Trading Technology, the line item for market data is both one of the largest and most complex to manage. The challenge is no longer simply about plumbing feeds into applications. It is a strategic imperative to control spiralling costs, integrate a chaotic mix of traditional and alternative...

EVENT

RegTech Summit New York

Now in its 9th year, the RegTech Summit in New York will bring together the RegTech ecosystem to explore how the North American capital markets financial industry can leverage technology to drive innovation, cut costs and support regulatory change.

GUIDE

Enterprise Data Management

The current financial crisis has highlighted that financial institutions do not have a sufficient handle on their data and has prompted many of these institutions to re-evaluate their approaches to data management. Moreover, the increased regulatory scrutiny of the financial services community during the past year has meant that data management has become a key...