Desktop interoperability specialist interop.io has today unveiled io.Intelligence, a new initiative designed to enable financial institutions to securely deploy and scale AI copilots within their existing technology infrastructure. The launch aims to bridge the gap between the powerful potential of AI and the practical realities of complex, highly regulated enterprise environments.
The new offering provides human-guided AI copilots that integrate directly into a firm’s current applications and workflows. This approach is designed to accelerate the adoption of AI by allowing firms to enhance their existing systems rather than replacing them, ensuring that new capabilities operate within established governance and security frameworks from day one.The move comes as the financial industry grapples with how to best leverage artificial intelligence to improve efficiency and decision-making without compromising on security or compliance. For trading desks, the ability to seamlessly integrate AI-driven insights and automate routine tasks across a disparate array of applications – from order management systems to news feeds and analytics platforms – presents a significant opportunity to enhance performance.
“Interoperability has the potential to become the foundation of our clients’ AI strategies,” said Leslie Spiro, CEO of interop.io. “With io.Intelligence, enterprises can bring AI copilots into production that coordinate tasks across systems, complete workflows end-to-end, and operate within existing governance. What makes this different is that these copilots fit seamlessly into how enterprises already work – dissolving boundaries between systems.”
interop.io, formed from the 2023 merger of Glue42 and Finsemble, has a well-established footprint in financial services, providing the underlying technology that connects applications on traders’ desktops. The firm’s core value proposition has been to eliminate the ‘toggle tax’ problem, where users constantly switch between siloed applications. With io.Intelligence, the company is extending this capability to the AI domain, allowing copilots to take context-aware actions across the entire desktop environment.
The initiative is timely, aligning with a broader industry trend towards “agentic AI”, systems that can perform complex tasks with a degree of autonomy. A forecast from Gartner, cited in the announcement, predicts that by 2028, 33% of enterprise applications will integrate agentic AI, which will handle up to 15% of everyday decisions.
The io.Intelligence offering is built on three core pillars:
- Cross-application copilots: Production-ready assistants that can execute end-to-end workflows and automate tasks across multiple applications.
- Secure, auditable, and rapid AI deployment: A framework that ensures copilots are deployed within existing permissions, maintaining compliance, visibility, and accountability.
- AI advisory and implementation: A dedicated team to work with clients on the oversight and continuous improvement of their AI initiatives.
Leading the new division is Bob Myers, as Head of io.Intelligence, who will oversee research and product development. He is joined by Andy Menzies as Commercial Director, who brings extensive experience in AI and machine learning to guide the go-to-market strategy.
“io.Intelligence improves the outcome of AI copilot adoption for today’s business needs, while preparing organizations for broader use of agent-based systems as the technology matures,” said Myers. “Our clients are deploying actionable copilots in weeks, not months, within current applications and user permissions. This incremental path is what leads to long-term AI success.”
For trading technology professionals, the launch of io.Intelligence signals a move towards more practical and integrated AI solutions. Rather than being a standalone tool, the AI becomes an embedded component of the existing workflow, capable of understanding the trader’s context and automating multi-step processes. This could range from generating pre-trade analytics by pulling data from various sources to automating post-trade reporting, all initiated from a single point of interaction. The focus on security and auditability is particularly critical in a trading environment where every action must be logged and compliant.
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