This webinar explores how agentic AI is transforming the way investors, research teams and enterprises interpret global events and market-moving information. Wilson Chan, CEO of Permutable, will discuss how multi-agent AI systems can detect emerging narratives, assess market significance and generate actionable intelligence in real time. Designed for data buyers, investment professionals, quantitative researchers and decision-makers.

Artificial intelligence is rapidly changing how organisations process information. Yet despite advances in large language models and generative AI, many institutions continue to face the same underlying challenge: too much information, too little context.

For investors, traders, economists and risk teams, the issue is rarely a lack of data. Global news, research, economic releases and market commentary are generated continuously across thousands of sources and dozens of languages. The challenge is understanding which developments matter, how they connect to one another and what implications they may have for markets.

This challenge is becoming increasingly important as markets respond to information at a speed and scale that traditional research workflows struggle to match.

On 9 June 2026, Wilson Chan, CEO of Permutable AI, will discuss how a new generation of agentic AI systems is helping address this problem during the webinar, Beyond Automation: The Future of Agentic AI Workflows, hosted in partnership by Eagle Alpha and also featuring Sphinx AI.

The session will explore how multi-agent AI architectures are reshaping the way organisations monitor, interpret and act upon information in real time.

From information overload to intelligence generation

The financial industry has spent decades investing in better access to information. Market data became digitised. Research moved online. Alternative datasets emerged. More recently however, large language models have made information easier to search, summarise and retrieve. Yet information access alone does not create understanding.

In modern markets, narratives surrounding inflation, monetary policy, economic growth, trade, geopolitics and fiscal risk often begin forming long before they become visible in official data releases or widely accepted market consensus. By the time these developments are fully reflected in traditional indicators, much of the opportunity to act may already have passed.

This is where agentic AI introduces a fundamentally different approach.

Rather than operating as a passive tool that responds only when prompted, agentic systems can continuously monitor information environments, identify relevant developments, assess significance and generate contextual intelligence autonomously. For institutions operating in increasingly complex and fragmented information environments, this shift represents an important evolution in how intelligence is generated.

How Permutable approaches agentic intelligence

At Permutable, our focus has always been on helping organisations understand why markets are moving, not simply what is moving. Our AI-driven infrastructure analyses millions of articles, narratives, macroeconomic developments and market signals to identify emerging themes and assess their potential impact across commodities, currencies and broader macro markets.

As information volumes continue to grow, the next step is not simply processing more data. It is enabling specialised AI agents to work collaboratively to transform information into actionable intelligence.

During the webinar, our Founder & CEO Wilson Chan will explore how multi-agent architectures can be used to:

• Detect emerging events and narratives as they develop
• Filter irrelevant information and reduce market noise
• Assess sentiment, significance and potential market impact
• Connect seemingly unrelated developments across markets and regions
• Map implications across commodities, currencies and macro assets
• Generate explainable, decision-ready intelligence for investment and risk teams

The objective is to augment decision-making by ensuring analysts and investors can focus their attention on the developments that matter most.

Why agentic AI matters for financial markets

Financial markets have become increasingly information-driven. A geopolitical development in one region can quickly influence commodity prices, inflation expectations, monetary policy assumptions and investor sentiment elsewhere. The challenge lies in identifying these relationships quickly enough to support informed decision-making.

Traditional workflows often rely on analysts manually gathering information from multiple sources before interpreting its significance. Agentic AI however enables a more continuous process of observation, interpretation and contextualisation.

Instead of searching for information after an event occurs, organisations can move towards continuously monitoring evolving narratives and understanding how they may influence markets in real time. This distinction is becoming increasingly important for investment firms seeking differentiated sources of insight and competitive advantage.

The next phase of AI adoption

The next phase of AI adoption in financial services is unlikely to be defined by better chatbots alone. It will be shaped by systems capable of continuously interpreting information, reasoning across multiple data sources and delivering intelligence that is contextual, explainable and actionable.

As information environments become more complex, organisations will increasingly require technology that can bridge the gap between raw information and decision-making. At Permutable, this underpins our ongoing work across narrative intelligence, macroeconomic signal generation and agentic AI research.

The webinar provides an opportunity to learn how these technologies are evolving and what they mean for the future of investment research, market intelligence and risk management.

Join the Webinar