2024 Highlights: How AI and ipushpull are Transforming Financial Data Workflows

As 2024 comes to a close, we reflect on an extraordinary year for both AI adoption and financial workflow transformation. At ipushpull, we've continued to innovate, enabling artificial intelligence (AI) and data tools to seamlessly integrate into financial workflows, driving better outcomes for our customers.

This year, AI’s potential became clearer than ever: it’s not just about large language models (LLMs) or futuristic concepts—it’s about real, tangible efficiency gains. From Named Entity Recognition (NER) to Retrieval-Augmented Generation (RAG) and chat automation, ipushpull has positioned itself as a toolbox for AI enablement, transforming data and workflows across the financial markets.

Let’s look at this year’s highlights and explore how ipushpull became an enabler for AI-driven transformation.

Bringing AI Closer to Financial Workflows

Artificial intelligence is only as effective as the data it can access. At ipushpull, our mission has always been to make data transmission, transformation, and connectivity as frictionless as possible. This year, we expanded our suite of tools, introducing new ways for clients to leverage AI capabilities across their workflows.

Rather than building LLMs ourselves, ipushpull bridges the gap between financial market data and AI tools. By enabling seamless access to structured and unstructured data, we’ve helped customers extract insights, automate processes, and integrate AI into their workflows where it matters most.

As highlighted in our blog, How ChatGPT and Chatbots are Transforming Financial Markets, AI-powered chat tools are revolutionising communication, reducing manual tasks, and improving decision-making across trading desks and middle/back-office functions. From summarising unstructured chat data to automating responses, simple AI tools often solve big problems—and ipushpull enables it all.

Collaborating with AWS Bedrock: Expanding Possibilities for Generative AI

Our collaboration with Amazon Web Services (AWS), which began in spring 2023, continued to deliver significant innovation in 2024. By leveraging AWS’s generative AI service, Bedrock, we’ve enabled Large Language Models (LLMs) to address key challenges in capital markets workflows.

The initial proof-of-concept (PoC) with AWS focused on LLMs and extracting financial data points from unstructured natural language in chat platforms. Building on this success, we expanded into additional AI-powered use cases, including Named Entity Recognition (NER), such as:

• Natural-Language Queries: Allowing users to intuitively query securities reference data using plain language, with results delivered securely and swiftly.

• Trade Booking Automation: Extracting trade confirmations from chat messages and preparing them for seamless integration into OMS/trade systems.

• IRS Axe Ingestion: Recognising and extracting complex data attributes from chat-based workflows, enabling streamlined reporting and analysis.

As explored in our blog Amazon Web Services & ipushpull: Revolutionising Financial Data Workflows, this partnership proved that ipushpull enables AI tools to seamlessly integrate into real-world financial workflows, driving efficiency and accuracy.

Hybrid Approaches: FIX and REST APIs Coexisting

Another key theme this year was the evolution of APIs. Our blog Are FIX APIs Dominant, or Should You Take a REST!? explored how financial institutions are increasingly embracing hybrid API models—combining the flexibility of REST APIs with the robustness of FIX.

ipushpull has been at the forefront of this transformation. By enabling post-trade FIX messages to be transformed into REST-ready, chatbot-readable outputs (e.g., Symphony integrations), we’ve helped customers seamlessly share data, automate workflows, and reduce friction in their processes.

As APIs and chat platforms become increasingly interconnected, ipushpull ensures firms can choose the best tools for the job—without being tied to a single standard.

Enabling AI-Driven Chat Strategies

The importance of chat as a workflow hub became undeniable this year. In our "What is Your Chat Strategy?", with Andreas Hoff, Head of Product at Trayport, we explored how financial institutions embrace human-in-the-loop AI workflows.

Andreas highlighted how AI tools can extract insights from unstructured chat data—like prices, volumes, and trade requests—while maintaining human oversight. This aligns perfectly with ipushpull’s approach: using AI to augment, not replace, human workflows.

Similarly, our "Are Chatbots Taking Over?" podcast with Symphony and Derivia Intelligence (formerly FOW) showcased how bots enable users to interact with live data directly within their chat platforms. By reducing friction and streamlining workflows, chatbots—powered by ipushpull—are enhancing efficiency across trading, operations, and compliance teams.

With tools like ChatGPT now able to interpret natural language, the days of rigid syntax-based commands are fading. As highlighted in our podcast "How ChatGPT and Chatbots are Changing Financial Markets", ipushpull explores how natural language inputs can enhance our bot framework, allowing users to query data intuitively and instantly.

From Omnichannel Delivery to AI-Enabled Transformation

This year marked a turning point for ipushpull as we evolved from an omnichannel data transmission platform to an AI-enabled data transformation and management platform.

Our unique selling point lies in our ability to:

• Transform and transmit data seamlessly, regardless of format or channel.

• Enable AI tools like NER, RAG, and LLMs to process unstructured data and deliver actionable insights.

• Provide a unified platform to control user and agent access to data, ensuring flexibility, security, and compliance.

Looking Ahead to 2025

As we move into 2025, ipushpull remains committed to empowering financial services with tools that transform workflows and unlock new efficiencies. From AI-powered automation to deeper integrations across chat, APIs, and data platforms, we will continue to push boundaries—making it easier than ever for customers to access and act on their data.

Thank you to our customers, partners, and team for an incredible year. Here’s to an even more transformative 2025!

For more information on how ipushpull can enhance your workflows with AI tools, chat integrations, and data transformation, get in touch with us today or read our latest report, What is Your Chat Strategy?