Enhancing Deal Insights with MeetingIQ

A prominent Mergers and Acquisitions (M&A) and private capital markets advisory firm streamlined meeting insights using QuantSpark’s Generative AI-powered MeetingIQ, increasing efficiency and deal-making potential.

The Challenge: Manual and Onerous Data Search to Uncover Relevant Insights

Over the years, the firm had amassed a vast repository of meeting notes from interactions with financial advisors, investors, and firms seeking investment. However, the existing system for storing these notes was not designed for efficient retrieval, summarisation, or synthesis of insights. Manually searching through unstructured records was slow and laborious, making it difficult to extract valuable takeaways from past meetings.

Beyond the challenge of surfacing relevant and timely insights, the firm also struggled to effectively track the next steps and action items.

With no streamlined way to follow up on key discussions or ensure that critical tasks were completed, there was a risk of missing opportunities or failing to act on important commitments.

As a leading deal advisory firm operating in the high-stakes world of deal-making across fast-paced and constantly evolving sectors, the firm needed every possible competitive advantage. With each deal worth approximately seven figures (£), improving efficiency in deal origination and execution was critical.

Without an effective system to quickly locate, summarise, and verify key meeting insights, and ensure that action items were properly tracked, valuable opportunities risked being overlooked. This inefficiency not only hindered decision-making but also reduced the firm's ability to maximise its deal-making potential.

The Solution: Leveraging AI and Agentic Workflows for Smarter Search  

QuantSpark proposed a cutting-edge AI-driven solution, MeetingIQ, designed to transform note retrieval and insight generation. The core of this approach was an agentic AI system, a technology that autonomously selects and executes tasks using a structured reasoning process.

Through the ingestion and structuring of meeting notes into a centralised database, QuantSpark provided the tool with the data to enable MeetingIQ to intelligently gather and synthesise meeting notes using the power of an AI agent and the most powerful LLM models.

How It Works:

MeetingIQ uses a RAG framework to retrieve relevant information from its database in response to a user’s query. The specific retrieval methods deployed within MeetingIQ include Semantic Search (context-based retrieval) and Text-to-SQL (structured data filtering).

Semantic Search

• Uses a Large Language Model (LLM) to generate relevant pre-filters, and uses a vector database to query meeting notes based on the semantic similarity of the document to the input query
  
  
• Performs well with queries seeking to find meetings related to topics of discussion and/or themes

Text-to-SQL

• Uses an LLM to generate SQL queries to fetch data that is relevant to the natural language input query
  
  
• Performs well with queries requesting specific relevance conditions

MeetingIQ uses an agentic AI workflow to intelligently retrieve and synthesise insights from unstructured meeting notes. The system follows a structured decision-making process that ensures accurate and efficient responses to user queries.

Conversation-Based Search

Users can conduct free text searches using natural language via the chatbot interface, enabling search queries based on company attributes, as well as complex and diverse subject matter.

Multi-Tool Agent Router

MeetingIQ processes user queries through an agent-powered system that strategically selects the best retrieval tools for the query, choosing between semantic search or text-to-SQL. This allows for queries to be routed to the tool that is most appropriate given the nature of the request.

Information Retrieval

The information relevant to the user query is gathered using the RAG tool(s) that the agent deems most suitable for the task at hand.

Intelligent Memory Management

To prevent information overload, the AI employs a selective memory method, summarising only relevant historical interactions when responding to queries.

Iterative AI Decision Making

The agent continuously evaluates the query, determines the best course of action, and refines results before generating a response.

Automated Summarisation & Source Verification

The tool delivers summaries of multiple meetings and verifies sources by linking responses back to the original meeting notes for traceability.

This AI-powered workflow significantly reduced manual effort and improved the speed and accuracy of retrieving critical information. 

The Results

MeetingIQ has enhanced the firm's ability to surface and act on relevant insights, providing a platform that supports their deal execution process and delivers tangible results:

• Faster Insights:  The AI system enables users to surface relevant meeting insights in seconds rather than hours.
  
  
• Enhanced Transparency through the inclusion of linked source meeting notes with each surfaced insight, ensuring traceability and verification of sourced data.
  
  
• Validated insight quality and accuracy through programmatic quality assurance, evaluating that the tool demonstrates completeness (capturing all relevant data), correctness (avoiding false positives), and consistency (retrieving the same results across repeated searches).
  
  
• More effective tracking of next steps coming out of meetings, improving the firm's ability to follow up with the right organisations and people at the right time with the right actions.
  
  
• The estimated annual increase in deal close rate of 0.5% to 2%, potentially driving a seven-figure per-deal revenue uplift in the first year, based on the approximate deal value.

By integrating AI-powered intelligence into their workflow, MeetingIQ has transformed how the firm is able to extract value from past engagements, giving them a valuable tool for staying competitive in the M&A landscape.

Learn more about how MeetingIQ can unlock hidden insights in unstructured data through AI-driven solutions and revolutionise decision-making in your organisation.