Request a Consultation

Client Profile

The client is a leading asset management and investment firm that publishes industry news and research reports relevant to financial services professionals on their platform. Subscriber organizations leverage the platform to stay updated on current market trends, regulations, and innovations. Online users can utilize the platform to read published reports, synthesize insights, and provide feedback on research reports.

The Challenge

Traditional keyword-based search system led to sub-par user experience, resulting in customers reaching out for support

The client has a web-based platform (knowledge base) that offers their user base insights into the financial services domain through research reports and industry news. The platform had a traditional search system based on keywords; it lacked the context of the search query in the semantics of the financial industry.

Users in this digital age anticipate instant, contextual responses to their queries-something their existing searching conventions failed to provide. To maintain the platform’s relevance and effectiveness, the organization needed to adapt to evolving user preferences. This could only be achieved by transitioning to an advanced semantically driven search system.

Additionally, the client wanted complete ownership of the data present on their platform. Their objective was to transform the wealth of information into a user-friendly, accessible format so that only relevant data was extracted from the knowledge base to answer a user query. Through all these enhancements, the client aimed to achieve elevated user engagement and experience.


Client’s platform lacked an advanced search system providing contextually rich responses

Basic keyword-driven search hampered user experience

Need to transform massive information on the platform into a user-friendly format

The Solution

A generative AI chatbot using LLM technology to provide users with accurate, contextual responses

Requirement Assessment

Damco’s A specialists carried out a detailed assessment of client’s requirements through insightful discussions with the stakeholders.

Implementation of Generative AI Chatbot

Post-assessment, the team selected to implement an advanced AI-driven chatbot that leverages the generative capabilities of LLM (Large Language Model) to fetch accurate, human-like responses to user queries, leading to enhanced user experience and reduced manual communication.

Creation of a Structured Knowledge Base

Our experts used relevant information sources such as research reports, internal documents, and external databases to develop a comprehensive knowledge base the chatbot could use to extract the necessary data and generate accurate responses. This knowledge base would remain agnostic to the LLM provider.

Development of a Scalable, Flexible Chatbot Solution

To ensure its long-term viability and adaptability, we focused on building a scalable, flexible chatbot not confined to any specific software architecture. We also addressed the client’s security requirements, making sure the solution aligns with the rigorous data protection standards of their industry.

In-Depth Analysis of LLM Providers

Our team also conducted a comprehensive analysis of various LLM providers, based on factors such as cost, response time, response quality, and ease of integration. The objective was to assist the client in choosing a cost-effective yet high-performing LLM provider that aligned with their accuracy, speed, and integration requirements. We also presented the pros and cons of fine-tuning and hosting an open-source LLM.

Optimization of Generative AI Chatbot

We fine-tuned the AI-powered chatbot to further ensure a high degree of accuracy, fluency, and conciseness in responses. Responses for a sample query were gathered after which manual and expected responses were provided to the AI model. This was done through an expected response matrix.

Value Delivered

Enhanced user engagement, improved scalability, and less internal resources required to answer user queries.

  • The generative AI chatbot drastically improved user interaction on the client’s platform. With an interface delivering accurate, contextually relevant responses and summarizing complex information, the platform helped users save time and drew in more customers.
  • Besides implementing the generative AI solution, we trained the client’s tech team on how they can leverage LLMs and AI to enhance their long-term digital strategy and offerings. We also devised a well-thought-out roadmap on how they can integrate the solution with their existing infrastructure.
  • A flexible, scalable AI-powered chatbot enabled the client to prepare for future advancements, helping them stay at the forefront of the technological revolution. The chatbot also allowed them to stand out from the competition.
  • A comprehensive analysis of various LLM and AI technologies equipped the client with insights regarding their ongoing and future tech investments, empowering them to make informed decisions in an evolving tech landscape.
Value Delivered with Gen AI Chatbot

Let’s Connect