Transformation timeline
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The Challenge
The client’s subscribers were struggling to quickly find answers to their questions. Traditional search surfaced a high volume of results and forced users to wade through lengthy knowledge articles, slowing down resolution and driving up support case volumes.
The existing chat channel lacked intelligent automation, which meant customer queries frequently escalated to support teams, increasing operational load and impacting customer satisfaction.
The client needed an AI-driven search and chatbot capability that could reduce the volume of search results, minimize the need for extensive review of knowledge articles, efficiently resolve customer queries, and decrease dependency on support teams, all at enterprise scale and across multiple languages.
Our Approach
Dual-Approach Evaluation
We proposed two implementation options based on our analysis: a no-code GCP solution, and a customizable platform with a bespoke UI with a pipeline built using Python SDK on Google Matching Engine.
No-Code GCP Solution
The client selected a no-code approach on Google Cloud Platform, enabling rapid configuration of embeddings, vector store, and LLMs through the GCP GUI for faster time-to-value.
Automated Salesforce-to-GCP Document Pipeline
Built and automated a pipeline with scalable REST API integration to continuously bring Salesforce knowledge documents into Google Cloud Platform, ensuring the Gen AI engine always draws from fresh, enriched enterprise content.
Gen AI Bot Integration
Implemented a Generative AI bot on the homepage, finder search, and case creation page to efficiently resolve customer queries within the existing chat channel and reduce dependency on support teams.
Roadmap for Customization
Laid the foundation for subsequent phases where the fully customizable platform, built on Python SDK with Google Matching Engine, will be leveraged to deliver richer, tailored subscriber experiences.

Impact to Date
90+%
11
Key Outcomes
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Streamlined information retrieval through AI-driven search, reducing the volume of results and the need to review lengthy knowledge articles.
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Reduced dependency on support teams by resolving customer queries directly within the existing chat channel.
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Improved customer satisfaction with fast, accurate multilingual support.
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Accelerated time-to-value by deploying the no-code GCP solution in Phase 1 while keeping a clear path to a fully customizable platform.
- Delivered a future-ready architecture with an automated knowledge pipeline and scalable REST API integration.
