CRM Insights with AI: TP ICAP's Bedrock Transformation

CRM Insights with AI: TP ICAP’s Bedrock Transformation

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TP ICAP’s Innovation Lab developed ClientIQ, an AI-powered solution leveraging Amazon Bedrock, to transform thousands of underutilized CRM meeting notes into real-time insights. The core definition of ClientIQ is a custom CRM assistant that enables users to query vast Salesforce meeting data using natural language, drastically reducing manual analysis time from hours to seconds. It employs a combination of Retrieval Augmented Generation (RAG) for unstructured notes and text-to-SQL for structured data queries.

The primary benefits include a 75% reduction in research task time and improved insight quality, offering more comprehensive and contextual information. ClientIQ provides full traceability to source Salesforce records, ensuring transparency. By using Amazon Bedrock‘s fully managed services, TP ICAP achieved rapid development, building a production-ready solution in weeks without managing underlying infrastructure. The solution is also cost-effective and scalable.

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Initially, TP ICAP faced the challenge of inefficiently accessing rich qualitative data within tens of thousands of meeting notes. To mitigate potential risks, ClientIQ implements a robust security framework, respecting Salesforce’s granular permissions by mapping Okta group claims to data access, ensuring users only retrieve authorized information. The team also addressed quality and accuracy risks through an automated evaluation strategy using Amazon Bedrock Evaluations, assessing response relevance, factual accuracy, and retrieval precision.

Specific examples of ClientIQ’s capabilities include answering questions like “How were our clients impacted by Brexit?” or generating reports on meeting counts per region. It intelligently routes queries, using models like Anthropic’s Claude 3.5 Sonnet for classification and Amazon Nova Pro for text-to-SQL and topic tagging. Custom data ingestion, hybrid search with metadata filtering, and Amazon Titan v1 for embeddings further enhance retrieval quality and precision. This innovative approach positions ClientIQ to evolve into a broader virtual assistant, continuing to unlock business value across enterprise systems.

(Source: https://aws.amazon.com/blogs/machine-learning/how-tp-icap-transformed-crm-data-into-real-time-insights-with-amazon-bedrock/)

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