Solution

As part of an initial engagement, Quantiphi undertook a detailed assessment implementation to identify the key steps required to develop a Gen AI-powered auto-email generation system. During this assessment phase, we evaluated Riva’s existing data sources and formats required for the proposed implementation and analyzed the existing process flows to identify gaps in achieving the desired outcome.

Following a successful assessment, we developed a Proof of Concept (PoC) to advance full deployment into production and built a custom Generative AI solution using Amazon Bedrock to:

Provide tailored email recommendations based on the client’s CRM data, streamlining workflows
Ensure secure data isolation for each customer through a multi-tenant architecture
Establish a comprehensive logging, monitoring, and notification system
Deploy the solution into Riva’s production environment using automated pipelines with AWS services like Terraform and CodePipeline, or other third-party automation tools

Results

Delivered hyper-personalized, auto-generated email recommendations to strengthen client relationships.
Maximized CRM data usage, aligning with Riva’s business goals and driving substantial growth.
Automated reminders to streamline communication and manage action items for end users.

This innovative AI-driven approach has revolutionized how Riva engages with clients, setting a benchmark for CRM optimization.

Testimonials By Riva Engine

“We’re always looking for better ways to help our customers automate and accelerate their sellers’ workflows. Teaming up with Quantiphi and AWS allowed us to bring AI to our platform and find new ways to address these problems. With their technology and expertise, they were able to quickly assess our existing data flows and helped us to strategize the best way forward.”
Richard Mao, Chief Architect, Riva Engine

“We’re excited about what this means for our customers. Based on our early estimates, email turnaround times could drop by 40%, and manual workloads by 30%. By leveraging AI and the AWS ecosystem, we’re transforming the way our clients operate and could achieve a 15% boost in customer satisfaction (CSAT).”
Victoria George, VP of Product, Riva Engine