Rippling Boosts Sales Efficiency with AI-Driven GTM Platform
With the launch of GrowthOS, Rippling empowers its teams with real-time analytics, transforming how they engage with opportunities and streamline operations, all powered by AI-driven Genie Agents.
Key Facts
- Rippling's unified GTM platform led to a 33% increase in demos booked, enhancing sales efficiency.
- AI-driven insights reduced manual workflows, improving operational speed and decision-making agility.
- Genie Agents provide real-time analytics, creating a competitive edge in personalized outreach strategies.
- The platform's rapid deployment (under 3 months) indicates strong adaptability and innovation in GTM.
- Centralized governance ensures data integrity, reducing risks and fostering trust among GTM teams.
Summary
Summary
Rippling, a company focused on streamlining HR and IT processes, faced challenges in providing timely and trusted data for its go-to-market (GTM) teams as they scaled. By implementing a unified GTM AI platform on Databricks and integrating Genie Agents into their GrowthOS, Rippling achieved a 33% increase in demos booked and a 20% increase in new opportunities.
Background
Rippling operates in the HR and IT management industry and has over 2,800 employees. Before deploying the new AI-driven platform, the company relied on traditional reporting workflows that could not support the real-time analytics needed by its growing teams. This limitation hindered their ability to personalize outreach and respond quickly to emerging opportunities.
Challenge
The primary challenge was the existing data architecture, which was designed for traditional analytics rather than real-time AI workflows. This architecture introduced latency and fragmented business logic, making it difficult to provide consistent, governed insights across the organization and to AI agents.
Solution
Rippling rebuilt its GTM data platform on Databricks, utilizing a medallion architecture, Lakeflow Spark Declarative Pipelines, Delta Lake, and machine learning pipelines. The core of this solution is GrowthOS, an internal AI application that allows employees to interact with trusted business data through natural language queries. Genie Agents access the same governed data via the Genie API, enabling automated analysis and insights.
Results
The implementation of the unified GTM platform led to a 33% increase in demos booked and a 20% increase in new opportunities. Additionally, the platform transitioned from zero to a core piece of production infrastructure in less than three months, significantly reducing reliance on manual GTM workflows.
Key Insights
Organizations looking to enhance their data analytics capabilities should consider building a unified platform that supports both human and AI interactions. Centralizing data governance and enabling natural language queries can lead to faster decision-making and improved operational efficiency.
Customer Testimonial
“Genie became the conversational layer for our GTM AI platform, giving teams and AI agents access to trusted data through a single, governed interface.” — John Kutay, Head of Growth Engineering at Rippling.
Entities Mentioned
Companies
Products
Technologies
People
Key Concepts
Definitions
- Genie
- A conversational analytics capability that allows users to query governed data using natural language.
- GrowthOS
- Rippling's internal AI application that provides a unified interface for accessing trusted business data.
- entity resolution
- The process of reconciling customer and prospect records to create a single trusted record.
- medallion architecture
- A data architecture approach used by Rippling to build its GTM data platform on Databricks.
- semantic search
- A search technique that enhances query results by understanding the context and meaning of the search terms.
Use Cases
- →Analyze campaign performance
- →Understand customer sentiment
- →Investigate sales objections
- →Retrieve account intelligence
- →Automate workflows across the customer lifecycle
- →AI-driven personalization in sales
Frequently Asked Questions
What is Genie?
Genie is a conversational analytics capability built into the Databricks Data + AI Platform. It allows business users to query governed data using natural language while ensuring centralized governance.
How does GrowthOS benefit employees?
GrowthOS provides over 2,800 employees with a single interface to access trusted business data, reducing the need for manual data collection and enabling faster decision-making.
What is the significance of entity resolution?
Entity resolution is crucial as it reconciles duplicate customer and prospect records, providing a consistent foundation for analytics and automation for both employees and AI agents.
How does Rippling ensure data governance?
Rippling maintains data governance by using Genie, which provides a governed conversational interface for accessing data, ensuring that both employees and AI agents operate on a trusted data foundation.
What improvements did Rippling see from AI-driven personalization?
Rippling measured a 33% increase in demos booked and a 20% increase in new opportunities as a result of AI-driven personalization built on their unified GTM platform.