DN Nucleus CEs go [AI]gentic

This interactive tool is designed to help our team identify day-to-day pain points and brainstorm high-impact use cases for AI agents. The goal is to discover how AI can enhance our productivity and effectiveness.

Navigate through the sections using the sidebar to explore common CE activities. In each section, you'll find typical pain points. Use the ✨ AI Agent Idea Generator ✨ to brainstorm new ideas, and finally, use the Prioritization Tool to plot and discuss them.

1. Preparing for Customer Meetings

This phase involves researching the customer, understanding their current Google Cloud footprint, identifying relevant use cases, preparing technical content, and anticipating questions.

2. Following Up on Customer Meetings

This involves synthesizing meeting discussions, capturing action items, drafting personalized follow-up emails, and sharing relevant resources.

3. Upskilling on New Cloud Topics

Continuous learning is critical for CEs to stay current with the rapid pace of innovation on Google Cloud.

4. Using Data Insights for Scaled Programs

This involves analyzing customer data to identify trends, derive insights, and develop technical programs that can benefit a broad set of customers.

5. Sales Hygiene Tasks

These are routine administrative tasks crucial for sales operations, including updating CRM systems and logging customer interactions.

✨ AI Agent Idea Generator ✨

Describe a Customer Engineer task or pain point, and let our AI brainstorm potential agent use cases to solve it! This feature leverages Large Language Models to spark new ideas for automation and efficiency.

6. Prioritizing Use Cases

Plot your brainstormed AI agent ideas. Rate each on its potential impact (Relevance) and how hard it is to build (Feasibility). This helps identify "Quick Wins" and "Strategic Bets".