All Works
2024

Sales AI

RPAAIProduct

AI-powered sales automation combining RPA and LLMs for lead acquisition and nurturing.

Sales AI automates the full lead lifecycle — from finding prospects to nurturing relationships — by combining RPA for data collection with LLMs for personalized outreach. What started as a sales assistant evolved into a "Digital Employee" platform after user research revealed a critical insight about how salespeople define value.

RPA + AI Synergy


The Insight: Market RPA tools were mature for data scraping, and LLMs excelled at personalized communication — combining them could cover the full sales lifecycle.
The Solution: I designed a system targeting the complete "Find-Nurture-Convert" pipeline.
RPA (Data Collection): Automates the labor-intensive lead prospecting process.
AI (Relationship Building): Handles personalized outreach and conversion, replacing the need for large junior sales teams.

Task Trigger Modal

Task Trigger Modal

Active Task List

Active Task List

Building User Trust


Fear of Automation: In China's sales industry, teams often use dedicated Android phones for client management. To reduce anxiety towards "complex scripts," I designed within this familiar environment.
Human-Centric Design:
Task Ball Interaction: A simple floating ball interface — approachable rather than technical.
Routine-Based: Timed reminders at natural breaks (Lunch, Dinner, Sleep) to start tasks.
Transparency: Users can interrupt anytime and see real-time progress, making the AI feel like a helpful assistant rather than an uncontrollable script.

Home / Daily Tasks / Client Resources

Home / Daily Tasks / Client Resources

From Assistant to Digital Employee


The Pivot: Initial positioning as a "Sales Assistant" failed — user research revealed salespeople only cared about the result (valid leads), not the process. This was the strongest proof of strategic product thinking in the project.
"Digital Employee" Evolution:
I led the strategy shift to reposition the product as a standalone "Digital Employee" department. The system now integrates directly with CRM to deliver qualified leads, while the client-side AI focuses on relationship maintenance — auto-engaging with clients' social media posts and writing personalized, human-like replies to build genuine connections.