Lower support costs and maintain trust at scale with fast resolution for rider and driver issues.
Average queue wait time
Most requests are routine
Training & turnover expenses
Traditional ride-sharing support is reactive and labor-intensive. Riders expect immediate answers, while drivers need timely resolution of pay and account issues. Most incoming requests are repetitive (fare adjustments, lost items, driver contact). Delays in resolving issues lead to rider churn and driver dissatisfaction. Recruiting and training large support teams is expensive and turnover is high. Support is spread across in-app chat, phone, email, and social media without unified handling.
AI agents are trained on ride-sharing terminology and workflows: fares, trips, cancellations, and ratings. They understand the unique challenges of both riders and drivers.
Calls and messages are answered instantly - no hold times
Routine issues (lost item, overcharge, payment delay) are fully resolved without human intervention
Complex or safety-related cases are handed to human agents with full case context
Current Flow (IVR): Rider disputes a charge → waits in queue 10+ minutes → explains the issue multiple times → resolution may take 24–48 hours.
With Lucy's AI Voice Agent: Rider states: "I was charged twice for yesterday's trip."
→ Lucy Agent verifies the trip, confirms duplicate charge, initiates refund, and emails a receipt.
→ If additional investigation is needed, case is escalated with all details passed to a human agent.
Instant resolution for common rider issues
Comprehensive safety and intelligent routing
Immediate incident reporting
Fast escalation for safety-related issues with proper documentation
Fraud detection and flagging
Automated identification of suspicious patterns and activities
Escalation to safety team
Direct routing of critical issues to specialized safety personnel
Callback management
Intelligent queue management and callback scheduling
Ticket creation via SMS or in-app
Seamless ticket generation across multiple channels
Routing by issue type
Smart categorization and routing to appropriate departments
Integration with existing tools
Seamless connection with current support infrastructure
Reduce average handling time for common issues
Lower operational costs by automating repetitive tasks
Maintain compliance through structured escalation workflows
Improve satisfaction for both riders and drivers
Most support companies spend the majority of their time on repetitive, low-value inquiries. AI Voice Agents remove that burden so that your company can scale and solve customer inquiries while your staff can focus on high-impact work.
We'll review your current support process, identify bottlenecks, and show you how automation can create measurable improvements.
LucyHub AI voice agents serve multiple industries across Ethiopia and East Africa.