Aurora Mobile Launches AI Sales Tool With No Per-Seat Pricing
Aurora Mobile has released an AI-powered conversational sales solution designed to handle customer inquiries in under one minute, the company said on May 25. The tool, built into EngageLab, the company's customer engagement platform, charges based on performance rather than the number of support agents - a departure from traditional software licensing.
The product addresses a specific business problem: response delays cost sales. Research cited by the company shows that failing to reply within five minutes of a customer inquiry causes lead conversion rates to drop sharply. Modern buyers expect responses in under 60 seconds.
How the System Works
The solution combines two components. AI agents handle initial customer contact across WhatsApp, web, and app channels, qualifying leads using the BANT framework - Budget, Authority, Need, Timeline. When the system identifies a high-quality prospect, it transfers the conversation to a human sales representative within that critical one-minute window.
The AI agents work 24/7 in multiple languages, handling inquiries that arrive outside business hours or across time zones. This eliminates the need for night-shift staffing while keeping conversations active.
Real Results From Japan Property Firm
Axios Management, a Tokyo-based property firm serving overseas investors, deployed the system to solve a specific problem: wealthy clients in Europe and the Americas sent inquiries late at night Japan time, and the company couldn't respond quickly enough to capture those leads.
In the first week after implementing EngageLab with AI agents, the company recovered enough cross-time-zone leads to cover 37.5% of the system's cost. "The volume of web inquiries is steadily increasing, and everything is moving exactly in the direction we hoped for," said Tsuyoshi Hikichi, the company's representative director.
The Pricing Model
Aurora Mobile's approach differs from standard SaaS pricing, which typically charges per user seat. Companies often pay for inactive accounts or limit the number of agents they deploy to control costs.
The unlimited agents model removes that constraint. Businesses pay based on results - conversation volume or outcomes - rather than headcount. This lets companies deploy more AI agents without proportional cost increases.
The system integrates with GPTBots.ai, Aurora Mobile's AI infrastructure, to handle the conversational layer.
Why This Matters for Support Teams
Customer support leaders face competing pressures: response times keep shrinking while acquisition costs rise. Staffing enough people to hit one-minute response targets is expensive, especially across time zones.
AI agents handling initial triage and qualification reduce the volume of conversations that require human attention. This lets existing teams focus on complex cases and closing deals rather than screening leads.
For more information on how conversational AI is reshaping customer support, see our guides on AI for Customer Support and AI for Sales.
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