AliBtrip Launches Dual-Agent AI for Business Travel to Cut Costs, Strengthen Compliance, and Enhance Employee Experience
AliBtrip launches an AI travel platform that cuts costs, boosts compliance, and speeds planning. Managers get real-time controls; employees get quicker, policy-safe itineraries.

AI Business Travel That Cuts Costs, Tightens Compliance, and Improves Employee Experience
AliBtrip, the business travel platform under Fliggy of Alibaba Group (NYSE: BABA, HKEX: 9988), has launched an integrated AI solution built for corporate travel. It combines an employee travel agent for personalized planning and a corporate management agent for financial oversight and compliance. Backed by Alibaba's ecosystem, AliBtrip reports service to 20,000+ leading enterprises, 1,000,000+ growth companies, and 20,000,000+ corporate travelers.
"The foundation of business travel services lies in trust between employees and companies," said Zhuoran Zhuang, Vice President of Alibaba Group and CEO of Fliggy. "AliBtrip's solution aims to transform AI capabilities into tangible benefits, reducing both visible and hidden costs while enhancing value for our clients."
What managers gain
- Higher policy compliance at the point of booking, not after the fact.
- Real-time visibility into spend, with clear, quantitative controls you can adjust in one click.
- Less manual analysis and back-and-forth - the system flags outliers and proposes actions.
- Better employee satisfaction through faster planning and smarter options within policy.
How it works
- Multiple intelligent agents coordinate tasks, with long-/short-term memory and real-time deployment using the Model Context Protocol.
- A live pricing database covers flights, hotels, transport, and dining for practical, current recommendations.
- Exclusive datasets mirror each client's travel standards and employee preferences to align with policy and culture.
- A strategy center and natural-language interface streamline governance and decision-making.
- Historical travel data analysis surfaces risks and inefficiencies before they become issues.
Employee experience without policy friction
The employee agent builds complete itineraries from three inputs: purpose, time, and destination. After confirming departure and arrival, it generates tickets, hotels, and ground transport while considering weather and check-in times.
- Real-time assistance adds reminders and recommendations that stay within corporate standards.
- Fewer steps, fewer errors - lower risk of budget overruns and non-compliant bookings.
- Practical savings ideas, like early business-class flights that avoid overnight stays or hotels that fit preferences within budget.
"Employees should be served, not restricted," said Shenyang Shi, General Manager of AliBtrip. The platform's planning algorithms, intent recognition, and route optimization aim to meet cost goals and employee needs at the same time.
Management controls that scale
- Real-time strategic analytics reduce transactional workload in finance and admin.
- Clear indicators and intuitive examples help leaders adjust policies with confidence.
- One-click changes push updated rules straight into the booking flow.
Scale and ecosystem
AliBtrip's AI is powered by operational data from Fliggy's travel network and Alibaba's broader ecosystem. For context on the parent company and its platforms, see Alibaba Group.
About Fliggy
Fliggy, a wholly-owned subsidiary of Alibaba Group, is one of China's leading online travel platforms. It supports merchants - especially small and medium-sized businesses - with digital operations and access to the Group's user base, and continues to promote the digital transformation of the tourism industry.
Next steps for leadership
- Define travel KPIs (policy adherence, average trip cost, booking lead time, traveler satisfaction).
- Pilot with a clear policy set and a representative employee cohort; compare pre- and post-pilot metrics.
- Integrate HR and finance datasets to personalize options and automate reconciliation and audit trails.
- Review quarterly: tighten rules where leakage occurs and expand where employee satisfaction proves cost-neutral.
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