Corporate travel managers weigh AI adoption as predictive and agentic tools move beyond chatbots

Two-thirds of corporations plan to deploy AI-driven booking and expense tools within six years, moving from support functions to autonomous decision-making. Security, compliance, and traveller trust remain the main barriers to full adoption.

Categorized in: AI News Management
Published on: Apr 07, 2026
Corporate travel managers weigh AI adoption as predictive and agentic tools move beyond chatbots

Corporate Travel Managers Shift From AI Support Tools to AI Decision-Makers

Two-thirds of corporations plan to deploy AI-driven booking, expense and pricing tools across their travel programmes within six years, according to research by Stellar Market Research. The shift marks a move away from AI as a reactive support tool toward AI that makes decisions and acts autonomously.

Travel managers are using AI to predict visa requirements weeks in advance, forecast flight disruptions and automatically rebook travellers before problems occur. JTB Business Travel uses AI to build personalised itineraries based on individual traveller preferences and booking history.

Autonomous AI systems are becoming the standard

Agentic AI-systems that act independently on behalf of users-is emerging as the defining trend for 2026. These systems monitor trips in real time and intervene when disruptions occur, without waiting for a human request.

Eugene Tan, general manager for Southeast Asia and global partnerships at Trip.Biz, said AI has moved beyond chatbots that answer questions. "AI is evolving into a proactive agent that anticipates disruptions and executes complex tasks autonomously," he said.

The shift creates a trust problem. Clients remain cautious about relying too heavily on automation. "AI generates efficiency, but only people generate trust," Tan said. Successful programmes will combine digital speed with human support available during disruptions.

Governance becomes a management priority

Travel managers are taking a measured approach to AI adoption. Security, compliance and duty-of-care requirements shape deployment decisions.

Kerri Homann, travel manager at Rheinmetall Defence Australia and New Zealand, said the priority is ensuring AI systems are "secure, compliant and well governed." The challenge lies in balancing innovation with responsibility.

Travel managers looking to build AI capabilities should focus on AI for Management frameworks that address governance. Understanding how AI Agents & Automation work will help managers evaluate tools and set appropriate guardrails before deployment.


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