How Omio is building the future of conversational travel

2026-06-24 · Source: OpenAI News · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering, Mobility Services & Technology · Depth: Intermediate, medium

Summary

Omio, a leading multimodal travel platform connecting over 3,000 transportation providers across 47 countries, is undergoing a significant AI-driven transformation in partnership with OpenAI. In 2023, Omio launched one of the earliest conversational travel experiences on ChatGPT, integrating OpenAI models with its live transportation inventory and booking systems to enable natural-language trip planning. This initiative expanded to a dedicated ChatGPT experience, aiming to shift from search-based interfaces to AI-native customer interactions. Internally, Omio rolled out ChatGPT to employees, then deeply embedded Codex into engineering workflows and non-technical functions, aiming to become "AI-native" by redesigning operations. This internal shift has reduced product development effort to approximately 20% of previous levels, accelerating projects from a quarter to about one month. Omio emphasizes maintaining human accountability while using AI to accelerate execution.

Key takeaway

For CTOs or AI Product Managers aiming for enterprise-wide AI adoption, Omio's journey demonstrates that treating AI as a business transformation, not just a tech project, yields substantial benefits. By integrating OpenAI models for both customer-facing conversational commerce and internal workflow redesign, Omio reduced product development effort by 80%. You should prioritize broad AI tool rollout for experimentation, followed by deep embedding into core processes, ensuring human accountability remains central while accelerating execution.

Key insights

Omio is redefining travel discovery and internal operations by becoming AI-native, integrating OpenAI models for conversational commerce and accelerated development.

Principles

• Treat AI as business transformation.
• Redesign workflows, don't just automate.
• Maintain human accountability with AI.

Method

Roll out general AI tools for broad experimentation, then embed specialized AI into engineering and non-technical workflows, building custom integrations for direct execution.

In practice

• Connect AI to live inventory for conversational booking.
• Reduce product development time by 80%.
• Expand AI adoption beyond engineering teams.

Topics

• Conversational AI
• Travel Technology
• AI Transformation
• OpenAI
• ChatGPT
• Codex
• Product Development

Best for: CTO, VP of Engineering/Data, Executive, Director of AI/ML, AI Product Manager, Consultant

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Editorial summary, takeaway, and curation by AIssential. Original article published by OpenAI News.