Agentic AI: Revolutionising Business Travel for Sustainability and Productivity
By James Dent, Chief Strategy & Sustainability Officer
& Niclas Stoltenberg Chief Technology Officer
Introduction: What is Agentic AI?
Transforming Business Travel: Smarter, Lower Emissions, and More Cost Effective
Cost Savings and Sustainability Through Lowest Logical Emissions
Example Scenario
A SaaS tech company and the sales leadership team will attend SaaSr in San Francisco, USA.
Travellers: VP Sales - London Office, Head of Partnerships - London Office, Head of EMEA - Berlin Office
Tech Travel Company Work-Flow
Step 1
VP Sales informs the EA to make necessary arrangements.
Step 2
EA Slacks Head of Partnerships + Head of EMEA + VP Sales to understand trip preferences.
Step 3
EA starts to explore possible options on a booking platform
Step 4
EA manually attempts to find options based on dates, company policy, each traveller location, traveller preferences, cost, speed and Lowest Logical Emission (if available on the platform)
Step 5
EA creates draft trips for each traveller
Step 6
EA sends 3 Slack messages and each reviews their trip
Step 7
Travellers confirm booking via Slack
Step 8
Booking sent for approval to the 3 travellers
Step 9
Trip Booked
Agentic AI Work-Flow
Step 1
VP Sales informs the EA to make necessary arrangements.
Step 2
EA creates calendar invites
Step 3
AI Agents interpret
-
- Calendar invite
- Trip dates + location
- Travel policy
- Traveller location
- Traveller preferences
- Trip cost
- Trip time
- Lowest Logical Emissions
→ booking generated
Step 4
Trip Booked
The Future of Business Travel
- ICAO, DEFRA, EPA Reports on Aviation Emissions Methodologies.
- Bernard Marr (2024), “Agentic AI: The Next Big Breakthrough That’s Transforming Business and Technology”.
- CDP (2022), Carbon Brief (2016).
- McKinsey & Company (2020), Transport & Environment (2023).
- Science Based Targets Initiative (SBTi) (2021).
- Masterman, T., Besen, S., Sawtell, M., & Chao, A. (2024). The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey. arXiv.https://arxiv.org/pdf/2404.11584
- Stroman, A. (2023). Generative AI agents will revolutionize AI architecture. InfoWorld.https://www.infoworld.com/article/2337474/generative-ai-agents-will-revolutionize-ai-architecture.html
- Marr, B. (2024). Agentic AI: The next big breakthrough that's transforming business and technology. Forbes.https://www.forbes.com/sites/bernardmarr/2024/09/06/agentic-ai-the-next-big-breakthrough-thats-transforming-business-and-technology/