Published by Osterreich Werbung and the Destinations-Netzwerk-Austria (dna), this German-language practical guide is written for Destination Management Organisations and tourism regions in Austria with no prior technical background. Authored by Manuela Machner of KiNET.ai, it was produced following the 2025 event Prozessoptimierungen im Tourismus in Linz.
The guide sets out a step-by-step roadmap for implementing a first automation project within four to eight weeks. It draws a clear distinction between digitalisation, automation and artificial intelligence, explaining how even small teams can significantly reduce routine workloads through no-code and low-code tools such as Make.com, n8n and Zapier.
The content is structured around a practical methodology: identifying which processes are suitable for automation, evaluating and prioritising use cases, mapping current workflows, defining target processes, selecting tools, running a pilot and maintaining the system. Concrete worked examples include automating booking requests, form confirmations and social media posting schedules.
For DMOs exploring operational efficiency and workflow automation, this is one of the more thorough practical guides available at destination level. It is grounded in the realities of small tourism teams working with limited budgets and varying technical capacity, and is directly applicable to any destination organisation looking to reduce manual workload.
Part A: Foundations
Part B: Finding and evaluating use cases
Part C: Concrete use case examples
Part D: Step-by-step implementation
Part E: Support and templates
Published by Osterreich Werbung and the Destinations-Netzwerk-Austria (dna), this German-language practical guide is written for Destination Management Organisations and tourism regions in Austria with no prior technical background. Authored by Manuela Machner of KiNET.ai, it was produced following the 2025 event Prozessoptimierungen im Tourismus in Linz.
The guide sets out a step-by-step roadmap for implementing a first automation project within four to eight weeks. It draws a clear distinction between digitalisation, automation and artificial intelligence, explaining how even small teams can significantly reduce routine workloads through no-code and low-code tools such as Make.com, n8n and Zapier.
The content is structured around a practical methodology: identifying which processes are suitable for automation, evaluating and prioritising use cases, mapping current workflows, defining target processes, selecting tools, running a pilot and maintaining the system. Concrete worked examples include automating booking requests, form confirmations and social media posting schedules.
For DMOs exploring operational efficiency and workflow automation, this is one of the more thorough practical guides available at destination level. It is grounded in the realities of small tourism teams working with limited budgets and varying technical capacity, and is directly applicable to any destination organisation looking to reduce manual workload.
Part A: Foundations
Part B: Finding and evaluating use cases
Part C: Concrete use case examples
Part D: Step-by-step implementation
Part E: Support and templates