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TravelAI Enterprise: Validating enterprise tourism automation in four weeks

We share how we manage data, integration and team onboarding time while narrowing down TravelAI Enterprise modules to MVP scope with corporate operators.

MVP Plan AI Operations Corporate Tourism
Publication date: October 14, 2025 · 6 min reading

İsmail Yurtsever

Ad Astra

TravelAI Enterprise Automation AI Orchestration

During the TravelAI Enterprise MVP process, we gathered goals, integration sprints and customer feedback loops under one roof. This article explains the critical turning points of the 30-day program.

4 weeks

MVP duration

Planned time for discovery, configuration and pilot go-live.

Bidirectional integrations

Connected external systems

Verified adapters for CRM, ERP and payment services.

Positive pilot feedback

Pilot review

High satisfaction reported in pilot surveys.

Framework of the MVP program

TravelAI Enterprise MVP includes core modules that operations teams can experiment with real data: reservation management, inventory/quota planning, and AI-powered task automation.

The first week of the program is devoted to clarifying goals and success metrics; The second and third weeks focus on module configuration and integrations, and the last week focuses on user acceptance tests and training.

Data layer and integration sprints

Anonymization and audit trail controls are implemented in every sprint to meet corporate customers' data security expectations. We use standard templates for Azure SQL and PostgreSQL clusters.

TravelAI's API layer talks to ERP and CRM providers via REST and webhook adapters. The P95 latency target is kept below 200 ms.

Learnings from pilot customer

In the pilot phase, we verify end-to-end scenario executions on a weekly demo cadence. Customer representatives can submit rapid change requests via in-sprint micro publications.

Runbooks and recorded walkthroughs prepared for operations teams shorten the takeover time considerably.

Key takeaways

  • MVP scope should be defined not in a single sprint but in a framed four-week program.
  • Even though data and AI scenarios are planned in the same sprint, observability and security checks should be part of each week.
  • Quickly reflecting the feedback from the pilot team into the runbook and AI scenario configurations increases the speed of transition to production.

Related products

TravelAI Enterprise

Multi-brand, artificial intelligence-supported tourism platform.

View details

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To tailor the MVP program to your organization, schedule a discovery session or review the modules on the TravelAI Enterprise page.

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