End-to-end operation in a single console
Agencies, field teams, operators and partners meet around the same data model; reservation, quota, pricing and customer communication are combined in a single panel.
TravelAI Enterprise ✨ New product • Active development
Single control center for agencies, field teams and tour operators. 🚀 early access
Next.js 15 based management console, standalone software components (.NET 8 microservices) and FastAPI scenario engine; It allows you to manage reservations, quotas, prices and customer communication on a single platform. With multi-region compatibility and AI-powered scenarios, TravelAI is the companion for growing operations. The Ad Astra team has been developing similar corporate platforms in tourism and travel technologies for 15 years; TravelAI is the mature version of this knowledge.
TravelAI Enterprise is in its recent launch phase and is under active development. Core modules are tested in a live environment; With a four-month roadmap, we release new integrations and AI capabilities every sprint.
Why TravelAI?
TravelAI reduces operational burden while digitizing the end-to-end processes of B2B tourism businesses.
Scenario orchestration with artificial intelligence
FastAPI based engine; It creates planning, API integration and multi-step flows with artificial intelligence models (LLM) that perform natural language processing for sales, support and operations scenarios.
Enterprise scale and security
JWT + auditable architecture with module-based authorization, detailed audit logs, multi-site deployment and real-time health checks.
Platform components
TravelAI layered architecture; It gathers console, API and artificial intelligence services under the same product roadmap.
Management Console (Frontend)
Management face built with Next.js 15, React 18 and Tailwind CSS; Ready for multi-tenant, brand and role structures.
- State management with Redux Toolkit + RTK Query
- JWT refresh and multi-device session management
- Multilingual experience and accessibility controls
TravelPlatform API (.NET 8)
Independently working software components (microservices) developed with Clean Architecture principles; It provides REST API endpoints for booking, package, price, quota and finance modules. Each module can be developed, tested and scaled independently.
- Correlation ID and structured logging with Serilog
- Role & module based authorization, speed limiting
- Extensible AutoMapper profiles and DTO layer
Artificial Intelligence (AI) Scenario Orchestration (FastAPI)
Lightweight orchestration powered by artificial intelligence models that understand natural language (large language models - LLM); Manages backend API calls with the plan-execute-synthesis cycle. It automatically converts user instructions into system actions.
- Flexible structure with OpenAI or Gemini providers
- Automatically discovers backend endpoint inventory
- Scenario-based reporting and error management
Data and Observability
TravelPlatformDb modern schema; It has been expanded with common reference (lookup) tables, B2B tourism schemas and audit/observation layers.
- Multi-region configuration and data structure where all changes are recorded chronologically (event sourcing)
- Event logs and performance metrics structured with Serilog
- Analytics services powered for Power BI / Looker
Road Map (Realistic Plan – ~4 Months)
TravelAI Enterprise is designed to move from MVP to single system within a tight four-month timeline. There are output, training and acceptance criteria visible at the end of each month.
Adım 1
Month 1 — MVP Stand Up
4 weeks
A TravelAI distribution with minimal scope but generating value in production. The console, core APIs, and the first AI scenario are made operational with real data.
- The session, role/permission matrix and multi-brand tenant skeleton are completed for the Next.js 15 console.
- Reservation, stock/quota and price core .NET 8 services go live with a target of p95 < 200 ms.
- The first FastAPI-based AI scenario (operations support or sales assistant) is live with pilot users.
- Dev → Staging → Prod pipeline, health-check leads, Serilog correlation IDs and basic monitoring dashboard are enabled.
- At the end of Sprint 0, a total of 3 light training sessions are completed for the operations, agency and IT teams.
Success criteria: Error-free live MVP in core streams, limited volume of real data, p95 < 200 ms in core services.
Adım 2
Month 2 — Application Expansion & Integration Foundation
4 weeks
We solidify the MVP, expand the platform, and lay the groundwork for corporate integrations.
- Enhanced role-authority, multilingual experience, WCAG-focused accessibility and report dashboards in the console round out v1.
- The API portfolio is expanded with packet/finance edges, rate limiting, DTO schemes and error maps.
- Second AI scenario (e.g. support/FAQ) and scenario telemetry are added to the FastAPI scenario engine.
- Adapter frameworks, signed webhook contracts and retry policies are created for ERP/CRM/Payment channels.
- Unit+integration tests and base load tests are run; observability thresholds are updated.
- The process is deepened with weekly reinforcement training (operations, agency, informatics).
At the end of the sprint, extended functions are in production, integration frameworks are ready, and the MVP is stable.
Adım 3
Month 3 — Parallel Operation & UAT
4-6 weeks
By running TravelAI side by side with the existing system, we verify data consistency and user acceptance.
- Shadow mode parallel running with selected agencies; TravelAI outputs are measured by difference reports relative to the current system.
- Data synchronization is hardened with the transition from one-way to two-way sync and inconsistency reports.
- Scenario-based UAT, price/quota mismatch analysis, peak hour performance tests are carried out.
- Payment providers, ERP and CRM integrations are validated end-to-end in sandbox/cert environments.
- JWT rotation, permission inheritance, audit log review and SIEM integration plan are completed.
- User acceptance is supported with intensive role-based training (operations, agency, informatics).
Acceptance criteria: No critical difference reports remain, integration tests pass, user acceptance scenarios are approved.
Adım 4
Month 4 — Cut-over & Operational Hardening
4 weeks
Switching from parallel work to a single system; monitoring, reporting, security and AI scenarios are hardened.
- A cut-over is applied, including a freeze window, final data transfer, and rollback plan.
- Alarm sets, SLA/SLO definitions, capacity plan and incident management runbook are published.
- Finance and operations KPI dashboards (Power BI/Looker feeds) are activated.
- The third and fourth AI scenarios are released; Quality monitoring metrics are followed.
- SIEM integration, access review, audit trails and security controls are operated.
- Operations, agency and IT final trainings (runbook, certification, RPO/RTO exercise) are completed.
Sustainable operation in a single system after cut-over; Training is over, alarms are active, rollback plan has been tested.
Performance targets: p95 < 200 ms on core services, regular load/peak tests, centralized observability with Serilog + health-check.
Integrations (Extended)
TravelAI grows with APIs and data layers that can be adapted to existing systems. The following integration strategy targets risk reduction and sustainability.
Enterprise Integrations
Adapter + webhook strategy (idempotent ends, signed payloads, retry policy) for ERP, customer relationship management (CRM), payment and content providers. Risk mitigation with read/monitor first, then write/sync phase. Ready integrations are available with common systems such as Microsoft Dynamics, Salesforce, SAP.
AI Provider Integrations
Flexible integration with different AI providers such as Azure OpenAI, Anthropic Claude, Google Vertex AI and Gemini. Ease of switching between providers and cost optimization.
Compliance & Security
JWT rotation, module/role based authorization, audit log standard, data masking; Domain contracts for event/metric streaming to SIEM.
Observability
Structured logging with Serilog, health check leads, performance measurements, correlation ID; transfer to central dashboards (dashboard) and alarm rules (SLO violation, abnormal error rate, delay threshold).
Rethink your operations with TravelAI
Let's adapt the Next.js management console, .NET API layer and FastAPI scenario engine to your own processes. Let's aim for MVP in one month and full production transition in four months.