GetVocal grounds your booking rules, fare policies and disruption procedures inside ContextGraphOS, so every agent action is enforced by architecture, not prompts. Deploy voice and digital agent fleets that handle rebookings, refunds and passenger queries at scale, with every decision logged and fully auditable.
Securely Regulated
Weather delays, cancellations, and labor strikes cause sudden, catastrophic spikes in call center volume. While human teams get overwhelmed, AI agents instantly scale to handle hundreds of thousands of calls or chats, smoothly processing ticket refunds, rebooking, and hotel vouchers without hold times.
Travel is deeply personal and data-heavy. AI agents securely integrate into your core travel tech stack to instantly recognize customer tier status, fetch live itineraries, update seat assignments, purchase add-ons (baggage, Wi-Fi), and redeem loyalty points natively during the conversation.
Deflect up to 70-80% of repetitive travel tier-1 inquiries. By shifting routine interactions to AI voice and chat, you free up your human agents to tackle high-value scenarios, lowering cost-to-serve while improving traveler satisfaction.
Use Cases
Scale during mass cancellations to rebook flights, process refunds, and issue vouchers concurrently without hold times. Protect passenger goodwill during high-stress disruptions while eliminating peak operational costs.
Capture high-margin revenue by letting travelers add baggage, select premium seats, or buy upgrades via fluid voice or chat, increasing average order value with zero human intervention.
Connect to tracking databases like WorldTracer to provide live baggage updates and automate lost-luggage claim intake. This deflects stressful inquiries from staff and accelerates passenger resolution times.
Securely automate mileage balance checks, tier status updates, and point-redemption bookings. Deliver instant, multilingual elite service while drastically reducing routine account maintenance costs and conversations.
Guide international passengers through document verification, passport capture, and check-in workflows natively in their preferred language.
Allow travelers to change flight dates, modify routing, or update passenger details via voice AI to eliminate contact center queues, freeing up human agents to handle complex situations.
Deliver real-time gate changes, delays, and terminal directions to rushing passengers using low-latency voice AI that filters out heavy airport noise. This eases traveler anxiety and sharply cuts information-desk inquiries.
Our customers can show you exactly how minutes per call, points of containment, and weeks of onboarding moved — call by call, agent by agent.
DE-RISK AT SCALE
De-risk AI in airline and travel by design. GetVocal grounds your complex business logic and standard operating procedures as deterministic structure through ContextGraphOS, a living model of how your operations actually function. AI can dynamically move within it, but never outside of it. Innovate without losing control.
Booking rules, fare class restrictions, and disruption procedures are enforced by structure, not prompt and pray.
Every node, path and decision is logged, governed, and transparent for accountability to both passengers and regulators.
Products, fare policies, and disruption standard operating procedures are encoded once and applied consistently across every channel.
DEPLOYMENT · COMPLIANCE
Deploy the same security, audit and observability guarantees on any infrastructure. Pick the posture that suits your requirements.
Run everything inside your own infrastructure for maximum control and data sovereignty.
Deploy in your own cloud environment with full ownership of your stack.
Keep your data within EU borders to meet regional compliance requirements.
Combine cloud and on-premises deployments to match your operational needs.
“What makes GetVocal unique is that it is the only solution that enables human-in-the loop as a validator and an auditor, and with it, full control and trust. The Control Tower is the key to scale AI responsibly, bringing human and AI agents together to achieve more automation than ever before, while providing a great customer experience.”
