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Aviation

Aviation Passenger Services Chatbot

Airline and airport call centres are overwhelmed during disruptions, and passengers can't get fast answers on status, baggage or policy.

Overview

Aviation Passenger Services Chatbot is a no-code, white-label conversational agent built on NIVA's persona, flow, and smart-form engines. Airline and airport call centres are overwhelmed during disruptions, and passengers can't get fast answers on status, baggage or policy. With NIVA, an aviation persona answers policy and baggage questions from a knowledge base, a per-persona tool checks live flight status via API, and Smart Forms capture booking or assistance requests routed by webhook. The result is a measurable shift from manual, after-hours-limited handling to instant, structured, around-the-clock engagement that feeds directly into your systems.

The problem

Airline and airport call centres are overwhelmed during disruptions, and passengers can't get fast answers on status, baggage or policy. For aviation teams specifically, every hour spent on this manually is an hour not spent on higher-value work, and every unanswered query outside business hours is a lost opportunity that a competitor with instant response will capture.

How NIVA solves it

An aviation persona answers policy and baggage questions from a knowledge base, a per-persona tool checks live flight status via API, and Smart Forms capture booking or assistance requests routed by webhook. Because the persona is pre-trained for aviation and the logic is assembled in a no-code flow, the team owning this does not need engineering support to launch or iterate. Every conversation is logged and attributed, so the same deployment doubles as an insight layer revealing the questions and friction points worth acting on.

Automation flow

  1. Trigger: flight, baggage or booking question
  2. Knowledge base: answer policy and baggage questions
  3. API call: check live flight status
  4. Form: capture booking or assistance request
  5. Webhook: route to the relevant team

Before vs after

AreaBeforeWith NIVA
Call-centre loadSpikes during disruptionDeflected
Status questionsHold timesInstant via API
Self-serviceLimited24/7
Booking captureManualInline

How it works under the hood

Under the hood this maps to NIVA's documented engines. The persona engine handles tone and routing for aviation, drawing on a library of pre-trained personas so the agent speaks the language of the domain from day one rather than being trained from scratch. The flow engine runs the conditional steps in the sequence shown above, branching on the visitor's answers so each person follows the path that fits their situation. The smart-form engine surfaces structured fields at the moment intent appears, capturing clean data inline instead of bouncing the user to a separate form. Cross-session memory preserves context so returning users are recognised and never asked to repeat themselves. Finally, webhooks push the completed interaction into your systems of record, and per-persona tool calls can read live data from your APIs mid-conversation wherever an endpoint exists. None of these steps requires writing code; they are assembled in the no-code admin and embedded with a single script tag.

Who this is for

This is a public-facing deployment that engages prospects and customers directly on your website or app. It is designed to capture demand that would otherwise be lost outside business hours, to deflect the repetitive questions that consume your aviation team, and to turn anonymous traffic into structured, followed-up leads.

See this use case on your business

See how a aviation passenger services chatbot performs for your aviation business. Book a NIVA demo to watch this exact flow run against your own content, or explore the live interactive bot to feel the experience your customers would.