MYTH
"We'd need to replace our operational systems." REALITY
Agentic AI orchestrates around AODB, BMS, CMMS and ERP. It reads from approved sources and leaves them in charge.

Updated November 2026
● AGENTIC AI FOR AIRPORT OPERATORS
In most terminals, nobody can answer that in under a minute. Agentic AI for airports can: it routes the fault to a named owner, reroutes the passenger in a wheelchair, and refuses to close the case until a human confirms the fix.
Book an Airport Demo Watch one day in the terminal ↓
Built for airport operators and airport groups. Sits beside your AODB, AOCC and ERP. Never replaces them.
AIRPORTFLOW · EXCEPTION #T2-0418 Awaiting human sign-off
Escalator outage · Terminal 2, Pier B - 1 Detected · BMS fault feed (source recorded) - 2 Owned · Terminal Duty Manager, acknowledged - 3 Fixing · Maintenance crew dispatched via CMMS - 4 Closed · only when the TDM confirms
AIRPORTASSIST · SAME MINUTE, ON WHATSAPP
I use a wheelchair. Fastest way to Pier B?
The Pier B escalator is out right now. Lift B4 beside the pharmacy is your quickest route. Shall I ask the assistance team to meet you there?
Illustrative scenario. Live airport data requires authorised feeds.
The Agentic AI platform behind 400+ enterprises and 10M+ conversations, now built for the terminal.
Meta Business Partner | Google Partner | Microsoft Partner | [Airport reference logo — pending approval]



Agentic AI for airports is AI that doesn't stop at answering. It understands a request, reasons over airport-approved data, and takes the next step: helping a passenger, assigning a terminal fault to its owner, chasing an overdue certification or routing a supplier invoice. A human approves every consequential action.
AODB, BMS, CMMS, HRMS and ERP each work. The friction lives in the handoffs between them. Four questions every airport operator should be able to answer, and most can't:
"? Why are passengers asking the info desk the same thing 200 different ways?" Because the answer lives in five places and three languages. AirportAssist AI →
"? Who acknowledged the broken lift, and who said it was fixed?" Usually a radio call nobody logged. AirportFlow AI →
"? Whose certification expires before the next audit?" Found out the week before inspection. AirportLearn AI →
"? Why is that concessionaire's invoice still stuck?" It's in someone's inbox, without an owner. EnterpriseFlow AI →
ONE DAY · FOUR PRODUCTS · ZERO DROPPED HANDOFFS
Follow one illustrative day. Every moment below is a handoff that usually goes unowned.
| Time | Product | Description |
|---|---|---|
| 05:40 | AIRPORTASSIST AI | The first wave hits. Parking, check-in and accessibility questions are answered on WhatsApp, web and voice, in the passenger's language. |
| 07:15 | AIRPORTFLOW AI | A queue sensor flags congestion at security. An exception opens, the Terminal Duty Manager owns it, and every action is timestamped. |
| 11:30 | ENTERPRISEFLOW AI | A concessionaire queries a disputed invoice. The mismatch is pulled from authorised records and routed to the right reviewer, not a shared inbox. |
| 14:00 | AIRPORTLEARN AI | Shift change. Six frontline staff get a refresher on their phones. A supervisor sees two certifications expiring next month. |
| 22:10 | THE PLATFORM | Night shift opens one dashboard: what passengers asked, what broke, who fixed it, and what's still open. One audit trail across all four. |
NOT ANOTHER CHATBOT
A chatbot answers a question. An agent finishes the job and proves it.
| Typical airport chatbot | Chat360 Agentic AI for airports | |
|---|---|---|
| Scope | Passenger FAQs on one channel | Passengers, terminal ops, workforce and suppliers |
| Channels | Website widget | WhatsApp, web, app, RCS, voice, AI avatar kiosks |
| After the answer | Conversation ends | Creates, assigns, escalates and tracks the task to closure |
| Knowledge | Static FAQ list | Governed, owner-approved sources with freshness rules |
| Human control | Optional handover | Named owners, approvals and human-confirmed closure |
| Audit | Chat logs | Event provenance, workflow history and role-based access |
ONE PLATFORM · FOUR AIRPORT PRODUCTS
| "Are passengers getting answers?" AirportAssist AI Passenger assistance on every channel | "Is every fault owned and closed?" AirportFlow AI Terminal exception management | "Are we audit-ready today?" AirportLearn AI Workforce training & compliance | "Why is this still in someone's inbox?" EnterpriseFlow AI Supplier & concessionaire automation |
AIRPORTASSIST AI · AI PASSENGER ASSISTANT
AirportAssist AI is an AI passenger assistant for airports. It answers from approved content on WhatsApp, web, voice and terminal screens. It hands over to a human with full context, and shows your CX team what passengers keep asking.
Built for: COO, Head of Passenger Experience, CIO, contact-centre leaders

| Digital Passenger Assistant | Voice AI for airport contact centres | AI Avatar digital concierge | |
|---|---|---|---|
| Facilities, accessibility, parking, contacts and approved wayfinding, 24/7. | Automates inbound calls, routes the rest, and hands agents a summary instead of a cold transfer. | A face and voice for terminal screens and kiosks. Hardware scoped with your team. | |
| Proactive passenger messaging | Passenger Experience Intelligence | Already live in Indian aviation | |
| Tell passengers before they ask, with two-way follow-up on approved channels. | The top unresolved questions, trending complaints and escalation hot-spots, every week. | [Reference pending approval] Chat360's Agentic AI Bot is live at Adani Airports. |
No guessing: live flight, gate and disruption updates come only from authorised airport feeds. Outbound messages need consent and approval.
AirportFlow AI turns lift and escalator outages, cleaning and maintenance issues, passenger-flow congestion and shift handovers into owned, time-tracked exceptions. Each one records where it came from, who owns it, and who confirmed it fixed.
Built for: COO, terminal operations, AOCC and facilities leadership
BMS, queue sensor, AODB or a structured staff report. Source always recorded.
Prioritised by the rules you configure.
One accountable owner, notified on the channel they actually use.
Reminders, then escalation, if anything slips.
The AI can't mark it fixed. The owner does, on record.
AirportLearn AI gives airport operators role-based training and live compliance visibility for the employees and contractors they administer.
Works with your LMS or alongside it. Competency sign-off stays with your qualified people.
EnterpriseFlow AI automates the questions, cases and exceptions that surround your airport's commercial and supplier ecosystem.
It never pays, approves or interprets contracts. Your ERP stays the system of record.
"We'd need to replace our operational systems." REALITY
Agentic AI orchestrates around AODB, BMS, CMMS and ERP. It reads from approved sources and leaves them in charge.
"AI will make decisions we can't trace." REALITY
Every event carries its source, owner and history. Consequential actions need a named human to approve or close them.
"It has to be all or nothing." REALITY Start with one workflow and one owner.
Measure against your own baseline. Expand only what works.
Clear boundaries shorten security reviews and procurement. Here they are, up front.
Chat360 provides Conversational and voice AI · AI avatars · Workflow templates · Governed knowledge · Alerts · Dashboards · Live-agent handover
Integrates with AODB · AOCC · A-CDM · BMS · CMMS · Queue data · HRMS / LMS · ERP · Maps · Telephony
Never replaces Safety-critical decisions · Aircraft movement control · Airport infrastructure · Core finance authorisation
Context that follows the passenger Across channels, and from AI to human agent.
Knowledge with an owner Approved sources, freshness rules, traceable answers.
Audit by default Interaction logs, event provenance and workflow history.
Deployment your IT signs off Hosting, tenancy and data-residency agreed up front.
Role-based access Each team sees only what it should.
Accessible and resilient Multilingual, with fallback paths and incident response.
Every pilot starts with your baseline and a success threshold you agree to. Then the numbers speak.
| Product | What we measure |
|---|---|
| AirportAssist AI | Resolution and containment, escalation rate, response quality, top CX themes |
| AirportFlow AI | Acknowledgement time, overdue exceptions, time to closure, audit completeness |
| AirportLearn AI | Completion, overdue requirements, expiry visibility, audit readiness |
| EnterpriseFlow AI | Review turnaround, exception backlog, SLA adherence, manual handling |
STEP 1 Pick one pain One workflow, one owner, one budget.
STEP 2 Lock the baseline Today's numbers and the bar for success.
STEP 3 Run a bounded pilot Approved content, data sources and handover.
STEP 4 Scale what worked Add the next product on the same platform.
COO / Terminal Ops / AOCC → AirportFlow AI
Head of Passenger Experience → AirportAssist AI
CIO / Contact Centre → AirportAssist Voice AI
HR, L&D, Safety & Quality → AirportLearn AI
CFO / Procurement / Commercial → EnterpriseFlow AI
FAQs
Last updated November 2026
An airport chatbot answers passenger questions. Agentic AI for airports goes further by understanding requests, making decisions within defined permissions, executing workflows, assigning tasks, escalating exceptions, and tracking actions to closure. Chat360 enables airports to automate passenger service, terminal operations, workforce compliance, and supplier workflows while keeping humans in control of consequential decisions.
Yes. Airport AI should complement existing operational systems, not replace them. Chat360 connects AI-driven passenger and operational workflows with relevant enterprise systems through APIs and integrations, subject to system availability, permissions, and integration requirements. Your AODB, AOCC, and A-CDM remain authoritative systems while AI helps turn operational information into coordinated actions.
AI agents can communicate flight information, gate changes, delays, cancellations, and disruption updates when connected to authorized, current operational data sources. Chat360 can help deliver these updates through supported passenger communication channels, enabling passengers to receive relevant information and assistance without repeatedly checking airport displays or contacting support.
Airport AI agents can support passenger and operational communication across WhatsApp, voice, web chat, and other supported messaging channels. Chat360 enables airports to create connected customer journeys across channels, helping passengers access information, request assistance, and receive updates without losing conversational context.
Airport operations teams can use Agentic AI to coordinate responses to terminal exceptions such as lift outages, equipment failures, service disruptions, and facility issues. Chat360 can initiate workflows, notify responsible teams, assign tasks, escalate unresolved issues, and track acknowledgements and closure, with execution governed by configured permissions and operational processes.
AI-powered passenger assistance can help travelers request accessibility support, receive relevant information, and coordinate assistance through supported communication channels. Chat360 can initiate and track assistance workflows, notify appropriate teams, and escalate requests when necessary. Actual assistance remains delivered by authorized airport personnel and service providers.
AirportLearn AI can support workforce learning, procedural guidance, knowledge access, and compliance-related workflows. Rather than automatically replacing an existing learning management system, AI can complement training infrastructure by helping employees access relevant information, understand procedures, and coordinate learning or compliance activities, subject to the configured capabilities and integrations.
Airport AI deployments should operate within defined permissions, approval requirements, escalation policies, and auditability controls. Chat360 supports workflows designed around human oversight, allowing consequential actions to require approval, exceptions to escalate to authorized personnel, and operational tasks to remain accountable. The level of autonomy depends on deployment configuration and integration capabilities.
Chat360's airport solution is relevant to airport operators, passenger experience teams, terminal operations, customer service, workforce management, facilities teams, and airport technology leaders. It can also support coordinated workflows involving airlines, ground handlers, service providers, and suppliers where appropriate integrations and operational permissions are available.
Airport AI must rely on authorized data sources and respect the systems designated as authoritative for operational information. Flight status, gate assignments, disruption information, and other time-sensitive details should be retrieved from approved integrations rather than independently generated. Where information is unavailable, inconsistent, or uncertain, the workflow should communicate the limitation or escalate instead of presenting an unverified operational fact as confirmed.
Yes. A phased deployment can begin with a defined passenger journey or operational workflow, validate integrations and governance, and expand after measurable results. Chat360 can complement existing systems and communication channels, with deployment scope, integration requirements, and operational approvals determined during implementation.
Start with one high-value passenger or terminal workflow that has measurable friction, clear ownership, and an identifiable operational outcome. Map the journey, define approval and escalation rules, connect the required systems, and establish baseline metrics. Chat360 can demonstrate an end-to-end workflow using clearly labelled simulated data before moving toward a production deployment.
In 30 minutes we'll show it running end to end, passenger to closure, on clearly labelled simulated data from a terminal like yours.
Chat360 · Enterprise Agentic AI Platform · Pune · Mumbai · Delhi · Dubai chat360.ai