How AirLayer © works
A continuous pipeline that turns WhatsApp, voice, forms and group chats into structured enterprise actions, records and KPIs.
Capture → Understand → Structure → Route → Measure
WhatsApp, voice, forms, photos, group chats and field updates flow into AirLayer © through native channels and APIs.
AI detects intent, language, sentiment, urgency, issue type and required action — grounded on your domain.
Raw input becomes typed records with IDs, fields, statuses and timestamps that match your enterprise schema.
Records are dispatched to CRM, ERP, BI, dealer systems, ticketing or alert channels — with full audit trail.
KPIs flow back: response rate, TAT, recurrence, manual effort saved and risk signals — live, not monthly.
A platform built for enterprise reality
Multilingual by default
50+ languages for transcription, translation and summarisation — set up once, used everywhere.
GDPR-aligned
EU data residency, role-based access, audit trails and DPA on file. Customer data never trains shared models.
Integration-first
REST, webhooks, native connectors and RPA fallback for systems without APIs.
Real-time
Sub-second classification and routing for time-critical signals like safety and escalations.
Auditable
Every signal traceable from the original message to the system action it triggered.
Modular
Adopt one capability at a time — Group Intelligence, Flows, Call Bots — and scale up.
How it works — common questions
Where does the AI run?+
On Azure by default in EU regions, with private-cloud and customer-tenant deployment options for regulated customers.
How long is implementation?+
A typical pilot launches in 2–6 weeks: connect WhatsApp and one system in week 1, tune in weeks 2–4, measure in weeks 5–6.
How do you handle multilingual content?+
Every step — capture, classification, summarisation, search — supports 50+ languages out of the box.
See AirLayer © live on your data
A 30-minute walkthrough on real WhatsApp groups.