How it works
How an ISLTech AI receptionist handles a call.
A custom voice agent trained on your business answers the phone, completes defined actions in the systems you already use, and hands off to your team when a call needs a human.
Six steps, every call
The call comes in
Your business number rings and the assistant answers within one ring. It identifies itself as an AI-powered assistant and, where applicable, discloses that the call is recorded.
It understands the request
The assistant is trained on your specific business — your services, policies, hours, and common questions — so it can follow a natural conversation and work out what the caller actually needs.
It checks your systems
For booking-related requests, the assistant looks up live availability or details in the systems you already use, rather than guessing.
It completes the action
Depending on the request and what's connected, it can book, reschedule or cancel an appointment, answer an approved question, or capture a new enquiry with the details your team needs.
It confirms
The assistant reads back the outcome to the caller and, where configured, triggers a confirmation so both sides have a record of what happened.
It escalates and logs
If a call is sensitive, complex, or the assistant isn't confident, it hands off to a human with context. Every call is recorded, transcribed, and logged so you can see exactly what happened.
What it does
- Answer approved questions about your business, using your own knowledge base
- Book, reschedule, or cancel appointments where an integration is connected
- Capture new-enquiry details and route them to the right person
- Route callers to the correct team, location, or number
- Take a message or create a callback task when a request can't be completed
What it won't do
- Diagnose problems or give clinical, medical, or legal advice
- Guarantee that a dish is free of a specific allergen
- Invent availability or confirm an action that didn't succeed
- Take card details in the conversation unless a compliant payment flow is configured
- Make promises or commitments outside the rules you've approved
When the assistant isn't sure
The assistant is built to avoid guessing. When a request is ambiguous or falls outside what it's confident handling, it asks a clarifying question, captures the caller's details, or transfers the call according to the workflow you've agreed.
If a booking system is temporarily unavailable, it won't confirm something that didn't happen. Instead it takes a message, creates a callback task, or explains that the system is briefly unavailable — whichever you've configured.
Low-confidence events are visible in monitoring and reviewed so the agent can be improved over time under human oversight.
Implementation
From first call to live in 2-6 weeks
We start with a discovery session, build your knowledge base and call flow, connect the integrations you need, test against real scenarios, and launch a monitored pilot. Timelines depend on integrations, languages, approvals, and how quickly we can review content together.