Understand what the customer needs and trigger the right workflow

Customers do not speak in menu labels. They say, “I need two cases of the item I bought last time.” Meta Reva evaluates that sentence with the customer, product, quantity and previous records.

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Direct definition

What Does the AI Customer Assistant Actually Do?

The goal is not to produce polished sentences. It is to derive a reliable next step from a message. It asks when information is missing and refuses to guess when the answer is uncertain.

Primary source: Meta Reva product and integration documentation.

Connected workflow

AI-Powered Customer Assistant

Meta Reva identifies product, order, account and support intent in WhatsApp messages, then provides a governed response or hands the conversation to an agent.

Capabilities

What this workflow can do

Interpret incomplete or mistyped messages

Product, transaction and support intents can be separated into distinct actions even when they appear in one sentence.

Recognise product codes, phone numbers and company context

Previous messages and the verified customer record preserve context; inference never replaces a source record.

Route irrelevant or uncertain requests safely

When uncertainty crosses the agreed threshold, the system summarises the issue and leaves it with an authorised person.

Controlled delivery

How implementation works

We begin with real customer messages, source data and topics the system must never answer on its own. Validation and human-handoff boundaries are then tested.

ScopeDefine data sources, users and permissions.
ConfigureMap WhatsApp steps to ERP and operating rules.
ValidateTest normal, uncertain and failure scenarios.
Go liveRelease with monitoring and agent handoff controls.

Clear answers about boundaries, data and human handoff.

What we clarify before implementation

What data does AI-Powered Customer Assistant require?

We begin with real customer messages, source data and topics the system must never answer on its own. Validation and human-handoff boundaries are then tested.

Where should this workflow stop?

When uncertainty crosses the agreed threshold, the system summarises the issue and leaves it with an authorised person.

Can it work with our current system?

The workflow needs an API, secure database access, file exchange or an existing service layer. We do not claim automation before a viable technical path is confirmed.

Show us how the work runs today and we will define a practical first scope together.