Use case🔍
Self-service with dynamic data
With AI Agents, users receive up-to-date information on their questions at all times, even when data changes.
Use case
Live information on demand
Whether in customer service, logistics or digital services: Information such as status messages, availability or times often change at short notice. Users still want to know what the current status is at all times – quickly, easily and without a lengthy search.
AI agents make this possible: they automatically access current data and prepare the answers in such a way that users can understand them immediately and take direct action.
Travel information with AI Agents
"Is there another flight to London today?"
Flight information can change at any time – for example due to delays, gate changes or last-minute adjustments to the flight schedule.
An AI Agent can help travelers keep track of everything. For questions such as "When does the flight from Madrid land?" or "Is the flight to Vienna delayed?", the AI Agent automatically retrieves the latest flight data and returns a clear answer.
In this way, travelers immediately receive the information they need – without having to search through various websites themselves.
An AI Agent can help travelers keep track of everything. For questions such as "When does the flight from Madrid land?" or "Is the flight to Vienna delayed?", the AI Agent automatically retrieves the latest flight data and returns a clear answer.
In this way, travelers immediately receive the information they need – without having to search through various websites themselves.
In 3 steps
How the AI agent processes
dynamic data
Step 1
Understand the request
The AI agent analyzes the user question and recognizes relevant metadata, for example:
On this basis, it can search specifically for the relevant data.
The AI agent analyzes the user question and recognizes relevant metadata, for example:
On this basis, it can search specifically for the relevant data.
Step 2
Retrieve current data
The AI Agent accesses daily flight information such as departure and arrival times, delays and status reports. This is done, for example, via:
The AI Agent accesses daily flight information such as departure and arrival times, delays and status reports. This is done, for example, via:
Step 3
Generate the answer
The AI agent creates a comprehensible answer based on the current data.
The information is output directly in natural language – in chat or via voicebot.
The AI agent creates a comprehensible answer based on the current data.
The information is output directly in natural language – in chat or via voicebot.
VIER AI Studio
Low-code bot designer
With VIER AI Studio, you can create intelligent AI agents that automate processes, connect systems and make knowledge accessible. Fast, secure and individual – without any programming effort.
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