Chatbot & Callbot

Automate repetitive and low-value tasks, qualify your requests prior to contact, create continuous availability 24/7, and improve your responsiveness within your contact centre with AI.

chatbot et callbot

Reduced waiting time

Immediate handling by the bot to qualify your customers’ requests.

Agent assistance

Assist the agent through the steps of request qualification (file number, intent, etc.).

Cost reduction

Reduce the number of calls to your contact centre.

Customer satisfaction

Quick handling of requests with better personalisation.

Offer continuous customer service

Offer continuous customer service with intuitive chatbots and callbots that understand and effectively respond to your customers’ needs. They are available 24/7, allowing your customers to access various information at any time of day through self-service.

Automate low-value requests

Relieve agents of low-value tasks by automating responses (bank balances, invoice information, appointment booking, etc.). This allows your agents to focus on interactions that require more expertise or human contact. It improves the fluidity and efficiency of the customer journey.

Assist your agents with AI

Assist your agents with contextual or customer data such as profiles, addresses, locations, and dates. The callbot or chatbot collects these contextual data and customer intents before the interaction, and then presents them to the agent.

Personalise customer requests

All conversations between your customers and your virtual assistant are accessible in our tool. This allows you to continuously improve your chatbot/callbot, gain a comprehensive understanding of your customers’ expectations, provide more personalisation, and identify areas for improvement!

Functional detail

Multichannel

Virtual assistants on voice or digital channels.

Available 24/7

Your customer service available continuously, including weekends and holidays.

Synchronous

No latency thanks to traditional AI.

Multilingual

Adapts to the customers’ languages, regardless of the country.

Customised voice

Thanks to generative AI, prioritise personalised and human-like voices.

Hybrid

Seamless escalation between a virtual agent and a human agent.

Based on Generative AI

Quick learning curve thanks to generative AI.

Rapid deployment

Integrated into the contact centre solution, it can be easily deployed across all channels.

Multiple use cases

Appointment scheduling, balance inquiries, billing, call qualification…

Eloquant, your cloud Customer Experience platform

A unified and centralised platform to manage, orchestrate, measure and analyse conversations with your customers. Listen to the voice of your customers and take real-time action on satisfaction or dissatisfaction levers to improve your customers’ experience.

Case studies

Because our customers say it best…

Blog

Find out what’s new in customer relations.

White papers

Read our latest white papers to discover our tips and best practices.

Contact us

Are you intrigued? Need to know more before taking the plunge?

Any questions?

What is a callbot?

A callbot is a virtual agent capable of understanding a customer’s needs and responding to them using natural language. It interacts with customers during the qualification phase by asking questions, then directs them or performs low-value tasks in various customer journey scenarios. Callbots use technologies such as voice recognition, natural language processing (NLP), and artificial intelligence (AI).

What are the advantages and benefits of having a callbot in my contact centre?

The implementation of a callbot offers numerous advantages, such as providing continuous availability 24/7, immediately answering frequent questions and low-value tasks, which frees up employees for more complex tasks. The observed benefits include an improved customer experience through more efficient management of customer requests, and reduced operational costs.

In which languages can I use my callbot?

Eloquant’s callbot is multilingual. It can be available in approximately ten languages. Its ability to function in a specific language depends on the amount of training data available.

How does the integration of the callbot work within a customer journey and with my business tools?

Setting up a callbot is a project in itself and must follow several steps to ensure a successful experience:

  • Analyse needs and use cases: Identify the use cases and tasks within the customer journey that the callbot will need to handle.
  • Choose a solution directly integrated into your contact centre: Capable of orchestrating, and integrating well with your company’s existing systems.
  • Configure, train, and customise the callbot: Use dialogue scripts and train the bot on phrases specific to your business use cases.
  • Integrate with existing systems: Connect to databases, CRM, and other IT systems so it can access and process the right information to provide relevant answers to customers.
  • Test, deploy, and optimise: Test the callbot’s responses in real conditions and adjust its configuration as needed before full deployment. Monitor its performance to ensure continuous optimisation.
How many simultaneous calls can a callbot handle?

A callbot can handle a multitude of simultaneous calls. It is not limited to a single conversation like a contact centre agent. Therefore, it is highly effective in handling peaks in customer service requests and traffic.

The callbot doesn't know how to respond. How does it react?

When setting up a callbot, you will be advised to provide so-called fallback responses:

  • Escalate the conversation to an agent or another support channel.
  • Offer a callback, which will give time to an agent to search for the information.
  • Direct customers to an FAQ where they can find an answer through self-service.
  • During the callbot’s continuous optimisation phase, it will be possible to enrich the responses in the knowledge base.
Can the responses provided by the callbot be personalised and contextualised?

The artificial intelligence on which the callbot relies allows for personalising the responses in the dialogue scripts, provided it has access to contextual information: customer records, business data, history of previous interactions, etc. The generative AI also helps standardise the tone of voice to align with the company’s image.

What are the main successful use cases for deploying a callbot in a contact centre?

A callbot can be adapted to all industries. It is important to first identify the business use cases in the customer journey to ensure it is effective and provides a return on investment (ROI). Some of the use cases include:

  • Requesting statements, account balances, or billing amounts: to instantly access your banking information.
  • Appointment booking and cancellations: autonomous management of appointments.
  • Order tracking and delivery dates.
  • Information about stays and ticket dispatch: receive and obtain details about your upcoming stay or the sending of your tickets.