Conversational AI Chatbots for your Business

Create the best experience for your customers across multiple channels -web, phone, messaging, text, and more.

With Abto as your AI development partner, you get access to one of the strongest machine learning and data science teams and the proven NLP expertise that have helped multiple enterprises tackle their growing customer service costs with smart conversational chatbots.

Most chatbots try to imitate human-like conversations, however, most of those rule-based and FAQ chatbots do not have needed AI and NLP technology built-in to understand users. They mostly gather keywords and try to provide answers based on them, which often can frustrate customers when a misunderstanding arises. A conversational chatbot is more. It knows when to search for an answer from a knowledge base, when to ask for some clarifications and when to direct customers to a customer service agent.

We deliver AI solutions for the CTO offices of Fortune 500.

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Approach to delivering Conversational AI Chatbots

Validate Business case

Our business analyst together with AI solution architect explore the business value and technological feasibility of applying Conversational AI in your case, define the technological landscape.

Visualize a New Customer Service

Our team together with UI/UX analysts set a vision by defining the future channel strategy across all touchpoints to optimize the customer experience.

Build a Chatbot MVP

We build the right development team together with all stakeholders (customers, operations, IT, design) so that a Minimal Viable Product solution is tailored to your business and your customer needs.

What we do

We apply natural language processing capabilities to your business use cases, including text mining and sentiment analysis of content. We help you augment the productivity of your employees by automating their customer service tasks so that they can spend more time on higher-value work.

Conversational AI solutions

Right Conversational Design Practices

We build conversational chatbots that your customers can communicate with through messaging which is now a preferred way to contact brands. Our design team is widely versed in conversation interfaces.

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Conversational AI solutions

Smart Chatbots Powered by NLP

We apply AI to every aspect of your chatbot. With NLP and machine learning we develop models that allow your chatbot to surface concepts, categories, sentiment, and apply human knowledge of best customer service agents. Such technology ensures the conversational chatbot understands the meaning behind the request.

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Conversational AI solutions

We connect your chatbot to any system or channel

As an enterprise, we understand you have digital channels and systems critical for your business. The way we design and develop chatbots allows for them to seamlessly connected to messaging channels, market-leading customer service desks, CRM systems like Salesforce or any other application across your organization.

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Have a use case in mind?

Let’s talk to one of our Chatbot experts.

Use case

Conversational Сhatbot for European Fintech Company

Our AI developers have delivered a conversational AI chatbot that interacts with customers. The solution returns answers quickly by applying natural language processing (NLP) and deep learning techniques to recognize and extract the intent, context, and meaning behind inquiries.

The customer service chatbot is able to display the user profile and updated balance within a chat interface.

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Main benefits

Chatbot Transformation

The conversational AI chatbot allows customers to enter questions in natural language, as they would with customer support employees. Trained on the subtleties of language, such as idioms and syntax, and powered by natural language processing (NLP) and deep learning techniques, the solution is able to not only answer user’s requests, but also ask certain questions in order to mimic real conversation and reach some additional business goals.

Results
  • Supports true human conversations easing the burden on call center staff
  • Recognizes typical customer services use cases for banking to quickly resolve easy requests so that agents can focus on helping customers with complex issues
  • Available 24/7 allows to cut resolution time drastically from days to just hours for most inquiries.

Business challenge

Recognizing that providing real-time customer service and support to customer financial queries would require allocating a lot of the additional employees the company sought to use cognitive technology to enhance its customer experience.

Conversational Сhatbot for European Fintech Company

Use case

Developing AI Chatbot that Helped JustAnswer, leading Expert Consulting Company Increase Customer Engagement

With more than 1 mln users every day seeking for expert’s help on the platform, JustAnswer is always looking for ways to improve and augment their services.
Having a chatbot as the first touchpoint on the platform helped our partner provide better, more personalized service to their customers.
The virtual assistive technology has been in beta testing for three years being trained on 16 million questions and answers in the company’s database.

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Main benefits

Business Value

Having an AI-driven assistant on their platform allowed our partner to:

  • Speed up lead qualification and lead processing, and Improve expert efficiency.
    A chatbot not only quickly engages potential clients but also gathers all the necessary information about them which is then handed off to experts or reps.
  • Increase conversion rate through delivering more personalized service. The bot can recognize more than 100,000 variables in conversation and ask context-specific follow-up questions. It can quickly determine the client’s problem.
  • Promote premium services. People whose first interaction on the platform was with a chatbot were more willing to buy a premium subscription.
Technologies and Instruments:

AAI, ChatScript, flask, gunicorn, machine learning algorithms, nginx, Python, scikit-learn

Developing AI Chatbot that Helped JustAnswer, leading Expert
Consulting Company Increase Customer Engagement

AI Expertise

It is vital to choose appropriate technologies and programming languages for project implementation as it influences project development duration, its cost and lifespan.

Data Science

  • Data mining
  • Predictive analytics
  • Recommender systems
  • Time series analysis
  • Digital signal processing
  • Probabilistic programming
  • Bayesian models
  • Advanced statistics
  • Data visualization

Machine Learning

  • Neural networks
  • Deep learning
  • Autoencoders
  • Generative models
  • Transfer learning
  • Self-supervised/Semi-supervised techniques
  • Unsupervised learning
  • Clustering
  • AutoML
  • Gradient boosting
  • Decision trees and random forests

Natural Language Processing

  • TFIDF
  • Word embeddings
  • RASA

Tools and Frameworks

  • Tensorflow/Keras
  • NumPy & SciPy
  • Scikit-learn
  • Apache Spark (MLlib)
  • Caffe
  • OpenCV
  • AWS machine learning
  • Matlab

Learn how to implement conversational AI to transform your customer service

“Abto is a key member in the continued success of our business goals and initiative to move to a SaaS web-based platform.”

They worked closely with us to ensure smooth integration with the existing system, no downtime for existing clients during the migration and selling to new clients.

Project Manager, Software Development Company

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