AI-driven Chatbot Solutions Development

AI chatbots are worth considering for your business if:

You have been using rule-based chatbots and your analysts are overwhelmed with maintenance of thousands of rules and complicated choices
You are in the insurance, banking, e-commerce business and would like to automate customer service support
You have thousands of employees and would like to improve/automate human resource services and communication with your employees
Your business is focused on younger audiences and you need to provide self-service solution available 24/7 for managing their assets (accounts, orders, etc.)

Abto Software chatbot experts will suggest the most efficient implementation strategy for your business based on your:

Business priorities
Software/hardware/data available
Policies & security constrains
Target users

We can actively assist you in definition and implementation of such strategy after having discovery session(s) with your key stakeholders.

Key benefits of Abto’s AI-powered chatbot solutions:

Continuous (self) learning by analysis of data collected from recent live conversations

Setup/amendment of conversation flows via chatbot admin page without developer involvement

Centralized AI/NLP engine accessible via API for intent recognition, NLP & chatbot interaction

Unlimited intent recognition for human-like chatbots

Flexible setup (cloud/on-premise), integrates with voicebot/ERP/CRM, highly extensible and scalable

Approach to delivering conversational AI chatbots

Discovery

– Meet stakeholders, confirm business priorities
– Evaluate available resources, policies, user audiences
– Define target KPIs

Solution design

– Perform initial data analysis
– Design principal architecture and key AI/NLP technologies
– Define version 1 scope, plan milestones, costs, and duration
– Plan production delivery and maintenance for version 1
– Approve the entire roadmap with the customer

First version implementation

– Develop essential flows/cases to get to market quickly
– Collect feedback and store conversational data
– Implement efficient user interfaces for desired communication channels

Next iterations

– Implement continuous training
– Develop new flows/intents
– Adjust the solution based on user feedback from previous releases
– Begin planning and implementation of a contextual AI-based chatbot (human-like)

Conversational AI solutions

Conversational design practices. Abto Software are experts in chatbot design for seamless customer interaction through messaging. Elevate your chatbot experience with our technology.

Smart chatbots enhanced by LP. We integrate AI and machine learning for advanced chatbot capabilities, enabling understanding of concepts, sentiment, and optimal customer service.

Seamless integration across systems. Our chatbots seamlessly integrate with key digital channels, customer service desks, CRM systems like Salesforce, and other vital applications.

Conversational AI-driven chatbot for multi billion European fintech company

Our AI/NLP developers have delivered a conversational AI chatbot to automate customer service routine. It uses natural language processing (NLP) and deep learning techniques to recognize customers’ intent behind text inquiries. The solution can take a short conversation and do an upsale. German and English languages are supported.  The customer service chatbot is able to display the user profile and updated balance within a chat interface.

Business value of implementing conversational AI chatbot:

Reduced workload of the support staff through streamlined routine conversations
Swiftly resolves common online banking requests
24/7 availability shortens routine inquiry resolution time
Drives upsells and collects service satisfaction data

Conversational AI-driven chatbot for multi billion European fintech company

Have a use case in mind?
Let’s talk to one of our chatbot experts.

AI chatbot boosting customer engagement for JustAnswer

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.

Business value of implementing AI-driven assistant:

Increased customer engagement and automated essential information gathering
Accelerated lead qualification and processing, improved expert efficiency
Boosted conversion rates with personalized service, recognizing over 100,000 conversation variables
Drive premium service adoption, as users engaging with the chatbot are more likely to subscribe

AI expertise

Choosing the right technologies and languages for chatbot implementation is crucial for meeting short- and long-term business goals. Consider factors like exporting training data, configuring rules, and transitioning to a more human-like contextual solution, etc.

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

Data mining
Predictive analytics
Recommender systems
Time series analysis
Digital signal processing

Probabilistic programming
Bayesian models
Advanced statistics

AI-driven chatbot solutions’ strategy and implementation for your business