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❯Virtual bank assistant
Large Companies
NLP - Text summarization
For:
Media Intelligence Analysts
Scope:
Using Abstractive Text Summarization to reduce analysis costs for media monitoring.
Goal:
Improve Operation Efficiency
AI virtual assistant for customer support and service
For:
Customer service department
Scope:
Customer support service, product and service consulting.
Limitations - support for dialogs exclusively within MTS products.
Target audience - b2b, b2c clients of MTS Russia.
Goal:
Other
AI contract management
For:
Procurement department, legal department
Scope:
Building an AI contract management solution for automating business processes
related to documents: data classification, automatic data extraction and contract
monitoring.
Goal:
Other
Large Companies
Small Companies
Human Resources - Employee Performance Assessment
For:
Line managers.
Scope:
Creating an insight report for managers carrying out employee performance reports using Text Mining.
Goal:
Improved Employee Efficiency
Virtual bank assistant
Scope:
Use of advanced chatbots and dialogue systems to automatize part of call centre activities.
Goal:
Improved Employee Efficiency, Improved Customer Experience
General Public
Entertainment and Media - Search Optimization
For:
End consumers of news stories.
Scope:
Optimizing search using Machine Learning and Natural Language Processing to improve relevancy and presentation of results.
Goal:
Improved Customer Experience
Large Companies
NLP - Machine translation
For:
Translation Managers and Translators.
Scope:
Using Machine Translation to scale content production and create a more streamlined and efficient translation process.
Goal:
Improve Operation Efficiency, Automate a Business Process
Loan in 7 minutes
For:
Customers
Scope:
A completely automated solution that analyses customer behaviour and makes the best loan offers for the customer.
Goal:
Improved Customer Experience, Improved Employee Efficiency
Large Companies
Small Companies
Legal - Automated Legal Review
For:
Legal Associates and Paralegals.
Scope:
Supporting human analysis of legal documents using automated Document Classification and Information Extraction.
Goal:
Improve Operation Efficiency, Improved Operation
Procurement - Cost Analysis
For:
VP Global Supply Chain Management, Category Managers
Scope:
Realizing operational efficiencies and working capital improvements through automated spend classification.
Goal:
Reduce costs, Improved Employee Efficiency
Tax rules updates and classification
For:
Investment firm
Scope:
Build an AI solution that identifies updates on tax laws and classifies them.
Goal:
Other
Procurement - Supplier Selection and Evaluation
For:
Procurement Managers
Scope:
Creating efficiencies in supplier selection using Intelligent Search technologies.
Goal:
Improved Employee Efficiency
Large Companies
Retail - Customer Sentiment Analysis
For:
Retail managers, executives, marketeers and branding specialists.
Scope:
Understanding consumer sentiment towards national grocery chains in South Africa using Natural Language Processing.
Goal:
Improved Customer Experience
WebioMed clinical decision support system
For:
End-users (physician, nurse, laboratory technologist, pharmacist, patient)
Sales and marketing team
CDSS product development and maintenance team (system administrator,
system developer, system architect, project manager, and system
maintenance)
Scope:
Screening for cardiovascular disease risk prediction with machine and deep
learning methods
Goal:
Other
Large Companies
Human resources - Federate the team
For:
HR professionals.
Scope:
Using Artificial Intelligence (AI) to identify ideal candidates, decrease hiring time and improve employee retention.
Goal:
Improved Customer Experience
Large Companies
Small Companies
Legal - Contract Analysis
For:
Legal Associates and Paralegals.
Scope:
Using natural language processing to aid contract analysis by creating efficiencies for reviewers.
Goal:
Improved Employee Efficiency, Reduce costs, Improve Operation Efficiency
Virtual bank assistant
Goal:
Improved Employee Efficiency, Improved Customer ExperienceProblem addressed
Provide better quality help desk support to employees.
Scope of use case
Use of advanced chatbots and dialogue systems to automatize part of call centre activities.
Description
A bank in Italy has created a virtual consultant to support
internal staff in their operations and interaction with
customers.
The solution enabled a significant change in the service
model of the bank, allowing it to achieve important results in
terms of greater contact volumes, extension of service hours
and reduction of low-value human-centric activities.
The virtual assistant has been conceived as the first (and
only) access point for assistance. It is easy to use and
responds with a high level of reliability to the questions of
branch colleagues. The virtual assistant has not been
designed as a simple "chatbot" trained on a specific topic but
as a virtual "colleague" to turn to for any question,
completely integrated into the bank knowledge chain. To
date, the virtual bank assistant manages all fourteen
knowledge domains of the bank, receiving thousands of
answers.
From the beginning of its use (January 2018), the virtual
assistant manages 100 % of requests, partly independently
and partly in collaboration with the human operators of the
service desk.
The effectiveness of the solution is evidenced by the very
high level of satisfaction, with positive feedback from users
exceeding 90 % and the reduction in the time spent by
service desk operators in providing support to the branches,
which today can be quantified as a reduction of 25 %.
Text
AI: Perceive
NLP
AI: Understand
Conversational agents
AI: Act