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AI contract management

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

AI contract management

For:
Procurement department, legal department
Goal:
Other
Problem addressed
Creating 0 solution that is able to standardize the contract management process,
improve the quality of work on problematic contracts and claims, and optimize
lawyers working process and relieve them from routine tasks.
Scope of use case
Building an AI contract management solution for automating business processes
related to documents: data classification, automatic data extraction and contract
monitoring.
Description
Its a platform for automatic reading and analysis of legal
documents, and extraction of data with an astonishingly high
level of accuracy.
Based on the extracted data automatic contract monitoring
and execution can be performed.
The following features of AI contract management can be
highlighted:
structured digital documents archive;
hierarchical chain and connections of all documents in
relation to the primary document, whether it is a
contract, order or anything else;
monitoring and control of key contract terms;
creation of all necessary documents: notifications,
claims, etc;
auto filling the required ERP systems with relevant data.
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NLP
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