EEs's AI assistant + engine is an advanced conversational tool that
goes beyond scripted chatbot responses. It uses sophisticated
language models to understand and adapt to diverse business
contexts, enabling dynamic, human-like interactions. This
provides businesses with deeper insights, personalized solutions,
and a transformative approach to interacting with data,
customers, and internal operations.

How our AI engine is being used across industries:

Legal

• Data Inputs: Client Case Details (Internal), Recent Cases & Legal Databases (External)
• Use Case: Assisting lawyers in building a strong case by referencing recent verdicts and legal precedents.
• Core Benefit: Enhanced case preparation and strategy formulation.

Customer Service

• Data Inputs: Ticketing Systems (Internal), FAQs & Industry Best Practices (External)
• Use Case: Customer Support Chatbot integrated with customer support platforms.
• Core Benefit: Reduces response time, offers 24/7 support, and enhances customer satisfaction.

IT & Software Development

• Data Inputs: JIRA, Slack, Github (Internal), Stack Overflow & Documentation (External)
• Use Case: Slack bot that provides real-time updates on bug reports and pull requests, and suggests solutions from Stack Overflow.
• Core Benefit: Streamlines software development process and accelerates issue resolution.

AWS Services EES utilizes a variety of AWS services to bring you this solution. A Web portal is hosted on EC2 instances or ECS containers of your choice. AWS Bedrock foundational models are used in conjunction with third party generative AI APIs. If desired, private, open-source generative AI models can be configured for special use cases on EC2 instances.