Mission Critical Expert Knowledge Support AI Chat Bot

Client: Leading Utility Corporate
Location: Malaysia
Cooperation Date: 2021
Project Status: Ongoing
Deliverables: Software Development, Product Development

About Mission Critical Expert Knowledge Support AI Chat Bot

Interactive Knowledge Access transforms knowledge management for enterprises in mission-critical industries. By leveraging advanced AI technologies, real-time data access, and adaptive learning, the solution overcomes challenges like inefficient document searches, overwhelming data volumes, and delayed decision-making.

Empowering operators with secure, interactive, and scalable information access, it boosts productivity, streamlines troubleshooting, and enables faster, more informed decision-making.

Pain Points

• Overwhelming documentation hinders employee knowledge retention.
• Equipment failures due to configuration errors or oversights lead to significant downtime and costs.
• Manuals and guidelines are not effectively disseminated to those who need them, leading to missed opportunities for improvement.
• Inaccessible or outdated information discourages stakeholder engagement.

Overcoming the Challenges

Enhanced Knowledge Management:
We implement a change management process to ensure that all stakeholders’ needs are captured and addressed. This includes conducting on-field validation testing to validate assumptions and refine our approach.

Proof of Concept Development:
We develop a product to test the feasibility of our AI-powered solution in addressing the complex documentation challenges faced by the on-field operators.

Centralized Knowledge Hub:
We create a centralized knowledge repository that integrates with existing data sources, establishing a seamless data pipeline. This enables efficient access to critical information and reduces the risk of outdated or contradictory knowledge.

Technology Used

OpenAI ChatGPT Integration:
Integrating OpenAI ChatGPT into our AI development process enhances natural language understanding and generation capabilities. By leveraging the power of conversational AI, we can create intelligent chatbots, virtual assistants, and other applications that provide a more interactive and dynamic user experience.

Cloud Computing Services:
Integration with Amazon Web Service (AWS) Platform enables scalable and flexible infrastructure. Cloud services are fundamental to our lean approach, ensuring cost-effectiveness and efficient resource allocation during both development and deployment phases.

MLOps Services:
Our expertise with Machine Learning from our background of education and work as AI engineers help us to build a customised model from the existing AI models in the market.

DevOps Practices:
Implementing DevOps practices and tools, such as Docker streamlines the software development lifecycle. This enhances collaboration, accelerates deployment, and ensures a consistent and reliable environment for AI product development.

Flexible Data Management and Analytics:
Our AI development process seamlessly integrates with various data management solutions, including MongoDB for NoSQL flexibility and SQL databases for structured data. This versatility allows us to adapt to the specific needs of each project, ensuring efficient data preprocessing, analysis, and extraction of actionable insights. Leveraging MongoDB's document-oriented approach and SQL databases' structured querying capabilities, we optimize data handling for the best outcomes in AI model development.

Agile Development Tools:
Adopting agile development tools with JIRA to facilitate efficient project management and collaboration. This aligns with our commitment to lean principles, enabling rapid iteration and responsiveness to client feedback throughout the software development process.

User Interface/Experience (UI/UX) Design Tools:
Employing UX design tools with Figma enables us to create intuitive and visually appealing interfaces. This focus on UX design complements our AI solutions, ensuring that end-users not only benefit from powerful AI capabilities but also find the software easy to use and navigate.

Security and Compliance Tools:
Integrating security and compliance tools with SonarQube, ensures that our AI solutions adhere to industry standards and best practices. This is vital for addressing security concerns and regulatory requirements, particularly in industries with sensitive data.

Collaborative Development, Continuous Integration/Continuous Delivery Platforms:
Engaging collaborative research platforms with GitHub fosters knowledge sharing and collaboration among our team members. This facilitates the development of AI models and solutions through collective expertise and continuous improvement.

Outcomes

Improved Productivity:

• Better knowledge accessibility in turns reduce 15% request for costly human expert support
• Reduced time spent searching for information by up to 60%, enabling teams to focus on more strategic tasks.
• Faster decision-making through real-time access to accurate, unified data

Enhanced Collaboration:

• 2x Faster accessing crucial information during field work
• Streamlined communication and information sharing across teams, reducing operational bottlenecks and improving project timelines.
• Centralized access to information across geographies, improving cross-team collaboration

Cost Savings:

• Reduced reliance on manual processes, cutting operational costs by automating data retrieval and enhancing workflow efficiency.
• Reduced Training Cost thru shorter training time by 20%
• Lower IT maintenance costs by utilizing scalable cloud infrastructure with flexible pricing models.

Regulatory Compliance Support:
Designed with features that assist in meeting regulatory requirements such as GDPR, providing data security and privacy to help reduce compliance risks.

Scalability and Flexibility:
The platform adapts to growing data volumes and expanding user bases, ensuring long-term scalability without significant additional investment.

Quantifiable ROI:

• Increase 5% potential revenue thru diversification of training material and format
• Improved operational efficiency, leading to higher ROI as evidenced by beta users’ feedback on reduced search times and enhanced collaboration