Businesses often face challenges with generic AI chatbots that fail to understand industry-specific terminology, lack context awareness, and provide inaccurate or irrelevant responses. These limitations can lead to poor customer experiences, inefficiencies, and a lack of trust in AI-powered interactions. Recognizing these issues, Nado AI was developed as a tailored AI assistant designed to meet the unique needs of businesses across various industries.
With Nado AI, clients have complete control over their AI’s knowledge base, enabling them to manually upload, customize, and manage their own data repository. This feature ensures that AI-generated responses are not only accurate and contextually relevant but also fully aligned with business-specific information, policies, and industry standards.
By leveraging advanced automation and intelligent response generation, Nado AI enhances customer interactions, streamlines workflows, and provides businesses with a scalable AI solution that evolves with their needs. Whether it’s customer support, internal process automation, or knowledge management, Nado AI empowers organizations to deliver personalized, efficient, and highly reliable AI-driven conversations. See more case studies.
Hours delivered back to the business
SOX compliance in Settlement process automation
Success rate of bot case completion
For functional release of OBT, RTS and OGS
The Challenge
Developing Nado AI required tackling several key challenges, including:
- Generic AI Responses: Enabling businesses to refine AI interactions with custom knowledge uploads.
- Data Security & Privacy: Implementing strict controls to ensure proprietary data remains protected.
- Seamless Knowledge Management: Creating an intuitive system for manually uploading and updating knowledge banks.
- Scalability for Large Datasets: Ensuring efficient handling of vast amounts of custom business data.
- Easy Integration with Existing Workflows: Allowing businesses to incorporate AI assistance into their current systems.
What did
Krptoninc do
The platform was deployed in structured phases for smooth adoption:
- AI Training & Knowledge Bank Structuring: Helped businesses organize and optimize their proprietary data for AI learning.
- Security & Compliance Implementation: Ensured data encryption and role-based access controls.
- Performance Testing & Scalability Enhancements: Optimized response speed and AI accuracy even with extensive datasets.
The Results
- Highly Context-Aware AI Responses
- Efficient Business Knowledge Management
- Enhanced Security & Data Privacy
- Scalable & Adaptable AI Framework
- Seamless Workflow Integration
The technology that we use to support Paysafe
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