Development of an AI-Driven Knowledge Management and Assessment Platform

The client, a growing consultancy platform, faces difficulties in providing an easy-to-use, scalable system for knowledge creation, management, and AI-driven assessments. They lack streamlined mechanisms for users to upload and organize data, and existing solutions do not support automated generation of structured assessments, hindering data utilization and operational efficiency.

A mid-sized consulting firm focusing on knowledge management and AI-powered assessment tools for enterprise clients.

• Develop a secure, scalable platform enabling users to upload, store, and update organizational knowledge data.
• Implement AI-powered tools that automatically generate structured assessments from stored data for faster decision-making and knowledge utilization.
• Ensure the system is intuitive, user-friendly, and adaptable for future feature updates.
• Deliver a minimum viable product within an agile development cycle to support rapid deployment and iteration.

• File Upload Module: Allow users to upload various data files (e.g., documents, spreadsheets) for inclusion in knowledge bases.
• Knowledge Base Management: Enable users to create, organize, and update knowledge repositories with version control.
• AI-Driven Assessment Generation: Utilize AI models to analyze stored data and produce structured, actionable assessments automatically.
• User Authentication and Role Management: Secure access with customizable permissions.
• Responsive User Interface: Ensure accessibility across devices with an intuitive UI.
• Future-proof Architecture: Design for modularity to incorporate additional features or integrations easily.

• File storage services for user-uploaded data.
• AI model APIs for assessment generation.
• Authentication services such as OAuth or SSO providers.
• Existing enterprise data sources or internal repositories, if applicable.

• System should support simultaneous uploads and access by hundreds of users without degradation.
• Response times for assessment generation should be under 2 seconds for typical data sets.
• Compliance with data security standards (e.g., GDPR, ISO/IEC 27001).
• System uptime of 99.9% with reliable data backup and recovery protocols.
• Modular architecture to facilitate incremental feature expansion.

The deployment of the AI-powered knowledge management platform is expected to enable organizations to store and manage their data more efficiently, reducing manual assessment efforts by automating structured report generation. This will lead to faster insights, improved data utilization, and enhanced decision-making capabilities, similar to previous implementations achieving delivery within two months, and scalable to support growing enterprise needs.