How does Perfect Wiki integrate with Microsoft Teams?
Perfect Wiki operates directly within the Microsoft Teams environment, creating a seamless integration with employee workflows. Users can pin the Help Center in Teams personal chat or channels, and view, create, and edit content straight in the Microsoft Teams. The AI chatbot can also be pinned in the Teams chat or channels.
How does Perfect Wiki convert a company's database of knowledge into an evolving help center?
Perfect Wiki uses AI technologies to automatically collate and organize content such as SOPs, FAQs, manuals, and guides into a self-service information repository. The AI sorts and processes the information, making it accessible and easily searchable. Along with this, AI chatbot answers spontaneous questions directly from the company's specific database.
How does the knowledge management work in Perfect Wiki?
Knowledge management in Perfect Wiki revolves around effortless conversion of company knowledge into an AI-powered help center in Teams. A firm can add SOPs, FAQs, manuals, and guides to create a professionally organized self-service help center. An AI chatbot can assist by providing automated responses to queries based on this accumulated knowledge. Additionally, AI-generated weekly reports can help continually improve the knowledge base by identifying content gaps, tracking changes, and revealing popular content.
How is data encrypted in Perfect Wiki?
Data in Perfect Wiki is secured by encryption in transit with perfect forward secrecy. This implies that the data being transferred from the source to the destination is encrypted and secure, making it nearly impossible for unauthorized entities to intercept or decipher.
How does Perfect Wiki comply with GDPR?
Perfect Wiki abides by the requirements of GDPR by ensuring that the user content is stored in compliance with this regulation. This includes informing users about data collection and obtaining their consent, only collecting necessary data, and ensuring data is encrypted in transit.
What information is included in the automated AI-generated weekly reports by Perfect Wiki?
Automated AI-generated weekly reports by Perfect Wiki offer a cumulative summary of the activity within the knowledge base. They indicate total page views, the most viewed pages, and content updates including created, updated, or trashed pages. They also showcase community engagement such as new comments, and search and bot queries.
How does Perfect Wiki identify data gaps and opportunities for updating information?
Perfect Wiki uses its AI-generated weekly reports to identify data gaps and opportunities for updating information. The reports analyze performance metrics, user queries, page views, and unsuccessful queries to identify content that may be missing, obsolete, or ripe for enhancement.
How does Perfect Wiki track document alterations and popular content?
Perfect Wiki tracks document alterations and popular content using its weekly reports. It logs the number of created or updated pages and highlights the most viewed topics. This aids in understanding which content updates have been successful and which ones might need further attention.
Can Perfect Wiki expose unsuccessful search queries or bot responses?
Yes, Perfect Wiki can unveil unsuccessful search queries or bot responses. The AI-generated weekly reports enumerate queries that returned no results, helping improve the knowledge base by adding missing information or refining bot responses.
How does Perfect Wiki handle data backups?
Perfect Wiki ensures data redundancies with automatic data backups. These backups are stored for a period of up to 60 days, ensuring no loss of data and maintaining continuity in operations.
Does Perfect Wiki work for all departments or teams within a company?
Yes, Perfect Wiki is designed to work for all departments or teams within a company. It allows the creation of multiple Knowledge Bases for each department or team, providing a comprehensive platform for information access and sharing.
How does Perfect Wiki help in reducing time wastage associated with context switching between platforms?
Perfect Wiki cuts down time wastage often associated with switching between platforms by working directly within the Microsoft Teams environment. This allows users to access or edit information without needing to move away from their workflow, enhancing efficiency.
What kind of content can be collated and managed with Perfect Wiki?
Perfect Wiki can manage a range of content including SOPs, FAQs, manuals, and guides. This content is collated into a centralized, easy-to-navigate help center, providing users with a single source for all their informational needs.
How do the AI chatbot responses in Perfect Wiki derive answers from a company's specific dataset?
The AI chatbot in Perfect Wiki generates answers by employing deep learning algorithms to parse the question, search for relevant content in the knowledge base, and produce an answer based on the data it uncovers. It offers complete responses based on a company's specific database, ensuring accuracy and relevancy in its answers.
What are the compatibility details of Perfect Wiki with other Microsoft tools?
Perfect Wiki seamlessly integrates into your employees' workflow within Microsoft Teams, providing instant answers without the need to switch contexts. Moreover, it enables single-sign-on with Microsoft and offers integration with Microsoft CoPilot, SharePoint, and Office 365.
How are Perfect Wiki's data backups performed and how long are they kept?
Data backups in Perfect Wiki are performed automatically and stored for up to 60 days. This means that the system automatically creates a save point for data at regular intervals, ensuring data integrity and reducing the risk of data loss.
What is the process for updating information in Perfect Wiki?
Updating information in Perfect Wiki is handled through its in-built editor within Microsoft Teams where users can create and edit content. Furthermore, users and administrators receive AI-generated weekly reports showing what information is viewed often, what queries returned no results, what pages were created or updated, thus enabling targeted and relevant updates.