Closed Beta: Axero Copilot is currently available as a closed beta, contact your Client Success Manager today for more details.
"Hello. This wiki will provide insights into Axero Copilot and best practices for effectively implementing me among your users."
Axero Copilot is an advanced AI-powered chatbot built on the foundation of OpenAI's GPT technology. Axero Copilot is uniquely designed to operate within your organization's intranet, providing a private and secure environment for accessing and interacting with internal content.
Unlike traditional search engines or knowledge management systems, Axero Copilot goes beyond merely retrieving relevant documents; it comprehensively reads and analyzes content to provide concise and accurate responses to user queries. By utilizing natural language processing, Axero Copilot enables users to engage in conversational interactions, significantly enhancing knowledge discovery and retrieval within the organization.
Search Results: Axero Copilot is designed to search for keywords and read unfiltered documentation results to provide answers efficiently.
Unfiltered documentation search results are derived from the following content types:
Excluded content types are:
While Axero Copilot's primary function is to search documentation content effectively, it may also read and understand:
Access to Intranet Content: Axero Copilot has exclusive access to your organization's intranet content, ensuring all interactions occur in a secure environment. It can search through a wide array of documents, including articles, presentations, and files, providing users instant access to valuable information.
Conversational Interface: Unlike traditional search interfaces, Axero Copilot offers a conversational experience similar to interacting with a colleague or teammate. Users can ask questions naturally without navigating complex search queries, facilitating smoother knowledge retrieval processes.
Personalization and Permissions: Axero Copilot operates on a personalized and permission basis, ensuring that users only access content relevant to their roles and permissions within the organization. This personalized approach enhances data security and confidentiality.
Content Analysis and Relevance Scoring: Axero Copilot uses logic to analyze content and assign relevance scores to retrieved information. This enables it to prioritize and present the most pertinent details to users, streamlining the information retrieval process.
Customization Options: Each Axero Copilot installation can be customized to align with your organization's specific requirements and branding preferences. Customization options ensure seamless integration with existing systems and workflows, from the interface design to the naming conventions and logo.
When a user asks a question, Axero Copilot locates the relevant information and responds with a concise summary in text format. Below the line, Axero Copilot primarily targets content providing insights into the response to user queries. It includes relevance scores and references to similar topics, all tailored based on user permissions to ensure access to authorized content only.
We know every organization is unique, and Axero Copilot can be customized to fit your needs. Here are some things that can be changed:
Analytics provides administrators with invaluable insights into Axero Copilot user interactions, enabling them to optimize performance and enhance user satisfaction. With sorting, filtering, customizable timeframes, and detailed session information, administrators can review activity, analyze feedback, and understand user behavior to optimize Copilot's performance and enhance user satisfaction.
Learn more about Axero Copilot Analytics here
Here are some best practices to help guide your organization in rolling out Axero Copilot among your users. These recommendations will optimize user adoption and enhance the overall effectiveness of the Axero Copilot Implementation process.
Content Size Optimization
Axero Copilot is masterful at scanning a lot of content, but it also limits how much information it can read before synthesizing a response. If your Axero Copilot is having difficulty digesting large files and documents, connect with your implementation specialist to identify the best strategy to help your users get the responses they need. We may adjust prompts to focus the AI's attention, upgrade GPT models for deeper document reading, or employ other strategies to make content more digestible, such as splitting up PDFs with hundreds of pages.
Formulating Effective Queries
We encourage users to ask specific questions in natural language. Instead of vague inquiries, we encourage users to be precise and provide context where necessary. Include relevant keywords or phrases to help Axero Copilot better understand your query and provide accurate responses.
Narrowing/Focusing Responses
When users must follow up on initial responses to gain more focused or detailed information, they can do this by asking clarifying questions or providing additional context to steer the conversation in the desired direction.
1) Log in to the software using your company credentials.
2) Navigate to the 'Schedule Meeting' option.
3) Enter the meeting details, including the date, time, and participants.
4) Choose the desired settings, such as audio and video preferences.
5) Click 'Schedule' to confirm the meeting."
Understanding Responses
When discussing Axero Copilot with your users, emphasize the importance of paying attention to the relevance score assigned to each response, as higher scores signify greater alignment with the query.
Providing Feedback and Types of Useful Feedback
We encourage users to regularly provide feedback following interactions with Axero Copilot, as it can offer insights for progressively enhancing performance and accuracy. Instruct your users to specify the reason for their feedback, whether it pertains to identifying inaccuracies, suggesting improvements, or expressing satisfaction with the provided responses.
Understanding what Axero Copilot can't do is essential for your organization to manage expectations and maximize utility. While Axero Copilot is a capable assistant, it's important to acknowledge its limitations—such as making your coffee! Axero Copilot may not always provide contextually refined responses. Some scenarios where it can't do its magic include:
Lack of Documented Procedures
Insufficient Coverage of Specialized Topics
Highly Contextual or Personalized Queries
Ambiguous or Unclear Queries
Sensitive or Confidential Information Queries
In these situations, you may need assistance from human experts or consult external resources to obtain satisfactory answers. Understanding these boundaries helps our users to use Axero Copilot effectively while recognizing its strengths and knowing when to seek additional support, even if it's just for a caffeine boost!
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