Instead of manual data analysis, AI in HappySignals helps you detect trends, extract useful information and categorize your data in order to make wise decisions with our platform.
Last updated: February 2025
Article Summary
- HappySignals AI saves users a lot of time by analyzing and summarizing data.
- Azure OpenAI is used for summarization, classification, and sentiment analysis.
- Customers manage data transfers; no independent access or personal data processing.
- No third-party sharing; AI data is sandboxed and discarded after use.
- Blocks inappropriate content for a safe experience.
The HappySignals platform handles vast amounts of data about the experiences your employees are having with different touchpoints. In large organizations, reviewing all end-user feedback about, for example, a specific service from the past six months could take hours of manual work. Traditionally, this might have involved manual data analysis and reading through hundreds of comments — time-consuming and inefficient.
That's why the HappySignals platform harnesses the power of AI to make understanding and analyzing the data easier and faster for you. What used to take hours can now be done in a fraction of the time, thanks to AI-powered efficiency.
How AI is used on the platform
HappySignals uses Microsoft’s implementation of OpenAI, hosted in Azure data centers.
You can find more details about the Azure AI platform’s security and privacy measures at:
HappySignals platform uses Natural Language Processing (NLP) for interaction between computers and human language. NLP involves a range of techniques and algorithms that allow computers to process and analyze text. These techniques include tasks such as text classification, sentiment analysis, translation, named entity recognition, language generation, and more.
Beyond NLP, the platform also uses AI to summarize the data and discover insights from the numbers, trends, and other category data stored on the platform.
The platform does not currently provide the capability for open prompting.
Together, these capabilities transform complex data into actionable insights, empowering your decision-making process.
How the data is processed and stored
HappySignals customers are in control of what data is transferred to the HappySignals platform. HappySignals processes only the data that is transferred and stored on the platform. The platform does not filter the data transfers.
Our approach ensures that your data remains secure and fully under your control:
- Customer-specific database: All data sent to our platform by your organization is received and stored in a customer-specific database.
- No Independent Access: HappySignals does not have the capability to independently acquire additional data from your organization's ITSM tool.
- Administrator Control: Changes to enable or disable data transfers for any data categories can only be configured by your organization's HappySignals administrators.
- No Personal Data Processing: If your organization is not sending personal data to the HappySignals platform for processing, the HappySignals AI implementation will not be used to process personal data.
How we ensure privacy and security of your data
At HappySignals, we prioritize the security and privacy of your data.
- Data Privacy: The data processed by AI on the HappySignals platform is not shared with third parties or used for AI training purposes.
- Sandboxed Environment: All data processing happens in a sandboxed environment. Once AI has completed the data generation and showed the output to the platform user, it will be disregarded.
- Content and abuse monitoring: If data contains inappropriate content (e.g. hate speech or prompt attacks), AI processing will filter the output or stop the processing entirely.
Our team will happily provide you with more information and answer
any questions. Please contact: support@happysignals.com