Loading

AI

Skip Feed
  1. What AI capabilities and real-world use cases are currently available in ITAM Flexera One, and has anyone successfully implemented them?

    HI ALL,

     

    We are currently exploring the AI capabilities within ITAM Flexera One and would like to understand the available use cases. At present, we are familiar with AI functionalities related to Purchases and Contracts, and we have also noticed the AI Agent feature for documentation search.

     

    However, we are interested in gaining a comprehensive understanding of all AI capabilities available in ITAM Flexera One. It would be helpful to know if any organizations or users have already started implementing AI features in their environments and can share their experiences or use cases.

     

    This insight will help us streamline operations for our Administrator and SAM teams, as well as improve overall efficiency for our customers.

     

    Regards,

    Ravi Ladhawala

    Expand Post

  2. Empowering Decisions with Intuitive, Actionable Data using Data Explorer - Live Now!

     

    Release Summary

    We’re excited to announce the General Availability of Data Explorer on Jan 15th, an AI-native reporting experience built on the Technology Intelligence (TI) Platform. Data Explorer enables users to ask questions about their inventory data in plain English and instantly receive tabular reports dramatically reducing the time from question to decision.

    Flexera users can now move from “What do I need to know?” to “What should I do next?” in seconds, without having to learn complex data schemas or navigate through a plethora of UI pages and BI report views or learning schemas.

     

    What’s New

    Data Explorer introduces a single conversational entry point for exploring TI inventory data:

    • Ask questions in natural language (e.g., “Show devices nearing end of support in next 30 days”).
    • Instantly generate tabular reports with the most relevant columns.
    • Add columns or refine your prompt to add more details to the reports
    • Export the results to a CSV file.
    • Save and reuse reports so teams stay aligned on a single source of truth always.
    • Prebuilt starter templates help users quickly begin exploring their data without needing to know the right question upfront.

     

    Before Scenarios:

    • Practitioners relied on custom BI reports or executable scripts with GraphQL queries that answered their routine operational questions.
    • Answering simple data queries required deep schema knowledge, frequent context switching, and manual exports.
    • Teams debated data accuracy due to multiple versions of reports across tools.
    • Power BI dashboards optimized for aggregated analytics fell short for row-level filtering and large-scale exports (beyond 150,000 rows for download) needed for operational decisions.

     

    After Scenarios:

    • A single interface to explore TI inventory data.
    • Plain-English questions return action-ready tables, with extensive flexibility to connect data across the Unified Object Model meeting customer needs regardless of the use case.
    • Everyone works from the same saved view, reducing confusion and rework.
    • Starter templates provide guided entry points for common use cases, helping users get immediate results, build confidence, and move quickly from exploration to action.

     

    Release Collateral:

     

     

     

    Expand Post

    MercedesO likes this.

  3. Launched GraphQL AI Query Generator

     

    We’re excited to announce the release of GraphQL AI Query Generator, a powerful new capability in Flexera One IT Visibility with Technology Intelligence Platform that makes querying your hybrid IT estate faster, easier and more intuitive than ever.

     

    From code to conversation: AI-powered query generation

    GraphQL has long been a favorite for business users and developers who want precise, efficient access to data across Flexera One. But writing GraphQL queries takes time, skill and a bit of trial and error.

    Now, the AI writes the queries for you. With GraphQL Query Generator you can use natural-language processing to build, tweak and run queries. Just describe what you need and the AI handles the rest. You’ll get results in seconds, ready to download or view directly in the interface.

     

    Key capabilities at a glance:

    • Natural language “Query AI”: Simply type a plain-English request— For example, “List of devices with Oracle Installed”—and the generator produces valid GraphQL instantly, eliminating manual syntax work.
    • Built-in data-model explorer: A documentation pane lets you browse the unified object model (UOM) to discover entities and relationships before you query, so there’s no need for time-consuming schema digging.
    • Embedded IDE with history. The in-browser GraphQL editor supports editing, prettifying, and recalling recent queries.
    • Instant results preview & CSV export. Run your query, see the JSON or table immediately, then export to CSV for deeper analysis or reporting.
    • Foundational Step for the AI Roadmap: This feature represents a key component of the TI Platform’s AI Roadmap, as the AI model developed here will serve as the basis for the development of additional AI-native capabilities in the future.

     

    Customer Impact:

    • Reduces the analysis time: AI handles the syntax so business users can focus on insights rather than code.
    • Democratizes complex data. Even teams with zero GraphQL experience can use AI to create GraphQL queries for datasets such as device, software, VMHost, business service and catalog.
    • Speeds decision-making: These queries can be used in automated scripts to get data out of the TI Platform

     

    Release Version: N/A

    Release Date: 22nd July 2025

    Product Documentation: https://docs.flexera.com/flexera/EN/ITVisibility/TIQIAPIquerygen.htm

    Release Note: https://docs.flexera.com/flexeraone/EN/WhatsNew/FeatureList/July2025-graphql-qb.htm#2025_1774116622_1172693

     

     

    Expand Post

    kimnewsom and johnksilverwood like this.

  4. Launching GraphQL AI Query Generator

     

    We’re excited to announce the release of GraphQL AI Query Generator, a powerful new capability in Flexera One IT Visibility with Technology Intelligence Platform that makes querying your hybrid IT estate faster, easier and more intuitive than ever.

    From code to conversation: AI-powered query generation

    GraphQL has long been a favorite for business users and developers who want precise, efficient access to data across Flexera One. But writing GraphQL queries takes time, skill and a bit of trial and error.

    Now, the AI writes the queries for you. With GraphQL Query Generator you can use natural-language processing to build, tweak and run queries. Just describe what you need and the AI handles the rest. You’ll get results in seconds, ready to download or view directly in the interface.

     

    Key capabilities at a glance:

    • Natural language “Query AI”: Simply type a plain-English request— For example, “List of devices with Oracle Installed”—and the generator produces valid GraphQL instantly, eliminating manual syntax work.
    • Built-in data-model explorer: A documentation pane lets you browse the unified object model (UOM) to discover entities and relationships before you query, so there’s no need for time-consuming schema digging.
    • Embedded IDE with history. The in-browser GraphQL editor supports editing, prettifying, and recalling recent queries.
    • Instant results preview & CSV export. Run your query, see the JSON or table immediately, then export to CSV for deeper analysis or reporting.
    • Foundational Step for the AI Roadmap: This feature represents a key component of the TI Platform’s AI Roadmap, as the AI model developed here will serve as the basis for the development of additional AI-native capabilities in the future.

     

    Customer Impact:

    • Reduces the analysis time: AI handles the syntax so business users can focus on insights rather than code.
    • Democratizes complex data. Even teams with zero GraphQL experience can use AI to create GraphQL queries for datasets such as device, software, VMHost, business service and catalog.
    • Speeds decision-making: These queries can be used in automated scripts to get data out of the TI Platform

     

    Release Version: N/A

    Release Date: 22nd July 2025

    Product Documentation: https://docs.flexera.com/flexera/EN/ITVisibility/TIQIAPIquerygen.htm

     

    Expand Post

End of Feed
4 Chatter Feed Items
ALL CONVERSATIONS
UNSOLVED
ARTICLES
4 Posts
2 members are discussing this topic.

Related Topics

Loading
AI | Flexera