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How Agentic AI Is Delivering Transformational Value and Making Everyone a Data Expert

3 minute read
Jon Stevens-Hall

IT service and operations teams increasingly benefit from enriching their work systems with modern technology. Artificial intelligence (AI) reduces toil, identifies and summarizes important information, and makes recommendations, enabling IT organizations to focus their critical skills more effectively. However, the data collected during this work is frequently underutilized or overlooked once its immediate purpose is complete. AI can help unlock and extend its value.

Data, data everywhere

Transactional data records used by IT management tools have two distinct phases of value. First, a data object is created to describe and categorize the scenario and to manage a resolution to completion. Some familiar examples of the “tickets” created in these scenarios are detected infrastructure events, incidents, and change requests.

Once the work is completed, there is a second, extended value phase. The ticket data stored about the work becomes a small component of a large, aggregated set of information. Over weeks and months, organizations accumulate thousands or even millions of these transactional records. The result is a dataset with the vast potential to provide valuable information about the people, processes, and systems involved in day-to-day activities. Collectively, this information is a rich resource for organizational improvement, enabling intelligent decisions, informed strategies, and accurate answers to inquiries.

The data analysis bottleneck

Unlocking the value within this data has long been a specialist skill, requiring dedicated reporting tools and a knowledge of complicated database structures. This challenge can create a bottleneck, with the demand for fast information often exceeding the capacity of reporting teams to provide it.

Simply increasing the number of people dedicated to data analysis does not usually solve the problem. Many organizations have experienced an induced demand effect, where the benefits of effective data analytics lead more people want those services. The more successful reporting teams are in delivering valuable insights, the more the demand increases for their time and skills.

Unlocking and extending the value of IT data

However, just as AI has enabled optimization of the active phase of a data record’s life, the technology is now transforming this secondary phase, too. As one of the agentic AI assistants in the BMC Helix platform, BMC HelixGPT Insight Finder enables any consumer of operational data to gain deep and broad insights from large datasets simply by conversing with the assistant. This practical use of generative AI (GenAI) helps employees fulfill their own data needs, rather than joining the back of the work queue of a specialist data analysis team.

BMC HelixGPT Insight Finder allows consumers to simply ask for the data they need in plain language. The fine-tuned agentic AI assistant translates those requests into the data queries required to retrieve appropriate information, then presents the information to the user via visualizations. This AI assistant easily combines multiple data sources into structured insights, reducing the need for complex query building.

The conversation can also continue beyond the first response. Upon receipt of the initial presentation of data, the user can ask for deeper analysis, clarifications, or additional queries. These secondary insights are gained instantly, once again without needing to access the reporting team.

The transformative value of AI

The skills of expert data analysis teams are too valuable to be used in repetitive reporting work. As enterprises and large organizations continue seeking ways to increase the value of their data through new technologies, GenAI is taking center stage. Providing enterprise teams with an AI-driven facility to fulfill most reporting needs liberates expert data analysts from routine request fulfillment. Solutions like BMC HelixGPT Insight Finder make everyone in the enterprise a data expert so enterprises can yield differentiating and transformational value from the vast storage of data collected every day.

Click here to discover how agentic AI can transform your enterprise data into a proactive force that improves business results or contact BMC Helix.

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These postings are my own and do not necessarily represent BMC's position, strategies, or opinion.

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About the author

Jon Stevens-Hall

Jon Stevens-Hall is a Principal Product Manager for BMC Helix ITSM. He was a contributing author on several of the ITIL 4 Managing Professional books (“Create Deliver and Support”, and “High Velocity IT”). His work focuses on innovative new tooling for Service Management, and the evolution of ITSM in the DevOps era.