As generative AI moves beyond basic demos and starts transforming industries, one important question is becoming critical: How can you be sure that your AI agents are working the way they should? Unlike traditional software, these agents don’t just follow step-by-step instructions. Instead, they take initiative, find answers, monitor systems, or even write code on their own. But as more companies begin to rely on these systems, they need clear ways to track and verify that their agents are doing their jobs correctly and consistently. To solve this challenge, IBM (IBM) researchers created something called AgentOps.
Confident Investing Starts Here:
- Easily unpack a company's performance with TipRanks' new KPI Data for smart investment decisions
- Receive undervalued, market resilient stocks right to your inbox with TipRanks' Smart Value Newsletter
Since AI agents often behave unpredictably, use flexible logic, and interact with other software and tools, it’s difficult to monitor them with traditional methods. As a result, AgentOps acts like a “dashboard under the hood” that helps developers and engineers understand how the agent makes decisions, what tools it uses, and whether it performs tasks as expected. Furthermore, it tracks changes in behavior, detects issues in real time, and compares current results to past performance. This not only helps improve reliability and accountability, but also allows agents to get better over time.
AgentOps is built on OpenTelemetry (OTEL), which is a common software tracking standard. It works with platforms like LangChain, watsonx, and CrewAI to trace agent activities. Interestingly, IBM added an analytics platform on top of OTEL to give developers deep insights by showing exactly how agents behave. It even offers suggestions on how to make them faster or more accurate. These analytics are powered by AI and can recommend ways to improve workflows, as well as cut costs. It is worth noting that AgentOps is already being used in IBM products like Instana and Apptio.
What Is the Target Price for IBM?
Turning to Wall Street, analysts have a Moderate Buy consensus rating on IBM stock based on seven Buys, five Holds, and two Sells assigned in the past three months, as indicated by the graphic below. Furthermore, the average IBM price target of $269.46 per share implies 7.2% downside risk.
