Governance as a Top Priority for Agentic AI Users
In the rapidly evolving landscape of technology, governance has emerged as a critical concern for organizations adopting agentic AI systems. A recent survey reveals that nearly 80 percent of IT professionals rank governance as ‘extremely important’, indicating a strong desire to innovate responsibly.
Survey Insights
The study, conducted by a prominent API management firm, focuses on the usage of Agentic AI systems and Large Language Models (LLMs) among large and midsize companies. The findings show that 72 percent of respondents are actively utilizing agentic AI systems in their operations today.
Looking ahead, there is a palpable enthusiasm for future adoption, with 21 percent of respondents planning to implement these systems within the next two years. This trend underscores a commitment to enhancing operational capabilities through advanced technological solutions.
Driving Forces Behind Implementation
The survey highlights that 74 percent of participants view increasing operational efficiency as a primary driver for implementing agentic AI systems. These systems are increasingly recognized as essential tools for:
- Automating repetitive tasks
- Reducing manual overhead
- Streamlining internal processes
Additionally, improving customer experience (46.23 percent) and reducing costs (37.74 percent) are also significant factors influencing the adoption of AI technologies, signaling a shift towards utilizing AI not only for innovation but also for achieving bottom-line results.
Implementation Strategies
The most common approach to implementing agentic AI is the establishment of a dedicated AI team, with 37.74 percent of respondents indicating this as their primary implementation group. This trend points to the emergence of a new specialization within enterprises, which combines:
- Orchestration
- Prompt engineering
- Integration strategy
- Governance
Despite this, traditional data science and engineering teams remain integral to the process, contributing 29.87 percent and 16.98 percent respectively.
Budget Allocations and Executive Support
Notably, 49.06 percent of respondents report that their initiatives are supported by a new budget specifically allocated for agentic AI. This suggests strong executive buy-in and a long-term commitment to integrating these systems into their operations. However, a significant portion (35.53 percent) are reallocating funds from existing budgets, indicating a strategic approach to resource management without compromising other IT initiatives.
Conclusion
The survey data reflects a broader trend within the industry. Companies are eager to implement agentic AI systems and LLMs to enhance productivity and customer experience, yet they remain cautious, particularly regarding governance and control. As organizations continue to refine their management strategies for these challenges, it is expected that the adoption of agentic AI and LLMs will accelerate even further.
