August 13, 2025
5 min read
CIO
Create value with AI agents
AI agentic systems are evolving faster than any technology in recent memory. Mastering them requires robust data infrastructure, clear ROI metrics, security and trust, and a forward-looking operating model. Starting now can help you leverage AI agents for genuine business transformation. Beyond productivity, they are increasingly viewed as catalysts for tangible ROI and market disruption. At a recent Wall Street Journal CIO Network Summit, 67% of attendees indicated they’re actively piloting or deploying AI agents. In a poll conducted by Salesforce, 93% of enterprise IT leaders said they have implemented or plan to implement AI agents in the next two years. This remarkable rise underscores how AI has shifted from a speculative technology to near-mainstream in under two years. AI agents represent a paradigm shift:- They move AI from passive information retrieval to proactive execution and decision-making.
- They possess higher levels of autonomy and intelligence, enabling adaptation and optimization in response to environmental changes.
- They are evolving from simple "taskers" automating single functions to "orchestrators" where multiple AI agents interact to achieve complex tasks at scale.
- They operate across different domains — for example, reducing administrative overhead in healthcare and optimizing complex trading strategies in financial services — demonstrating true cross-industry applicability. KPMG suggests the paradigm shift lies not just in AI, but in IT as a whole. AI agents are forcing IT to reinvent itself and could fundamentally challenge the software as a service (SaaS) model. Currently, many AI agents are still in the “lift-and-shift” phase, where organizations seek to improve existing processes without fundamentally changing them. AI agentic systems have yet to be widely embraced as enablers of business transformation or catalysts for entirely new business models that can redefine products or services, disrupt markets, and solve sector-wide challenges. However, pressure is mounting. CIOs report hearing from their boards: “We need transformative value, not just incremental efficiency gains.” AI agents may be the answer.
- Measure your AI readiness
- Conduct a holistic opportunity assessment
- Implement an AI operating model designed for value, scalability, and sustainability Learn more about the foundation needed to integrate AI agents, foster innovation, and develop a competitive edge in KPMG’s article on creating value with AI agents.
- AI Agents: The Future of Business Automation
- Understanding AI's Impact on the Crypto Market
- How to Build a Robust Data Infrastructure for AI
Where do you begin?
The disruptive potential of AI agentic systems demands a focus on fundamentals to prepare IT for the opportunities ahead. Organizations should consider three phases of exploration to help AI agents perform:Why time is of the essence
Just as the cloud forced IT to transform from maintaining on-premise servers to cloud-first models, AI agents are now challenging existing IT models and forcing another reinvention. This disruption is accelerating faster than previous technology shifts, making it critical to initiate your transformation now. To learn more about how AI agents can help you deliver value, visit here.Frequently Asked Questions (FAQ)
Understanding AI Agents
Q: What exactly are AI agents? A: AI agents are sophisticated AI systems that can perform tasks autonomously, make decisions, and adapt to their environment. They go beyond simple automation by exhibiting higher levels of intelligence and proactivity. Q: How are AI agents different from traditional AI or automation? A: Traditional AI often focuses on analysis or specific tasks. AI agents, on the other hand, can orchestrate multiple tasks, interact with other agents, and make independent decisions to achieve complex goals, representing a significant leap in autonomy and capability. Q: Can AI agents be used across different industries? A: Yes, AI agents have cross-industry applicability. Examples include reducing administrative overhead in healthcare and optimizing trading strategies in financial services, demonstrating their versatility. Q: What is the difference between an AI agent "tasker" and an "orchestrator"? A: An AI agent "tasker" typically automates single functions or simple tasks. An "orchestrator" is a more advanced AI agent that can manage and coordinate multiple AI agents to achieve complex, scaled operations. Q: Are AI agents just automating existing processes, or can they enable new business models? A: While many organizations are currently in a "lift-and-shift" phase, aiming to improve existing processes, the true potential of AI agents lies in enabling business transformation and creating entirely new business models, redefining products, services, and markets.Implementing AI Agents
Q: What are the essential steps to start implementing AI agents effectively? A: Organizations should begin by measuring their AI readiness, conducting a holistic opportunity assessment to identify potential applications, and then implementing an AI operating model focused on value, scalability, and sustainability. Q: What are the key requirements for successfully adopting AI agentic systems? A: Successful adoption requires a robust data infrastructure, clearly defined ROI metrics, a strong emphasis on security and trust, and a forward-looking operating model that embraces continuous adaptation and improvement.The Impact of AI Agents
Q: How are AI agents impacting the broader IT landscape? A: AI agents are driving a paradigm shift in IT, forcing a reinvention of IT itself and potentially challenging the traditional Software as a Service (SaaS) model. Q: Why is it important to start leveraging AI agents now? A: The pace of AI agent evolution is unprecedented. Just as the cloud necessitated a transformation in IT models, AI agents are now demanding a similar reinvention. Acting quickly is crucial to gain a competitive edge and achieve genuine business transformation.Crypto Market AI's Take
The rapid evolution of AI agents signifies a major technological shift, akin to the impact of cloud computing. For businesses, this means that simply automating existing tasks is no longer enough; the real value lies in leveraging AI agents for true business transformation and market disruption. This trend is clearly reflected in the increasing adoption rates reported by industry leaders. At Crypto Market AI, we understand this paradigm shift. Our platform is built to harness the power of AI, offering sophisticated AI agents for crypto trading that go beyond basic automation, acting as intelligent orchestrators for complex trading strategies. By integrating advanced AI capabilities, we aim to empower users to achieve tangible ROI and navigate the evolving financial landscape.More to Read:
Source: Originally published at CIO.com on Tue, 12 Aug 2025 22:31:26 GMT