4 Ways to Prepare Your Business for the Agentic AI Revolution

2025-03-03

The rise of agentic AI promises to reshape the way businesses operate, from workflow automation to entirely new forms of problem-solving. With AI agents expected to become the main users of enterprise systems by 2030, the time to prepare is now. As businesses are increasingly looking to integrate AI agents, the journey is not without its challenges. Experts and business leaders suggest several strategies to make sure your company is ready for the agentic AI revolution. Below are four key ways to ensure your business is prepared for this game-changing shift.

A Glimpse into the Future of AI in Business

The advent of agentic AI—intelligent agents capable of performing complex tasks autonomously—has taken the tech world by storm. As businesses strive to stay ahead of the curve, AI adoption is becoming more widespread. Accenture predicts that by 2030, these AI agents will be the primary users of enterprise digital systems, displacing traditional human operators. However, while the potential is enormous, business leaders remain cautious about jumping into AI-driven transformations without careful planning and exploration.

Recent insights from various industry experts highlight the importance of identifying relevant use cases, fostering a culture of experimentation, creating collaborative partnerships, and being prepared for setbacks. In this article, we explore four fundamental strategies that can help businesses navigate this complex transformation.

1. Identify Great Use Cases

James Fleming, CIO of the Francis Crick Institute, highlights the importance of choosing the right use cases for AI agents. His team has been testing Meta’s Llama 3 model and experimenting with how AI can assist in research tasks, such as synthesizing large amounts of academic literature. However, Fleming warns that automation in research must be approached with caution due to the risk of generating misleading results. AI agents should be seen as assistants, not replacements for human creativity and critical thinking. Identifying the most effective applications, whether in research, administration, or customer service, is key to successfully integrating AI into business processes.

2. Create Room for Exploration

At Microsoft, Carrie Jordan emphasizes the importance of curiosity when exploring the potential of AI agents. The company’s internal Center of Excellence (CoE) is focused on understanding the value of AI agents, especially in handling complex, multi-threaded tasks. Jordan points out that while agents may currently be able to handle only one task at a time, they hold significant promise in creating multi-agent systems that can collaborate and achieve more sophisticated objectives. Despite the hype surrounding agentic AI, Microsoft takes a thoughtful, experimental approach, seeking to separate the truly transformative potential from the noise.

3. Adopt a Partnership Approach

Raymond Boyle, VP of Data and Analytics at Hyatt Hotels, advocates for a partnership-based approach to AI adoption. Rather than imposing technology top-down, Hyatt works closely with line-of-business departments to identify how AI can be integrated into specific functions like finance, sales, and loyalty. This collaborative process ensures that AI solutions are aligned with business needs and that the right opportunities for AI integration are chosen. Boyle believes that once the right technologies are identified, AI agents will play a crucial role in Hyatt’s future operations, particularly in the hospitality and travel sectors.

4. Be Prepared to Fail

Keith Woolley, CDO at the University of Bristol, offers a sobering perspective on AI adoption: businesses must be ready to fail. He emphasizes that while agentic AI holds long-term potential, the implementation process is not without risk. Woolley imagines a scenario where AI agents assist with administrative tasks like admissions processing, which could significantly improve efficiency and engagement with students. However, he warns that bias in AI models, lack of proper learning, and potential errors could create setbacks. The key, according to Woolley, is to approach AI adoption with a mindset that accepts failure as part of the learning process, especially when piloting new technologies.

What Undercode Says:

As businesses increasingly look toward AI agents,

The experiences shared by leaders at the Francis Crick Institute, Microsoft, Hyatt Hotels, and the University of Bristol provide valuable insights into the practical realities of integrating agentic AI. They all underscore the importance of choosing the right use cases, taking a collaborative approach, and preparing for both successes and setbacks.

One of the key takeaways is the need for businesses to remain agile and open-minded during the AI adoption process. While the technology holds immense promise, the real challenge lies in identifying how AI can be used effectively without disrupting existing workflows. This means fostering a culture of experimentation and curiosity, where businesses can explore and iterate on AI solutions before committing to full-scale implementations.

Moreover, the partnership approach advocated by Hyatt Hotels is particularly noteworthy. It emphasizes the need for businesses to collaborate with their teams and stakeholders to find AI solutions that align with their specific needs. This ensures that AI adoption is not a top-down mandate but a collective effort that leverages the expertise of all involved parties.

At the same time, businesses must be prepared for the long-term nature of AI adoption. It’s not an overnight fix but a gradual process that requires constant refinement and adjustment. A willingness to fail, as Keith Woolley suggests, is crucial for managing risks and learning from mistakes as businesses experiment with AI technology.

The road to agentic AI will undoubtedly be bumpy, but with careful planning and a thoughtful approach, companies can harness the power of AI agents to revolutionize their operations and stay ahead of the competition.

Fact Checker Results:

AI Adoption Predictions: Experts agree that AI will play a central role in reshaping business workflows, particularly through agentic AI models. By 2030, it’s expected that agents will surpass humans in enterprise system usage.
Challenges with AI Implementation: While AI agents offer tremendous potential, businesses face challenges in their deployment, particularly around ensuring accuracy and minimizing bias in AI-driven processes.
Real-World Applications: The experiences shared by organizations like Hyatt and Microsoft demonstrate the practical application of AI agents in various industries, highlighting both the opportunities and challenges involved.

References:

Reported By: https://www.zdnet.com/article/4-ways-to-get-your-business-ready-for-the-agentic-ai-revolution/
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