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Avoid Failure! Key Challenges of Agentic AI and How to Solve Them

26 February 2026

Discover the primary challenges of implementing Agentic AI through vendors and practical solutions to ensure your technology investment is successful, secure, and efficient. Read more.

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Agentic AI Challenges

The emergence of Agentic AI brings massive opportunities to drive business efficiency. Interestingly, this system does not just provide recommendations; it works autonomously to complete tasks. However, due to its sophisticated nature, implementing this technology through a third-party vendor comes with its own set of challenges. To ensure your investment doesn't go to waste, let’s understand these challenges and their solutions:

Challenges in Agentic AI Implementation and Their Solutions

Here are the primary challenges in implementing Agentic AI along with practical solutions you can apply:

1. Balancing vendor costs with internal team readiness

Utilizing Agentic AI vendor services requires a significant investment, ranging from licensing fees to data infrastructure adjustments. However, the greatest challenge is ensuring your internal team is ready to work alongside the technology.

The Solution: View the costs paid to vendors as a long-term investment. Start with small, well-planned steps. You can request the vendor to implement AI gradually in one department first so its effectiveness can be immediately measured. With thorough preparation alongside your vendor, the future efficiency benefits will far outweigh the initial costs.

2. Internal team adaptation

Many companies fail not because the vendor is poor, but because employees feel threatened. If you suddenly introduce AI technology without explanation, your team may fear their positions will be replaced. This can lead to reluctance or even resistance toward the new system.

The Solution: Introduce Agentic AI as a "smart assistant" for your team, not a human replacement. When collaborating with a vendor, ensure they provide specialized training for your employees. Clearly explain which tasks will be assisted by AI and which still require a human touch. When the team feels supported, they will be more enthusiastic about embracing the change.

3. Ensuring AI decisions are transparent and accountable

Since Agentic AI can make autonomous decisions, there are concerns that the results may not align with company policy. Often, systems provided by vendors feel like a "black box", where the reasoning is difficult to understand, making it hard to grant full trust.

The Solution: From the start of the contract, require the vendor to provide a transparent system. Choose technology that can explain the reasoning behind its decisions in simple terms. Additionally, ensure there are regular reports from the vendor regarding the steps taken by the AI. With this transparency, you can maintain your company's reputation and ensure all AI actions remain secure.

4. Maintaining system stability during wide scale deployment

Running a single AI agent might seem smooth, but as the vendor connects multiple agents across various divisions, the system load increases. This requires robust connectivity and infrastructure to prevent operational bottlenecks.

The Solution: Ensure your vendor utilizes flexible Cloud-based technology so capacity can be easily scaled as your business needs grow. Furthermore, ask the vendor to conduct regular system monitoring. This allows minor glitches to be handled immediately before they impact the company's workflow.

 

The success of using Agentic AI depends heavily on how you manage the partnership with your vendor and the readiness of your internal team. By mapping out risks with your vendor from the beginning, you are not just buying technology, you are building a smarter, more adaptive work system.

Agentic AI is a future competitive advantage, provided its risks are managed with a preventive approach. Through proper oversight and security systems, your company can avoid future losses. PT VADS Indonesia is ready to assist you in building a secure, ethical, and sustainable AI foundation for your business's long-term success.



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