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The CIO's Guide to Building AI Agents

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Updated on:
March 24, 2025

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The rise of AI agents represents a significant shift in how organizations can use artificial intelligence, moving from basic automation to intelligent systems that can independently handle complex tasks and make decisions. For Chief Information Officers (CIOs), this creates both exciting opportunities and notable challenges. While AI agents promise to transform business operations and drive innovation, building and implementing them effectively requires careful planning and the right technological foundation.

Many organizations struggle with common obstacles when developing AI agents: complex technical requirements, difficulties in connecting different systems and data sources, and challenges in maintaining security and control. Traditional approaches of relying on single-vendor solutions often prove too rigid and limiting, especially as technology continues to evolve rapidly. Today's enterprises need a more flexible and practical approach to building AI agents that can adapt to changing business needs.

This white paper explores:

  • Building Effective AI Agents: A practical guide to creating AI systems that can work independently and deliver real business value.
  • Overcoming Implementation Challenges: Key strategies for addressing common technical hurdles and ensuring successful deployment of AI agents.
  • Shakudo's Flexible Solution: How Shakudo's platform helps organizations build and manage AI agents while maintaining control and adaptability for future needs.

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Whitepaper

The rise of AI agents represents a significant shift in how organizations can use artificial intelligence, moving from basic automation to intelligent systems that can independently handle complex tasks and make decisions. For Chief Information Officers (CIOs), this creates both exciting opportunities and notable challenges. While AI agents promise to transform business operations and drive innovation, building and implementing them effectively requires careful planning and the right technological foundation.

Many organizations struggle with common obstacles when developing AI agents: complex technical requirements, difficulties in connecting different systems and data sources, and challenges in maintaining security and control. Traditional approaches of relying on single-vendor solutions often prove too rigid and limiting, especially as technology continues to evolve rapidly. Today's enterprises need a more flexible and practical approach to building AI agents that can adapt to changing business needs.

This white paper explores:

  • Building Effective AI Agents: A practical guide to creating AI systems that can work independently and deliver real business value.
  • Overcoming Implementation Challenges: Key strategies for addressing common technical hurdles and ensuring successful deployment of AI agents.
  • Shakudo's Flexible Solution: How Shakudo's platform helps organizations build and manage AI agents while maintaining control and adaptability for future needs.

The CIO's Guide to Building AI Agents

Learn how CIOs can build and deploy AI agents that drive business value. Practical strategies for implementing intelligent systems while maintaining flexibility and control.
| Case Study
The CIO's Guide to Building AI Agents

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The rise of AI agents represents a significant shift in how organizations can use artificial intelligence, moving from basic automation to intelligent systems that can independently handle complex tasks and make decisions. For Chief Information Officers (CIOs), this creates both exciting opportunities and notable challenges. While AI agents promise to transform business operations and drive innovation, building and implementing them effectively requires careful planning and the right technological foundation.

Many organizations struggle with common obstacles when developing AI agents: complex technical requirements, difficulties in connecting different systems and data sources, and challenges in maintaining security and control. Traditional approaches of relying on single-vendor solutions often prove too rigid and limiting, especially as technology continues to evolve rapidly. Today's enterprises need a more flexible and practical approach to building AI agents that can adapt to changing business needs.

This white paper explores:

  • Building Effective AI Agents: A practical guide to creating AI systems that can work independently and deliver real business value.
  • Overcoming Implementation Challenges: Key strategies for addressing common technical hurdles and ensuring successful deployment of AI agents.
  • Shakudo's Flexible Solution: How Shakudo's platform helps organizations build and manage AI agents while maintaining control and adaptability for future needs.

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Neal Gilmore
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