Companies have two options for integrating agentic AI: purchasing infrastructure software or building custom applications using APIs. As businesses prepare to adopt this technology, they should focus on selecting a platform, ensuring compliance and risk management, and experimenting with proofs of concept. Prioritizing impactful use cases will be crucial as firms aim to generate efficiencies and value from both generative AI and its more advanced counterpart, agentic AI. This new technology promises to significantly expand the possibilities of collaborative work, offering transformative potential across organizations.
Key takeaways:
- Agentic AI represents a significant advancement in AI technology, allowing software agents to function almost autonomously to solve complex problems.
- Agentic AI can perform tasks with minimal human oversight, offering higher quality outputs and advanced reasoning compared to traditional generative AI.
- Enterprises have the option to either buy infrastructure software or build their own agentic AI solutions, with considerations for integration and customization.
- Businesses should prepare for agentic AI by focusing on platform commitment, compliance, risk management, and prioritizing impactful use cases.