How CIOs can find the right AI platform for enterprise workflows

Recently, organizations have looked towards adopting AI to supercharge their operations, with endeavors often spearheaded by CIOs and IT teams. However, few have managed to fully harness AI's potential for the enterprise due to significant challenges presented by issues like deficiencies in data management and infrastructure, privacy and security concerns, and more. 

In order to scale AI efficiently and effectively, it’ll take an innovative approach that’s capable of not only connecting to all your data, but also in a way that takes into account the full context of everything that occurs within an enterprise. That includes all the content, activity, and collaborators that exist across multiple departments, projects, and applications. 

Comprehensive solution with no compromises

When it comes to questions that need answered in the enterprise, most are horizontal in nature. Whether it takes a meeting with a subject matter expert, perusing through an internal wiki, poring through multiple threads on Slack, or several buried emails, the right answer often requires multiple sources and confirmations to put together. So what sort of platform should CIOs consider that enable AI to successfully answer those questions? 

That’s where a complete system—a horizontal strategy for AI—enables it to work with enterprise data and workflows.

Great solutions not only enable you to connect to all your enterprise data out of the box, but they enable employees to also build customized assistants and agents that work precisely for their unique workflows. Open APIs should also allow developers and other apps to flexibly and securely leverage otherwise unleveraged data buried within workplaces. 

The future of enterprise AI

However, most of today's generative AI tools are just the tip of the iceberg. Customized and domain-specific generative AI experiences, such as assistants, copilots, chatbots, and more, delivering proactive insights with AI across various applications, are the next step in the process of AI for work. 

To achieve this, CIOs need to take into account three critical functions that are essential to AI succeeding in enterprise environments: 

• Reasoning
  • AI reasoning, interactable with natural language processing, replaces writing complex custom workflows and makes agents easily accessible to all.
    
• Tools
  • Agents must be able to use the systems and apps where you work on your behalf, taking direct action to accomplish tasks.
    
• Data
  • Agents must access, understand, and analyze your personal and enterprise data to do work, in a manner that preserves privacy and security regardless of what the data lives. 

Enterprise-ready agents — today

For CIOs looking to stay ahead of the curve by harnessing the potential of generative AI now and today, it’s important to keep these factors in mind to ensure that they onboard a solution that’s effective, secure, and cost-efficient. 

Looking for a deeper dive? Get the full buyer’s guide for free and discover what makes a generative AI solution truly enterprise-ready.