As an IT leader, you’re feeling the pressure to pivot to artificial intelligence (AI)-led everything. But how can AI for IT work for you?

From generating hyper-relevant sales emails to prospects or anticipating a customer service issue with a VIP, AI is the new standard across all aspects of business. 

Everything hinges upon IT teams getting it right. AI for IT is a catalyst for transformation when done properly, and a ripple of consequences when done without careful consideration. Here’s how you can prepare for the challenges you’ll face when establishing AI at your company.

What you’ll learn about AI

• Speed up data integration with the right tools
• Build generative AI prompts to get you the answers you need, fast
• Work quickly without sacrificing security
• Making the most of AI for IT

Solution #1: Speed up data integration with the right tools 

AI depends on accurate, unified data to deliver critical insights and predictions. But despite a 31% increase in spending on custom integration efforts – which has risen to $4.7 million from $3.6 million in 2022 – only about a third of enterprise apps are talking to each other.

To build the experiences customers expect, it’s important to have the right tools and development environments at the ready. Using advanced integration capabilities with generative AI can make integrations faster. This lets you connect to any data or system, wherever it resides, with built-in security and governance. After all, it’s these integration challenges that slow down digital transformation initiatives for 80% of IT teams. 

It’s important to find solutions that connect quickly and securely to key industry systems. By effectively linking your data sources, your teams can get a complete view of every customer, helping you deliver the right experiences at the right time.

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Solution #2: Build generative AI prompts to get you the answers you need, fast 

We found that 86% of IT decision-makers worldwide believe that generative AI will play a significant role in their organizations in the near future. With pressure on IT leaders to deliver insights and recommendations from AI, unified data is an important first step, but only one piece of the puzzle. The next challenge is creating an environment where both IT and non-developers can use the full potential of AI. 

A prompt environment allows everyone to create and deploy generative AI in your organization. Because every generative AI-powered CRM app depends on the quality of the AI prompt, it’s useful to get a boost with the provided prompt templates. These templates guide IT teams in building AI prompts that will root the AI in specific data and instructions, making it possible for the AI to deliver better suggestions and get you the information you need faster. 

And this low-code and no-code prompt management tool allows IT teams to build, test, and fine-tune trusted AI prompts within a secure framework, automatically masking sensitive data to reduce bias and toxicity. 

With these tools, organizations can use AI to support everything from chatbots to auto-generated emails and product descriptions for websites. This means freeing up time to focus on deeper, more sophisticated challenges.

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Solution #3: Work quickly without sacrificing security

IT teams know all too well what can happen when an organization skirts security concerns to increase deployment speed – the average cost of not complying with data protection regulations is $14.8 million. With a tremendous amount of pressure to consistently deliver new solutions, IT leaders must balance speed and delivery with security.

Fortunately, AI can help get products out the door faster without sacrificing security. For instance, you can easily do this within Salesforce. Secure development environments with Salesforce Sandboxes allow teams to safely test processes with AI, avoiding the risk of introducing errors into the production org. Plus, Sandboxes can also help train new developers on how to build code responsibly with the help of generative AI.

And when it comes to production environments, Salesforce tools like Privacy Center offer more protection for sensitive data and compliance. With updated data management policies, IT teams can swiftly delete stale data or mask information at scale, enhancing the security of the production org. 

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Making the most of AI for IT

AI has become integral to IT operations, and as IT leaders, it’s important to be precise on how AI is brought in. 

It all starts with the right tools to pull together your data, while also keeping an eye on security and governance. Leading organizations are finding ways to tackle the challenges that come with AI for IT. And when done right, AI can make everything run more smoothly and keep customers satisfied.

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