Every business makes operational and organizational changes like updating product features or revising internal policies. And like many leaders, I used to think tracking the implementation of those changes from start to finish was enough. However, I’ve repeatedly seen companies hit unexpected lags in their content adaptation timeline, and those lags can expose a business to costly risks.

For instance, a simple operational pivot can instantly require a company to update nutritional disclosures, legal disclaimers or compliance content across digital and physical channels. And when content updates lag behind operational shifts, it can leave the company exposed to compliance and safety risks.

To solve this challenge, I advise companies to use AI tools to streamline content changes. A business owner doesn’t need to worry during every major pivot, but they do need a strategy for implementing changes quickly and accurately. Here is how I recommend using AI to eliminate update lags and protect company operations.

Find Ways AI Can Update or Create Content

Any content that lives in multiple places may need to be updated simultaneously. For example, if an organization identifies an issue and decides to implement a change, content may need to be created or updated across websites, training videos, and documents.

One way to implement this without the risk of human error or operational inefficiencies is to rely on an AI system to take on the responsibility. Some AI solutions are built specifically for the purpose of minimizing these types of disruptions and inconsistencies.

According to the The State of Global Enterprise Growth report by Smartcat, an AI market adaptation company, more than half of organizations they surveyed added at least one new language to their digital assets in the past year. Imagine the time commitment it would take to manually update everything if you assigned that work to an employee.

Finding an AI solution to update content simultaneously across multiple platforms including websites, documents, and videos saves you time and money. This also helps organizations keep information consistent when products, policies or messaging change.

Other content solutions like IrisAgent use AI automation to analyze support interactions , create articles from recurring issues, and flag stale content for revision. Approved articles can be uploaded into connected support systems, helping companies create useful information to answer common customer questions.

Relying on these types of tools allows a business to maintain consistency in all public-facing materials without waiting weeks for manual updates to catch up.

Use Visual AI To Locate Outdated Content

What happens when you are asked to make sweeping changes to internal or external resources? Advanced AI tools can help you trace all the instances of content and images that need to be edited, replaced or deleted.

For instance, a business may want to locate all instances of an original product on its website and replace them with an image of the next-gen version of the product. A visual AI product like OpenArt can make it simpler to find and replace, even if the image is embedded in another image. Although a company may need to use a few different tools, it can save time and money to let the AI software do the work.

Companies with larger asset libraries can utilize similar tools like Cloudinary. Instead of searching for assets based on a single image, this visual AI tool can find images based on their contents. It can then use generative replacement capabilities to update objects within those images.

This approach is more efficient than expecting team members to do the work manually. Free AI tools like Google Lens can also help make sure images across social channels stay current, eliminating social media disruption caused by outdated media.

Pinpoint Process Bottlenecks With AI

As part of a big change at an organization, leaders may wind up revising some of their processes. But a company might have difficulty knowing exactly what to revise and what to keep. Specialized AI software can assist in this arena as well.

For example, consider investing in an AI product that’s been trained to identify likely process and workflow bottlenecks. By turning over this function to an AI tool, it sidesteps the need to ask team members where they think they’re experiencing inefficiencies. At the same time, leaders can overcome AI fatigue among employees by showing them a new way of using AI products.

How will taking this step help avoid operational risks? For one, a company can more smoothly reroute any work from document approvals to manufacturing assembly lines. For another, leaders can explain the exact reason that a process is changing by using data-driven insights.

It’s never easy to enact changes in organizations, but change is a reality of staying competitive in a modern business ecosystem. Even so, leaders don’t have to let change open their company to potential risk. Instead, businesses can rely on AI tools to help teams make necessary improvements and updates without feeling too stretched.