AI is more than a technical innovation. It’s a mindset that leading companies are using to transform their organizations. Businesses that take the lead in this emerging era of AI will be able to better use the technology to solve critical issues and mitigate potential operational bottlenecks.
Here are some areas where organizations can use AI to drive organizational transformation.
AI Can Empower a Future-Ready Workforce
The rumors are true; AI will most likely replace some employees. That is an issue business leaders should be thinking through, especially as they consider the ways AI can lead to organizational transformation.
What Is Organizational Transformation?
Organizational transformation improves processes in a business by targeting performance, profitability, growth and innovation. It reimagines and reshapes multiple facets of the organization to improve those areas. Organizational transformation is often prompted by a desire to address evolving business environments and market conditions.
At this point, it’s better to see how AI can support your employees than how it may supplant them. When properly deployed, AI can help all your employees to thrive.
Customer service is a great example of an area where organizations are failing to get the maximum potential out of AI. Staffing your website with AI-driven chatbots has become the norm, but AI can do much more for customer service than simply triage customer inquiries or schedule bookings.
Google’s Vertex AI Search platform is an example of how AI can bring organizational transformation to customer service. For example, healthcare workers face the challenge of gathering information from customer data spread across a wide variety of systems and stored in a variety of formats. Providing comprehensive answers that consider all of the possible sources for medical information is a task that frustrates both healthcare workers and the patients they are trying to serve.
Vertex AI Search provides one access point for data in electronic health records, clinical notes and scanned documents. The AI that drives the search also allows users to ask questions such as “What medications have been prescribed to this patient in the last six months?” It serves as an assistant that understands data, rather than just a portal that provides access.
AI’s ability to provide predictive analysis is another feature that can lead to organizational transformation. What skills will be most important in the workplace in 2025? A quick query on Claude.ai, a virtual AI assistant, can answer that question. Critical thinking and creativity are near the top of the list, in case you were wondering.
A deeper question AI can answer is what steps your organization needs to take in your unique industry to become future-ready. By combining predictions about future needs with an analysis of your team’s strengths and weaknesses, AI can develop a strategy for organizational transformation that drives future-focused recruiting and skills development.
Deploying AI in these ways keeps the value of improvement and evolution constantly in front of employees, and thus leads to organizational transformation.
AI Can Speed Up the Learning Curve
As mentioned above, AI can sift through organizational data to identify the knowledge gaps that will threaten an organization’s ability to meet future needs. Combined with predictions about industry evolution, this can guide the development of learning.
At that point, AI can be used to speed up the organizational learning curve by dynamically refining the learning process. AI’s ability to provide hyper-personalization allows it to deliver the right training to each employee, leading to tangible business outcomes that drive the organization’s evolution.
AI-driven learning goes beyond tracking performance to adjust training in real-time based on performance. When integrated with employee performance data, AI-driven learning can go even further in transforming organizations by measuring the effectiveness of the training on day-to-day performance, rather than just gauging the progress made in learning platforms.
What Is Hyper-Personalization?
Hyper-personalization leverages data, user insights and AI to create individually tailored recommendations. It moves beyond basic personalization by increasing the number of data points involved in crafting recommendations. Its goal is to improve engagement and growth by connecting users with relevant content, such as products or training topics, that addresses current needs.
Today’s top learning platforms use AI tools to boost the effectiveness and accessibility of critical knowledge, allowing employees to work faster. For example, they can convert written training manuals into audio files, subdivide those files into categories that match learning goals, translate those files into a variety of languages and make them available in ways that integrate with employee workflows.
ChatGPT can contribute to these efforts by streamlining the process in which tribal knowledge is incorporated into training programs. The time needed to convert knowledge to training documents can often hamper efforts to keep internal training up to date. Generative AI dramatically streamlines the process, managing the task of transforming talking notes into training documentation.
With AI, learning can become an empowering part of the workday that is fine-tuned to address relevant needs instead of an interruption that rarely provides a return on investment. Unleashing AI in that way transforms organizations by keeping learning constantly in front of the workforce.
AI Can Drive Collaboration
AI adds value to organizational data by identifying patterns. When applied to the data workers are producing, it can identify patterns that drive higher levels of cross-organizational collaboration. By analyzing messages, notes, calendars and work output, AI can show where employee overlaps can be brought together to increase efficiency and innovation.
The Microsoft 365 Copilot ecosystem shows how this can work. Copilot can sift through data collected in Microsoft business apps, as well as a growing number of third-party apps, to identify content relative to ongoing projects. Imagine having an assistant sit in on every meeting in your organization to gather the information that can help you move your projects forward while you stay focused on the tasks at hand. Uncovering the content and connections that can empower impactful collaboration is just one thing AI tools like Copilot can do.
In an era of rapid business evolution and increasing uncertainty, businesses need strategies that allow them to stay ahead of the curve. Businesses that use AI to drive organizational transformation can navigate the future confidently. It empowers employees, aligns performance and builds skills in a way that allows smarter workplaces to emerge.
