How machine learning may be the best tool to help your organization with change management


Successfully implementing change is critical to ensuring business success. Organizations that do so more rapidly and with minimal disruption will have an advantage over their competition.

As such, it is not surprising that change management leaders are discovering the value of AI and machine learning solutions to identify and support change through data-driven insights. These decision engines are rapidly becoming key tools for guiding change strategy, easing implementation and transitions, as well as increasing employee acceptance.

It is often said that the only constant in life is change. But how organizations address and deliver on change varies widely, often with unintended outcomes. The good news is that machine learning technologies can increase change success substantially through a variety of approaches, whether at the front end of a process (e.g., problem identification/prevention), the middle (e.g., identify efficiencies), or the back end (e.g., validating improvements), all with a focus on employee satisfaction and success.

Artificial intelligence is computation that can interpret, learn from, and use its learning to accomplish specific goals.

Machine learning is an AI approach that parses data, learns from it, and makes determinations or predictions about something.

Source: WalkMe


Problem Prevention

Change managers best laid plans can easily be derailed by unforeseen issues in deployment and adoption. Machine learning solutions can improve risk identification, risk mitigation, and predict failure probability through rapid analysis of a multitude of data to recognize patterns that human analysis alone cannot. This allows change managers to identify risk factors associated with potential problems and take corrective action.

For instance, firms may easily gather and process data from the whole supply chain using machine learning-powered demand forecasting, which lowers costs and boosts productivity. From a steady stream of supply and demand data, organizations can derive valuable insights and respond to changes as necessary. The result is stronger strategy and more rapid change implementation.



Supporting Employee Support

Employees are central to organizational change and their support is critical. AI and machine learning further enable businesses to deliver training programs tailored to the specific needs and abilities of employees. This can be accomplished by offering training to help employees understand changes in process. Machine learning enhances training, for instance, via AI Chatbots that allow organizations to both offer guidance and collect feedback throughout the change process. Through Bot analytics organizations can determine where employees truly require assistance and design more effective training programs. These analytics can also be used by businesses to create more micro-training options in the chatbot for specific queries.


Buying In Starts with a Roadmap

Machine learning models can also more rapidly identify opportunities for process or human-led improvements. Leveraging insights based on historical inputs and outcomes, the power of AI and machine learning can point to days or moments in which a particular event was executed optimally. At that point, there becomes a clearer pathway for re-creating that “best result” every single time. This can have significant benefits in the many industries that rely on an ongoing combination of technology guided by human decision-making, such as manufacturing, mining, oil & gas, transportation, marketing, healthcare, and more. Backed by machine learning evidence, change management can be owned and led by process owners or plant operators who champion improved outcomes and even direct bottom-line benefits.


Getting Started with Machine Learning Integration

Lityx and our automated machine learning platform make integrating AI into your change management efforts more efficient. Intuitive and easy-to-integrate, LityxIQ complement your technology stack and adds the predictive analytics power need to make change happen.

Our team is ready to connect and talk about your goals.

Change Management: systematic approach to dealing with the transition or transformation of an organization’s goals, processes, or technologies. The purpose of change management is to implement strategies for effecting change, controlling change, and helping people to adapt to change.