Artificial Intelligence (AI) is improving our ability to manage change
The Piilo Group is currently looking at two areas:
1. The application of AI in change management
2. How we manage change when robotics and AI are introduced into organizations.
AI is unavoidable if you have a long-term business strategy to stay competitive and relevant in the market. However, executives are questioning how to apply AI to their current operating models. What are the potential change impacts? How do they manage the change without disrupting their business operations and revenue streams? What is the ROI of AI?
Change management refers to preparing, supporting, and enabling individuals, teams, and organizations to effectively transition from a current state to a desired future state. It involves a structured approach to managing the people side of change, including changes to business processes, systems, and technology, to achieve a desired outcome.
Here are five areas where AI will assist change management in future:
1. Comprehensive change impact analysis and data sets
Change managers will use AI and larger data sets to analyze change impacts. Data will include business analytics, employee data, market information, surveys and assessments. The scope of impact assessments can now be defined as broad or narrow as required and completed within the same timeframe. All are leading to more accurate recommendations and actions for improved business results.
2. Personalized communication and engagement
AI will help change managers deliver personalized communication to specific employee groups. AI will further provide real-time feedback from employee actions such as data input. This will drive required support, whether information, guidance or training, during the transition. Personalized communication will help build higher levels of employee engagement. In addition, it will improve the overall success of change initiatives by accelerating performance levels post-go-live.
3. Continuous workforce learning and development
Change managers and solution experts will apply AI to upskill employees. This will help with faster adoption of changes in technology or processes. We will use AI to train employees through simulations and on-the-job interventions. We will assess “real” competency levels based on accurate data. Employee data input and outcomes will be proactive drivers for development interventions. In essence, AI supports the concept of a continuous learning organization. Ensuring talent aligns with business strategies and demands.
4. Predictive analytics to mitigate risks and help decision making
5. Automating change delivery processes