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PREDICT AND PREVENT RESISTANCE TO CHANGE? AI ALS TOOL FOR CHANGE AND PROJECT MANAGEMENT
The advance of AI in both change and project management is in full swing. In the market, we see your e.g. AI-tooling arise in which predictive analysis identifies potential resistance and project risks before they occur. In this article the method of working then with now compared and zoomed in On various tools that the Making project and change management easier.
How did it go before? - Change management as underscored baby
Traditionally, change and project management has been time-consuming. Keeping track of risk, action and decision lists, reporting progress and managing deliverables required a lot of human effort. The time-consuming nature of the various processes left little time to also connect with stakeholders. Change management, where connecting is a big part, was pushed into the background and less attention was paid to stakeholder engagement.
As a result, identifying stakeholder resistance was regularly seen as less important than overall project progress. As a result, reactive action was often taken and it was often too late by then. Change management was seen as a nice-to-have rather than a must-have.
How is it going now? - A 'must-have' for successful change
Nowadays, the emphasis is increasingly on the change component. It is a must to include stakeholders and create support so that the change is successful. If a project does not pay enough attention to this, it is more likely that a change will fail.
AI can automate routine tasks, optimise communication, speed up problem solving, increase stakeholder engagement and drive innovation. AI is not only a tool to support change and project management, but also offers the chance to speed up routine tasks. This also directly creates more space for change management.
Currently, AI is already being deployed in several places. For example, Co-Pilot can take MS Teams calls and identify actions. In addition, it provides assistance in writing communication messages for different stakeholder groups or creating training sessions. These applications make change and project processes more efficient and effective, allowing organisations to respond to changes and project challenges earlier and better.
Real-time data, insights and analyses are important for decision-making within project and change management. Here, advanced dashboards can provide up-to-date insights into, for example, costs, resources and schedules. Access to real-time data enables timely, informed decisions, leading to higher accuracy and fewer errors. By using real-time decision-making, organisations can increase their competitive advantage, improve efficiency and achieve better results in their strategy realisation. AI can identify processes that need changes by analysing huge amounts of data and recognising patterns and trends. With the use of AI in projects and portfolios, the next step, predictive decision making, is just a small step away.
How can it be used in the future?
In the future, more and more tools will become available, such as Predictive Analytics Tools, which can predict when and among which stakeholders potential resistance or project risks will occur. These tools can help organisations respond proactively to potential obstacles and adapt their change and project management strategies accordingly.
This will lead to a more effective and smooth implementation of changes and projects. AI-driven decision-making provides relevant data and insights to better inform decisions. The impact of AI on the profession is starting to become clearer; having call reports and action lists generated by an AI–assistant is thus just the beginning. Recently was AI, for example, applied in changemanagement, identifying potential resistance through predictive analytics, vórthat occurred. The appropriate intervention was then also designed using AI.
Examples of AI tools:
Herewith some inspiration for AI tools that can help with change and project management:
Talla
Talla is an AI-driven platform that facilitates communication and collaboration during change and project processes. It provides real-time information exchange, automated responses and intelligent knowledge management to keep teams aligned.
ThoughtSpot
ThoughtSpot Is an AI-driven analytics platform that helps change and project managers extract insights from data. It uses a search-driven approach to easily explore and visualise data for informed decision-making.
ChangePlan:
ChangePlan is a digital platform used to analyse, manage, track and report on change and project initiatives. It provides valuable insights into the effectiveness of these initiatives and helps identify potential resistance and risks.
Predictive Analytics Tools
These tools use predictive analytics to generate early warnings during change and project processes. By aggregating historical and real-time data analysis, AI-driven predictive models help organisations anticipate problems and obstacles before they occur.
Improven and AI binnen change and project management
AI plays a major role in both change management and project management. Within consultancy, developments in this field are closely monitored. Nevertheless, human action remains crucial and connection is paramount.
Consultants Sanne Sattler and Maud Bruijs are happy to spar with you about your change and project management initiatives.
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