AI Change Management: How It Works

AI Change Management: How It Works
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How will AI change management tools change the profession?

In this article, we’ll look at AI change management trends, tools, and techniques.

Namely, we’ll explore how it’s being applied today, tips for taking advantage of AI, and upcoming developments.

First, though, let’s start with a quick introduction to AI in business.

An Introduction to AI in Business

AI is still a misunderstood term.

This is to be expected for a few reasons:

  • AI is surrounded by hype and even false advertising. One study found that nearly half of European startups that claim to use AI actually don’t use AI at all.
  • People tend to anthropomorphize AI, which makes it impossible to understand AI objectively and understand how it works.
  • Businesses often don’t understand what AI is, how it works, or how it can be applied to their business.

Here are a few quick definitions to help clear up those problems:

  • 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.
  • Deep learning is a subset of machine learning, which uses massive artificial neural networks to accomplish a similar task – deep learning requires much more data and computational power than machine learning.

Today, almost all AI is either machine learning or deep learning.

In business, these techniques are used in applications such as:

  • Recommendation Engines – Applications that use, for instance, browsing history to recommend products, web content, or search suggestions.
  • Image or Voice Recognition – AI is used in voice recognition software, such as Siri or Google’s voice recognition technology.
  • Natural Language Processing – AI can also be used to understand how people feel about a topic by analyzing and scoring the emotional content of text.

These are just a few of the major ways that AI is being applied in business.

Now, let’s see how these same AI techniques can improve change management projects.

AI Change Management: Tools and Techniques

Here are some of the ways that AI is being applied in change management:

Data Analysis

Predictive modeling uses existing data to predict potential outcomes for a project.

Here are a few ways to use AI and data in change management:

  • Analyzing and predicting project outcomes based on business intelligence and competitive intelligence
  • Predicting the potential synergy of team members
  • Analyzing and discovering patterns within change management metrics
  • Recognizing and identifying sentiment within social media or web data

Techniques and approaches such as these will help change managers better understand their projects, make better predictions, and produce better results.

Digital Adoption Platforms, Training, and Onboarding

For change projects that involve the adoption of new technology, user engagement can be a challenge.

And in today’s fast-paced, technology-driven workplace, lower worker engagement means lower productivity.

Digital adoption platforms are applications that boost those metrics during employee training and onboarding.

In large enterprises, this process can be extremely costly – which is why digital adoption platforms have exploded in popularity.

WalkMe’s digital adoption platform, for instance, uses real-time data and predictive analytics to:

  • Understand user behavior
  • Predict their next actions
  • Improve engagement, adoption, and productivity

This type of AI-fueled application greatly improves ROI for businesses that want to train new users … whether those users are customers or employees.

Project Management

A much-cited statistic claims that project managers spend 54% of their time on mundane administrative tasks.

AI is set to change all that, by:

Automating many of those mundane administrative tasks

  • Discovering insights and performing automated actions based on those insights
  • Acting as a “smart assistant” that keeps you updated with the most important project information
  • Performing the same data analysis functions mentioned above – such as prediction and sentiment analysis

These are just a few examples of how AI can improve project management workflows and outcomes.

Conclusion

AI and automation can deliver significant benefits to an organization’s bottom line.

Though some fear the rise of AI, the fact is that AI will change the way we work.

The best thing for change managers to do is to understand AI and learn how to use it.

Only then can they get the benefits that AI creates – in the case of change management, these include:

Among other things.

We are just at the start of the AI revolution, but businesses are already starting to see huge returns on investment.

In the coming years, change management AI will only become more robust, powerful, and profitable.

Chris is the Lead Author & Editor of Change Blog. Chris established the Change blog to create a source for news and discussion about some of the issues, challenges, news, and ideas relating to Change Management.