Many organisations have already invested in AI tools. The challenge now is getting people to use them effectively.

Across industries, businesses are experimenting with generative AI, workflow automation, and AI-powered productivity tools. But while access to technology is growing quickly, consistent adoption across the workforce often lags behind.

Some employees embrace AI immediately. Others feel uncertain about accuracy, privacy, ethics, or how AI fits into their day-to-day role. In many organisations, AI usage becomes inconsistent, unstructured, and difficult to govern.

This creates a growing gap between AI investment and actual operational impact.

That’s where AI champions are becoming increasingly valuable.

Rather than focusing purely on technology, AI champions help bridge the gap between AI tools and practical business use. They support colleagues, improve confidence, encourage responsible usage, and help organisations embed AI into everyday workflows in a way that is productive, scalable, and commercially effective.

As businesses move beyond experimentation, developing internal AI champions is becoming an important part of long-term workforce transformation.

Why businesses struggle with AI adoption

For many organisations, the biggest challenge with AI is no longer access to tools. It’s adoption.

While employees may already be experimenting with AI individually, this often happens inconsistently across teams and without clear guidance or governance.

A number of common barriers can slow organisation-wide adoption, including:

• low employee confidence using AI tools
• uncertainty around accuracy and reliability
• concerns about privacy, ethics, and responsible usage
• inconsistent understanding of best practice
• lack of practical guidance for day-to-day implementation
• fear around automation and changing job roles
• difficulty identifying meaningful business use cases

There is also the growing issue of “Shadow AI” — where employees use unauthorised AI tools without organisational oversight or governance.

Without clear frameworks and workforce education, this can create risks around data security, compliance, and inconsistent outputs.

As a result, many organisations remain stuck in experimentation mode. Employees may be testing AI tools, but adoption remains fragmented and disconnected from wider business processes.

Successful AI transformation requires more than access to technology. It requires people inside the organisation who can help others use AI confidently, responsibly, and effectively.

How AI champions improve workforce confidence

One of the most important roles AI champions play is improving workforce confidence.

For many employees, AI still feels unfamiliar or intimidating. Some worry about making mistakes, sharing sensitive information, or relying too heavily on AI-generated outputs. Others simply don’t know where to start.

AI champions help remove these barriers by acting as trusted internal guides.

They support colleagues in understanding how AI tools can be used responsibly within the organisation, while also encouraging practical and realistic adoption.

This may include helping teams to:

• understand appropriate AI usage
• improve prompting and workflow practices
• navigate privacy and governance concerns
• identify reliable outputs and fact-check information
• use AI tools more efficiently and confidently
• develop stronger AI literacy across the workforce

Importantly, AI champions help make AI adoption feel more accessible and less technical.

Rather than positioning AI as something only specialists can use, they help employees understand how AI can support everyday tasks, improve productivity, and reduce repetitive work.

This confidence-building role is becoming increasingly important as organisations look to scale AI adoption more responsibly.

How AI champions support organisation-wide AI adoption

AI adoption becomes far more effective when it moves beyond isolated experimentation and becomes part of everyday working practices.

AI champions help organisations make this shift.

Because they understand both the organisation and the practical realities of day-to-day work, they are often well placed to identify opportunities where AI can genuinely improve workflows and processes.

This can include:

• identifying practical use cases across departments
• embedding AI into existing workflows
• supporting collaboration between teams
• encouraging consistent best practice
• improving communication around AI initiatives
• helping employees adapt to new ways of working

In many organisations, AI champions also help drive wider cultural change.

Successful AI adoption is rarely just about implementing new tools. It often requires organisations to rethink processes, encourage experimentation, and build trust around new technologies.

Internal champions can play a valuable role in creating momentum and encouraging more consistent adoption across the workforce.

Over time, this helps businesses move from isolated AI usage towards more scalable and sustainable implementation.

How AI champions improve productivity and operational efficiency

AI champions don’t just improve confidence and adoption. They also help organisations unlock practical productivity gains.

When employees understand how to use AI tools effectively, they are often able to complete tasks more efficiently, reduce repetitive manual work, and access information more quickly.

AI champions help support this by encouraging smarter, more structured use of AI across the organisation.

This may include helping teams:

• automate repetitive administrative tasks
• improve workflow efficiency
• summarise and analyse information more quickly
• enhance research and reporting processes
• streamline communication and content creation
• improve access to organisational knowledge and insights

Importantly, AI champions also help organisations focus on practical business value rather than adopting AI simply for the sake of it.

By identifying realistic use cases and supporting responsible implementation, they help businesses connect AI adoption to measurable operational improvements.

As AI tools become more embedded within everyday work, this practical support can have a significant impact on productivity across teams and departments.

Why businesses are developing AI champions internally

Many organisations are now recognising that long-term AI transformation depends heavily on internal capability.

While external consultants and technology providers can support implementation, sustainable adoption often works best when organisations develop employees who already understand the business, its culture, and its operational challenges.

This is one reason why AI-focused apprenticeships are becoming increasingly attractive.

Programmes such as the AI Champion apprenticeship programme help organisations develop employees who can support AI confidence, adoption, and responsible usage from within.

By combining structured learning with practical workplace application, apprenticeships help businesses:

• improve AI literacy across teams
• build internal champions for AI adoption
• strengthen governance and responsible AI usage
• support long-term workforce transformation
• reduce reliance on external recruitment or consultants
• develop sustainable internal AI capability

Because learners apply their skills directly within the workplace, organisations can often begin seeing operational benefits while capability is still being developed.

For businesses looking to scale AI adoption successfully, building internal champions can create a much stronger foundation for long-term transformation.

Building workforce confidence for successful AI transformation

Successful AI transformation is about far more than simply introducing new tools.

Organisations also need employees who can support adoption, build confidence, encourage responsible usage, and help AI become part of everyday business operations.

AI champions play a valuable role in helping businesses bridge the gap between technology and practical implementation.

By improving AI confidence, supporting workforce adoption, and encouraging smarter ways of working, they help organisations unlock greater value from their AI investment while creating a stronger foundation for long-term operational change.

If your organisation is looking to build practical AI capability internally, explore Kaplan’s AI apprenticeship programmes to discover how structured workforce development can support responsible and effective AI adoption.