AI in the real world: Truis’ advice on what matters for Australian workplace 

AI continues to dominate technology conversations, vendor announcements and product launches. For many Australian organisations, however, the volume of messaging is starting to feel overwhelming. 

At Truis, we are seeing growing interest in AI, but we are also seeing a lot of uncertainty. Many customers are still working out what AI actually means for their people, their processes and their day-to-day operations. 

Rather than positioning AI as something organisations must urgently 'get right', our role is increasingly about helping customers step back and ask a more realistic question: 

What is genuinely useful right now and what can wait? 

What we’re hearing from customers 

In conversations with Australian organisations, the same themes come up regularly. 

People are curious about AI, but they are also: 

• Unsure how it fits into existing roles. 

• Concerned about introducing new tools without clear purpose.
  

• Cautious about creating more change for already busy teams.

Many employees are already stretched, and introducing AI without a clear use case can feel like just another platform to learn, manage and support. 

From a Truis perspective, this is an important signal. The challenge is not access to technology, it is clarity. 

Where AI is making the most sense today 

From what we are currently observing across customer environments, the most practical use of AI today tends to be small, supportive and focused on everyday work. 

Examples include:

• Helping teams summarise information more quickly.
  
  
• Supporting meeting notes and follow-ups.
  
  
• Assisting with basic content drafting and research.
  
  
• Improving search and information discovery.  

These use cases don’t require major process change or complex projects. They simply aim to reduce friction in daily work. 

In our experience, this is where organisations are seeing the least resistance and the most immediate value. 

What may not need to be a priority yet 

There is a lot of marketing around large-scale automation and transformational AI programs. 

For many Australian organisations, particularly in mid-market environments, these initiatives may not be realistic or necessary in the short term. 

Based on what we are currently seeing, areas that often generate more noise than value include: 

• Broad AI programs without a defined business problem.
  
  
• Attempts to replace human judgement with automated decision-making. 
  
  
• Complex custom AI solutions before basic productivity use cases are established. 

This does not mean these technologies will never be relevant. It simply reflects that timing matters.  

A more measured way to think about AI 

At Truis, we are encouraging customers to take a planned and practical approach. 

This typically involves:  

• Identifying one or two simple, low-risk use cases. 
  
  
• Testing how teams actually use the tools in real workflows.
  
  
• Gathering feedback before expanding access.
  
  
• Keeping governance and security front of mind.

This approach allows organisations to build understanding and confidence gradually, rather than committing to large programs early.

The role of devices and platforms 

Even with a cautious approach, organisations still need a modern and secure device environment to support emerging AI features in everyday applications. 

Most AI use today is delivered through existing workplace platforms and tools, rather than standalone solutions. Ensuring devices remain current, secure and capable of supporting these features is an important foundation, even while broader AI strategies are still being formed. 

Truis supports customers by helping assess whether their current workplace environment is ready to adopt new features as they emerge, without pushing organisations into accelerated refresh cycles. 

A realistic outlook

AI will continue to evolve quickly. What feels experimental today may become standard in a relatively short period of time.

For now, however, most Australian organisations are still in an observation and learning phase — and that is entirely reasonable. 

At Truis, our role is not to lead customers into AI programs before they are ready. It is to help interpret what is changing, highlight where early value is appearing, and support customers as they decide what makes sense for their own environment. 

If you would like to talk through how AI features may begin to affect your workplace tools and devices over time, Truis is always happy to share what we are seeing across the local market.