From tool to coworker: what true agentic AI means for your organisation

by Neil Gladstone - Data & AI Practice Director
| minute read

In Summary 

  • AI is shifting from tool to coworker, capable of making decisions and acting independently. 
  • Agentic AI goes beyond GenAI, taking initiative without human prompts. 
  • The real challenge is mindset, not tech — organisations must treat AI like a supervised team member. 
  • Those who adapt with strong oversight will thrive in the era of human-AI collaboration.

For decades, Artificial Intelligence (AI) has been regarded as a tool – an advanced, powerful tool, but a tool nonetheless. It has been designed to assist, automate, and optimise, making human lives easier and businesses more efficient. It’s only been a few years since Generative AI (GenAI) sparked excitement (and anxiety) across industries. However, we are now on the precipice of another transformative shift. AI is evolving beyond passive assistance into an active, decision-making entity: an agentic coworker. 

This shift challenges not just our technology but our mindset. How do we redefine the role of AI in our organisations and daily lives? What does it mean to collaborate with AI rather than simply use it? And how do we prepare for the profound changes this brings? 

The evolution of AI: from automation to agent 

Most AI systems today function as sophisticated assistants. They provide recommendations, execute predefined tasks, and enhance productivity. However, true agentic AI possesses the ability to: 

  • Set its own goals within a given framework. 
  • Learn and adapt beyond its initial programming. 
  • Take initiative without human prompting. 
  • Collaborate dynamically with humans. 
  • Make decisions and actions on your behalf. 

 

While GenAI creates outputs based on user prompts, agentic AI performs autonmous tasks. For example, GenAI can write an email, draw a picture, or summarise information. By contrast, agentic AI will be able to find, book and pay for a flight on your behalf. 

This marks a fundamental departure from traditional AI models. Instead of being reactive, agentic AI is proactive. Instead of requiring constant human oversight, it becomes a trusted collaborator. 

The mindset shift: trusting AI as a coworker 

Although the technology is very new, and in some areas immature, the biggest challenge in adopting agentic AI is not technological – it’s psychological, cultural, ethical and environmental. For years, we’ve been conditioned to see AI as a tool that obeys commands rather than an entity that participates in decision-making. But how can we trust it, when we know that, as powerful as it is, it isn’t always accurate? It all comes down to having the right human oversight. 

Checks and balances 

Humans interacting with the agentic AI solutions will need to adopt more of a supervisor relationship, checking on outcomes and metrics achieved by the system, as well as reviewing the methods adopted to achieve these outcomes. A similar approach to what they would take with employees. Feedback can then be provided to the AI systems to improve based on this feedback to ensure it operates within the same boundaries as a human that has common sense and a sense of morality. This is also critically important to ensure an ethical and responsible approach is always taken. 

For Example, within our own organisation we have implemented an AI governance board – to ensure that proposed AI use cases are given the right consideration by those with the right expertise, from data protection, legal, risk and ethical standpoints. 

Conclusion 

True agentic AI is no longer a distant vision – it’s emerging now. As AI transitions from tool to coworker, our mindset must evolve accordingly. The organisations and individuals that embrace this shift with open minds and adaptive human oversight strategies will be best positioned to thrive in the era of collaborative intelligence. 

Want to know more about where intelligent digital assistants, AI Agents and Agentic AI solutions could fit into your organisation? Learn more here

In our next post later this month we’ll look at how you can get your organisation ready for agentic AI.  

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