2 Before implementing GenAI tools
Before trialling, using, or adopting, any GenAI tools, it is important to develop an understanding of what GenAI is, and how it works. It is then equally important to develop an appreciation of how GenAI could assist you and your organisation, and add value (Thomson Reuters, 2024). The understanding of how GenAI can be of benefit is essential before implementing these tools into your workflows, tasks, and processes.
GenAI tools can be helpful in automating repetitive tasks or enhancing customer service. They can also – subject to a number of caveats – be helpful in generating content, though this can be fraught with dangers that include inaccuracies, hallucinations, and false information.
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Some of the most common examples of GenAI tools being used in organisations are to help with the most repetitive tasks.
This can include things such as automated meeting notes, or more complex tasks such as creating visual content. It can also assist with other aspects such as analysing data to determine trends. Not all of the potential uses will be suited to every organisation. It is important for each organisation and industry to determine what is most suitable for their particular needs (Calls9, 2025).
It is also important to remember that determining if and when GenAI tools should be used is a process in itself. Simply because GenAI can be used, it does not necessarily mean that this is the correct or desirable choice.
An assessment of which employees should be permitted or motivated to use GenAI is just one of the considerations an organisation needs to make (Practical Law, 2024). This assessment should be made before, during, and after using GenAI tools.
There are lots of things to think about before using GenAI. We explore some of the risks and challenges of GenAI tools in the sixth course, Navigating risk management. These include data protection, security, privacy concerns, intellectual property ownership, accuracy and reliability of GenAI outputs, consent to use and share data, and potential GenAI biases (Brown and Jones, 2021).
A huge amount of data is required to operate GenAI tools. This necessitates robust, specific, and reliable security measures to protect any misuse of data, or data breaches. This is particularly important for using GenAI tools because of the potential for algorithmic biases to manifest when using data for training GenAI tools.
Wherever there may be biases within the training data, GenAI models and tools are likely to replicate these in the outputs. This includes the replication of historical, cultural, and social factors that lead to bias and/or prejudice. It is important to be aware of the potential for these to be replicated in any GenAI outputs.
Planning to make GenAI tools available
As a leader, you are planning to make GenAI tools available to your team next week.
Think about the following two questions:
- What is one thing it could radically improve in your organisation and its work?
- What is one thing that could go wrong if used carelessly?
Now identify:
- One potential use of GenAI in your area.
- One potential risk of using GenAI.
Make a note of the potential use and potential risk that you have identified in the box below.
Discussion
There are a number of real-world examples that you may have identified as offering potential uses. These may include for example, social media content creation, scheduling, HR processes, or data analysis. Wherever there are potential opportunities for using GenAI, you should be able to identify the potential pitfalls. These can include data breaches, misuse of personal data, lack of data security, replication of biases, or even a lack of human oversight.
Session 1: Regulating and implementing – 30 minutes
