Can AI reduce the same policy questions every week?
AI reduces repetitive policy questions by providing instant access to organisational policies and procedures, allowing employees to quickly find the information they need, and freeing up HR teams to focus on more strategic tasks, such as training and development, rather than answering the same questions repeatedly.
Every week, the human resources team sits through meetings where the same policy questions are asked, taking up valuable time and resources. This is a common problem in many organisations, and one that AI can potentially help with, but only if the right data is in place.
What has to be in the data for this to be possible
To reduce the same policy questions every week, the organisation's data needs to include a comprehensive policy library, headcount, and skills information. This data should be up-to-date, accurate, and easily accessible. For instance, a shift supervisor checks the maintenance log to ensure that all employees have the necessary training and certifications to perform their tasks. If this data is not available, AI will not be able to provide the necessary insights to reduce policy questions.
A policy library is essential because it provides a central repository of all organisational policies, making it easier for employees to find the information they need. Headcount and skills information are also crucial, as they help identify areas where employees may require additional training or support. By having this data in place, organisations can ensure that their AI system has the necessary information to provide accurate and relevant answers to policy questions.
The mechanism, stated plainly
The mechanism by which AI can reduce the same policy questions every week is straightforward. The AI system, such as AsscherAi, is trained on the organisation's data, including the policy library, headcount, and skills information. When an employee asks a policy question, the AI system uses this training data to provide a relevant and accurate answer. This answer can be provided in real-time, reducing the need for employees to ask the same questions repeatedly.
For example, the category manager compares two suppliers and needs to know the organisation's policy on procurement. The AI system can provide the relevant policy information, saving the category manager time and effort. This process can be repeated for various policy questions, reducing the overall volume of questions and freeing up resources for more strategic tasks.
What it will not fix
While AI can help reduce the same policy questions every week, it is not a silver bullet. It will not fix underlying issues with the organisation's policies or procedures. If the policies are unclear or outdated, AI will simply provide answers based on the existing information, which may not be accurate or relevant. Most people think that AI can somehow magically fix these underlying issues, but they are wrong.
Organisations need to ensure that their policies are up-to-date, clear, and well-communicated to employees. This requires a separate effort to review and update policies, as well as provide training and support to employees. AI can only provide answers based on the data it has been trained on, so if the data is incomplete or inaccurate, the answers will be too.
How you would know it worked: repeat question volume
To determine whether AI has been successful in reducing the same policy questions every week, organisations can track the volume of repeat questions. If the AI system is providing accurate and relevant answers, the number of repeat questions should decrease over time. This can be measured by tracking the number of questions asked through the AI system, such as AsscherAi, and comparing it to the number of questions asked previously.
By tracking this metric, organisations can see the impact of AI on reducing policy questions and make adjustments as needed. For instance, if the volume of repeat questions is not decreasing, it may indicate that the AI system needs additional training data or that the policies need to be updated. You can visit our human resource page to learn more about how AI can support your HR team.
When it is the wrong choice
AI is not the right solution for every organisation, particularly those with very simple or very complex policy questions. In some cases, it may be more effective to provide employees with direct access to policy information or to use other knowledge management tools. Additionally, organisations with limited data or resources may find it challenging to implement an AI system, making it the wrong choice.
Before implementing an AI system, organisations should carefully consider their specific needs and challenges. If you are unsure whether AI is the right choice for your organisation, you can contact us to discuss your options and determine the best approach for your business.
Frequently asked questions
How can AI help reduce repetitive policy questions in my organisation?
AI can help by providing instant access to organisational policies and procedures, allowing employees to quickly find the information they need.
What data is required for AI to reduce policy questions effectively?
The organisation's data needs to include a comprehensive policy library, headcount, and skills information, which should be up-to-date, accurate, and easily accessible.
Can AI fix underlying issues with our organisation's policies or procedures?
No, AI will not fix underlying issues with policies or procedures, it will only provide answers based on the existing information, so organisations need to ensure their policies are up-to-date and clear.
How can we measure the success of AI in reducing policy questions?
Organisations can track the volume of repeat questions and compare it to the number of questions asked previously to determine the impact of AI on reducing policy questions.