Managers use AI in many areas, including improving relationships with the employees and customers and finding patterns to enable the performance of repetitive tasks, among others. These are significantly beneficial to a majority of managers. As a manager, the key is to implement AI in different areas, scaling your skills and embracing it for individual and organizational success.

AI for data-driven management

Unlike humans, AI can grasp numbers, identify patterns, and make quick and informed decisions. With AI’s ability to process massive amounts of data, reveal trends, and give actionable insights, its application for quantitative support in decision-making is crucial for any manager. In the future, companies will lay off their staff in areas such as money management, where robo-advisors will be taking over areas that human fund managers currently occupy.

While this may sound like bad news, it is not the case for individuals who can see the future from a distance. If you can smell opportunity from afar, you can scale their skills to take advantage of rich and fast data from various sources. This is the case, especially if you spend most of your time gathering, presenting, compiling, and reporting data for your operations to identify issues and the status of your business. By learning how to use AI and embracing it to offer advice, you can improve your career and value to the organization and perhaps see increased salary.

Getting the right results by setting better OKR’s

Setting the objectives and key results (OKRs) is a straightforward process meant to create clarity and align measurable goals of an organization. AI has proven to be a valuable asset in setting and achieving better results. By learning from the target results and relationships between the objectives, management behaviours and patterns of engagement, AI allows teams to set OKRs that can change the direction and position of an organization for the better. WoBot, for example, guides teams to the attainment of OKR and results proactively.

Routing management with AI

Most tasks performed by a manager daily are administrative tasks that are routine and do not stretch the manager’s skill set. According to a report by Harvard Business Review, managers take 54% of their time on administrative tasks. Regardless of whether the data is correct or otherwise, most of the tasks of such a nature do not invigorate managers; hence it is a good fit for AI. Applying AI to routine management work gives managers the capacity to focus their minds on high-value and stimulating activities. For example, artificial intelligence and machine learning may be used to alert managers when a specific roadblock is met and how to address such risks. It can also be used to set up meetings and include alerting certain individuals when issues arise. Furthermore, tasks such as preparing the right agenda, following through on actions taken can be done by AI. This is a good thing for managers who spend most of their time setting up meetings, keeping diaries and trying their best to remember certain critical tasks that they need to undertake.