As organisations get swept up by the hype of AI-powered tools such as the Microsoft Copilot family or Amazon Q, it becomes increasingly important to check that the roll out of these tools live up to the marketing-induced expectations.  

Tracking successful AI implementation and integration not only ensures its responsible and effective use but justifies investments and ongoing support. By defining clear goals, measuring performance, and continuously reviewing outcomes, organisations can optimise the value these AI tools produce. 

Once you have identified an opportunity to use an AI tool in your organisation, you will want to quantify your return on investment through evaluating the potential value it can bring. This assessment ensures that your AI initiative aligns with your strategic goals and can deliver measurable benefits. Here are five essential steps to effectively track successful AI use: 

1. Outline your main objective 

The first step is to clearly outline the purpose of rolling out a tool and define what success looks like. Clarifying your main objective is crucial: is it to reduce the time spent on analysis, improve the quality of outputs, enhance team-wide consistency, or eliminate repetitive tasks?  

2. Identify KPIs

Once success is defined, the next step is to identify KPIs that will track progress. Some KPIs to consider include: 

  • To reduce time, measure task completion speed.  
  • To improve quality, focus on accuracy and error rates.  
  • For consistency, monitor process adherence.  
  • To eliminate repetitive tasks, emphasise automation and manual effort reduction. 

Additionally, consider whether you have the necessary data available and if your processes will be automated or manual. Will your measures be purely quantitative, or will you incorporate qualitative metrics that provide a more detailed perspective? Taking these factors into account will help you create a comprehensive and effective strategy for achieving your goals. 

3. Baseline performance

Prior to the roll out of your AI tools and before tracking progress, it's vital to establish a baseline. Assess current performance metrics related to your KPIs — such as average analysis time, accuracy levels, or the degree of task automation. This initial data serves as a reference point, helping you measure improvements and determine the effectiveness of changes over time. This phase also enables the establishment of the monitoring routine required to successfully measure improvements over time.  

4. Monitor

Once baseline metrics are set, continuously track your KPIs to measure progress. Regular monitoring allows you to identify trends, address issues early, and adjust strategies as needed. Whether it's improving analysis time, enhancing output quality, or increasing automation, consistent oversight ensures you're on track to meet your objectives. 

5. Review and iterate

Regularly review performance data to evaluate the effectiveness of your efforts. If the KPIs indicate progress, reinforce successful strategies. If not, refine your approach, adjusting tactics to better align with your goals. This ongoing cycle of reviewing and iterating ensures continuous improvement and adaptability as needs evolve. 

Tracking AI roll-out success can significantly enhance your organisation’s efficiency and decision-making.  

By closely monitoring AI performance, you can ensure that it meets desired objectives. With clear performance indicators, you can identify areas for improvement, spot trends, and swiftly adapt strategies to maximise AI’s value. 

This data-driven approach fosters transparency, aligns AI outcomes with business goals. 

Ready to maximise the benefits of AI while ensuring ethical and sustainable practices?  

BJSS specialises in helping organisations navigate the complexities of AI integration, from developing robust governance frameworks to fostering responsible AI innovation. Our expert team will guide you through every step of your AI journey, ensuring alignment with your business objectives.

Find out more in the white paper Enabling your organisation to evolve with AI.