Business Value Generation with Productivity Intelligence 

If you have read my blogs, you are likely to be familiar with the concept of Productivity Intelligence; It is using process insights to optimize operations and remove workflow friction for efficiency. Productivity Intelligence provides a data-driven approach to improving the bottom-line. Another of its benefits is that it empowers employees to focus on higher-value activities, e.g. dealing with more complex cases and building customer relationships. Subsequently, enterprises can become more innovative, accelerate revenue growth, and boost customer satisfaction. 

Productivity Intelligence provides real-time insights and analytics. Armed with the insights, team leaders and managers can make agile, informed decisions to proactively identify opportunities for automation, risk mitigation, optimized shift and workload allocation, software license consolidation and even infrastructure modernization e.g. where systems are very slow causing problems for employees.  

In this post, I discuss some of the fundamental value generation benefits of productivity intelligence. 

Find your Super Heroes and Best Practice 

Productivity Intelligence provides enterprises with insights into their three core dimensions: people, processes, and technology. The visibility enables organizations to identify and learn from their super heroes; the employees who have developed best practice in their areas of expertise. They can then train other employees in the best practice and raise quality standards across teams.  

Another benefit is that enterprises can identify inadequate tooling (software apps’ features and functionality) to provide employees with what they need to do their jobs. For example, if the insights show that employees prefer to use spreadsheets to store their process information rather than use the built in features of the business app that they are supposed to be using, then the business app should be improved. Customisation of the app or approved and standardised workarounds could help employees do their work within the business app and without having to resort to using spreadsheets.  

These types of insights enable the enterprise to provide training as well where it is needed, e.g. if there are already good features in the business app that the employees are unaware of. Training could increase both the adoption of the business app and best practice and help employees work smarter.  

Identifying High-Impact Automation Opportunities 

A key feature of KYP.ai’s Productivity Intelligence is its ability to identify opportunities that generate the biggest benefits when automated with generative AI solutions, such as Microsoft 365 Copilot or Google Gemini. The software analyzes process data, to find the workflows that are most suited to this and other types of automation and then makes recommendations.  Moreover, Productivity Intelligence can be used to monitor the results of the changes that are made to measure the Return on Investment (RoI) and to discover new opportunities for continuous improvement.  

One example of a successful use case of productivity Intelligence is that of a BPO that tapped into the technology to make the warranty services that it ran for an European appliance manufacturer 26% more efficient. The work had many teams engaged in processing written material involving reading descriptive text , validating information and checking the availability of parts. Productivity Intelligence pinpointed where in the process generative AI could be applied to help employees and speed up the processing. The result was partial automation of the warranty process using generative AI. The automation has increased the speed of processing and made it more cost-effective. Customers are receiving replacement parts faster and that has significantly improved the manufacturer’s Net Promoter Score. 

Driving Digital Transformation 

Productivity Intelligence goes beyond process automation because it identifies end-to-end workflows. accordingly, organisations can make decisions about transformation that target the areas with the most potential for value generation, for example, if a software application upgrade would reduce the number of steps needed to complete a process where demand is highest.  Besides, by tapping into process data, before and after changes, enterprises can empirically measure the results and go on to make further improvements. 

Enhancing Employee Well-Being and Flow 

Productivity Intelligence can be used to make work more engaging for employees too. Firstly, it can be used to streamline and augment employees with process optimisation and automation of repetitive tasks. Optimization reduces points of friction in processes, e.g. bottlenecks. With Productivity Insights, employers can improve the shift patterns for their teams and ensure that workloads are better balanced across team members and the working week. These changes combined with less friction in processes and employee augmentation with AI, help teams to work smarter, and reduce stress and burnout. Happier more engaged employees can achieve flow – that is when work has the right balance of being interesting, challenging and enjoyable. When employees get into a state of flow they get more out of their jobs and that in turn reduces staff attrition and creates a positive work environment that drives long-term success. 

Proactive Risk Management 

Productivity Intelligence can identify process flows that could be a risk to organisations such as process deviations that bypass regulatory requirements. By identifying the risks, enterprises can take pre-emptive action to eliminate them, e.g. retrain employees or make changes to the process that makes compliance easier.  

Speeding up Process Reviews  

Productivity Intelligence changes the approach to process reviews by automating the task of collecting process information. This is something that has been done manually for decades, involving process optimisation experts typically doing interviews with, or shadowing process experts to document workflows in order to review them. The effort typically involves many people working in teams that are rarely located in the same buildings let alone locations around the world. Manual effort means not only do you have to disrupt process experts’ work but take a lot of time to coordinate meetings across teams working in different time zones.  

Productivity Intelligence eliminates all this manual effort by automatically collecting the data and joining the dots to build virtual models of critical processes. The optimisation and process experts can then review them together, aided by the recommendations that the built-in AI in the Productivity Intelligence software makes e.g. what to automate. Accordingly, you can eliminate the need for the traditional Gemba walks of observing work operations and identifying areas for improvement.  

You can also automate the data collection aspects of Six Sigma initiatives, making it easier to achieve process excellence. 

Optimizing Infrastructure and Consolidating Software 

So far, I have covered the benefits that Productivity Intelligence can generate in terms of processes and the people in the organisation. The third dimension is technology that it can also help improve. The insights uncover inefficiencies in IT systems and computing resource utilization. For example, unloved and underused systems can be identified and their license worse to the organisation determined, leading to software use and license optimisations and consolidation. Team leaders can also document slow and problematic systems and infrastructure that lead to delays to build the business case for modernization.  

Enhancing Sustainability Through Process Efficiency 

Finally, increased efficiency is great for the environment; it reduces the length of time that employees use computers for every day. With streamlined workflows and faster throughput, the length of time that operations have to be up and running everyday can be cut as case backlogs get cleared and are consigned to history. Moreover, with data-driven insights organisations are empowered to link operational improvements to sustainability goals to achieve greener outcomes while driving down costs and generating other business values. 

The Bottom Line 

To summarize, Productivity Intelligence delivers business value in many ways including better workflows, higher levels of automation, improved employee experience, and lower software license costs. It can even act as a lever for sustainability goals. The end result is that it helps the corporate bottom line through efficiency and smarter working. As the saying goes; work smarter, not harder -thanks to Productivity Intelligence your organisation can do that with ease.  

Please contact us at to learn how Productivity Intelligence can help your organization generate value  and thrive in an ever-evolving business landscape.