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Business excellence for decision-makers & managers by and with Sanjay Sauldie

KIROI - Artificial Intelligence Return on Invest: The AI strategy for decision-makers and managers

KIROI - Artificial Intelligence Return on Invest: The AI strategy for decision-makers and managers

Start » KIROI Knowledge Booster: How Leaders Make Know-how Scalable
22 March 2026

KIROI Knowledge Booster: How Leaders Make Know-how Scalable

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Imagine if all of your most experienced leaders' expert knowledge was available on demand and could be disseminated to hundreds of employees within minutes, without those leaders having to attend a single additional meeting. The KIROI Knowledge Booster makes exactly that possible and changes the way companies can preserve, structure and multiply their most valuable asset – the implicit knowledge of their leaders. In a rapidly changing economic world, where skills shortages and demographic change are making traditional knowledge transfer methods increasingly obsolete, organisations need innovative approaches to avoid losing decades of accumulated expertise with every departing expert.

The Challenge of Scalable Knowledge Transfer in Modern Organisations

Managers in medium-sized companies and large corporations are currently facing a paradoxical dilemma. On the one hand, they possess invaluable experience and knowledge, but on the other hand, they simply lack the time to pass this knowledge on to all relevant individuals within the company. A production manager with thirty years of industry experience cannot possibly coach every new team leader personally. A sales director with a deep understanding of customers cannot be present at every critical customer meeting. This is precisely where intelligent technology comes in, opening up entirely new possibilities.

Traditional methods such as manuals, training videos, or in-person training quickly reach their limits. Manuals become outdated even during their creation. Training videos do not answer individual questions. In-person training is time-consuming and only reaches a few participants at a time. The KIROI Knowledge Booster offers a dynamic approach that combines the best of human expertise and technological scalability, thus enabling a completely new dimension of knowledge management.

Why classic knowledge bases fail

Many companies have already invested considerable sums in wiki systems and knowledge management platforms. The results are often sobering. Employees rarely use these systems because searching is arduous. The content is static and doesn't fit the specific question. Furthermore, the contextual link that an experienced mentor would offer is missing. A sales representative facing a difficult price negotiation doesn't need general guidance on negotiation. They need specific advice that fits the industry, customer type, and current market situation [1].

This problem is particularly evident in manufacturing companies. A machine operator who receives an unusual error message might find twenty pages in the manual covering possible causes. However, what they really need is the assessment of an experienced colleague. This colleague would immediately recognise which three causes are most likely on this specific production line. It is precisely this kind of contextualised knowledge gained from experience that can be systematically captured and made available today.

Best practice with a KIROI customer

A medium-sized mechanical engineering company with over five hundred employees faced a critical challenge when three of its most experienced service technicians retired within the same year. Collectively, these technicians had over eighty years of experience with the company's in-house products and possessed knowledge of troubleshooting solutions that were not documented in any manual. The company opted for a systematic knowledge extraction process and conducted extensive interviews with the departing experts. These conversations were analysed, structured, and integrated into an intelligent assistance system. Young service technicians can now ask questions and receive answers based on the wealth of experience of their retired colleagues. The average resolution time for complex service cases decreased by forty percent within six months. Simultaneously, customer satisfaction demonstrably increased due to fewer follow-up visits being necessary. Furthermore, the company was able to onboard and deploy new technicians much more quickly and productively.

The KIROI Knowledge Booster as a method for expertise multiplication

The fundamental idea behind this innovative approach is as simple as it is effective. The implicit knowledge of managers and experts is systematically externalised and put into a machine-readable format. This process begins with structured interviews and the analysis of existing communication such as emails, presentations or minutes. This creates a digital knowledge core that reflects the expert's mindset and decision-making logic [2].

A logistics company used this method to capture the knowledge of its most successful dispatchers. These dispatchers made hundreds of decisions daily regarding route planning, driver selection, and customer prioritisation. Much of this was done intuitively and based on years of experience. By systematically capturing these decision patterns, the company was able to develop a support system. New dispatchers now receive recommendations based on the collective experience of their most seasoned colleagues.

In retail, a network of branches achieved similar results. Regional managers with the best sales figures were established as knowledge holders for the entire network. Their strategies for staff scheduling, their approaches to seasonal promotions, and their customer retention methods were documented and prepared. Branch managers in other regions can now access this knowledge and align their own strategies accordingly.

How the KIROI Knowledge Booster is implemented in practice

The implementation follows a tried and tested process that is individually adapted to the needs of each organisation. First, the critical knowledge areas are identified. Which expertise is business-critical? Which knowledge is at risk of being lost? This is then followed by the selection of knowledge carriers and the definition of capture methods. Through accompanying transruption coaching, all participants are optimally prepared and supported for the process [3].

A chemical company went through this process for its laboratory managers. Expertise in quality control had grown over decades and was highly specialised. A comprehensive knowledge system was built through structured interviews and the analysis of test logs. New laboratory technicians now receive context-specific guidance when performing certain analytical procedures. The error rate for critical tests fell significantly.

In the healthcare sector, a clinic group utilised the approach for their nursing management. The most experienced leaders shared their knowledge on shift planning, conflict management, and crisis intervention. This knowledge is now available to all ward managers, supporting them in making difficult everyday decisions. Clients often report a noticeable reduction in the burden of their day-to-day management.

Best practice with a KIROI customer

An international management consultancy with offices in twelve countries was grappling with a classic knowledge-work problem. The partners and senior consultants possessed enormous industry knowledge and methodological expertise, but this competence often remained trapped within individual teams. Young consultants in one country had no access to the wealth of experience of their colleagues in other regions. The company launched a comprehensive knowledge extraction project, initially focusing on three core industries. The most experienced partners conducted in-depth interviews about their approaches, typical pitfalls, and successful solution strategies. This material was processed and integrated into an intelligent assistance system. Young consultants can now ask targeted questions before client appointments and receive answers based on the collective knowledge of the entire partnership. The quality of project work has demonstrably improved, and the onboarding time for new consultants has been reduced by a third. The system proved particularly valuable for complex pitches to new clients.

The role of leaders in the age of scalable expertise

Some leaders fear that digitising their knowledge puts their own position at risk. This concern is understandable but unfounded. In reality, the role of leaders is changing, but it is not becoming any less valuable. Leaders are becoming curators and developers of knowledge. They validate the system's recommendations, add new insights, and continue to make the strategic decisions that require human judgement [4].

A construction firm experienced this transformation among its project managers. The most experienced among them shared their knowledge on site organisation, subcontractor management, and risk assessment. Instead of becoming redundant, they gained time for more strategic tasks. They could focus more on client relationships and business development. Their expertise remained in demand, just at a higher level.

A similar pattern emerged in the banking sector. Senior relationship managers shared their knowledge of customer service and portfolio analysis, providing junior advisors with better support during client meetings. The experienced managers subsequently focused more on looking after major clients and complex cases. The team's overall performance increased measurably.

Success factors for the KIROI knowledge booster in various industries

The success of this method depends on several factors. Firstly, it requires the willingness of knowledge holders to share their know-how. This willingness can be fostered by suitable incentive structures and an appreciative company culture. Furthermore, the quality of the capture process is crucial. Superficial interviews yield only superficial results. Therefore, support from experienced moderators and coaches is indispensable.

In the automotive supply industry, the close involvement of works councils proved to be an important success factor. The employee representative body was involved in the project from the outset and was able to ensure that the system was used for support rather than monitoring. This transparency created trust and fostered acceptance among employees.

In the insurance sector, integration into existing workflows played a central role. The claims handlers were not meant to perceive the new system as an additional burden, but rather as helpful support. This integration succeeded seamlessly through careful design of the user interface and access points. The adoption rate was already over eighty percent after just a few weeks.

Best practice with a KIROI customer

A family-run business with a long tradition in specialist machinery faced a unique challenge as the founder and main knowledge holder wished to gradually withdraw from day-to-day operations. His technical knowledge and customer relationships had been built up over five decades and formed the foundation of the company's success. The next generation possessed modern management training, but lacked the founder's specific industry expertise. Together with external consultants, a comprehensive knowledge transfer project was initiated, and the founder held extensive discussions about his experiences over several months. He described typical customer situations, successful negotiation strategies, and technical solutions that had proven effective over the decades. This material was carefully processed and converted into various formats. The successors can now access the founder's knowledge as needed, even though he is no longer present in the company on a daily basis. This system is proving particularly valuable for long-standing customer relationships, whose history and specific details are now documented and accessible. The trust of these customers has been maintained despite the generational change.

My KIROI Analysis

The scalability of leadership knowledge is no longer a vision of the future, but a concrete opportunity that is already being used by innovative companies today. The KIROI Knowledge Booster provides a structured framework for systematically unlocking and sustainably utilising this potential. The aim is not to replace human expertise with technology, but rather to multiply it and make it more widely available.

The examples from various sectors clearly show that the approach works across industries. Whether in manufacturing, the service sector, or knowledge-intensive industries such as consulting and healthcare – critical expert knowledge can be systematically captured and shared everywhere. The prerequisites for success are an open corporate culture, the willingness of knowledge holders, and careful implementation.

This approach opens up new perspectives for executives. They won't become obsolete, but can concentrate on higher-value tasks. Their role will shift from operational knowledge carriers to strategic designers and curators. This development naturally requires a rethink and new competencies, but it also offers enormous opportunities for personal growth and professional advancement.

Demographic change makes this approach increasingly urgent. In the coming years, many experienced professionals and executives will retire. Without systematic knowledge capture, there is a risk of a significant loss of expertise. Companies that act now and establish appropriate structures will enjoy a clear competitive advantage. They can preserve the knowledge of their most experienced employees and make it usable for future generations. The investment in scalable knowledge systems is therefore not just a technological decision, but a strategic alignment for the future viability of the entire company.

Further links from the text above:

[1] Harvard Business Review – Knowledge Management
[2] McKinsey – Insights on People and Organisational Performance
[3] Transruption Coaching at Risawave
[4] MIT Sloan – Leadership Insights

For more information and if you have any questions, please contact Contact us or read more blog posts on the topic Artificial intelligence here.

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