Dawn C Simmons is available for your Digital Transformation needs.

Dawn C Simmons - Digital Business Process

Knowledge is AI-Power

Knowledge is AI-Power

Knowledge is AI-Power: Knowledge Management (KM) emerges as a linchpin, masterfully reshaping our engagement with technology and inter-personal connections. At the epicenter, KM stands not just as a component, but as the very heart of Artificial Intelligence (AI). It plays a dual role: firstly, by fueling user engagement with insightful and relevant content, and secondly, by significantly boosting productivity through intelligent data utilization. This dynamic interplay between KM and AI doesn’t just alter our technological interactions; it revolutionizes them, making KM an indispensable power source in today’s digital world.

~SQM Group’s research, “How to Improve First Call Resolution
  • Boost in First Contact Resolution (FCR): A robust knowledge management system can significantly increase FCR rates by equipping agents with immediate access to necessary information. More satisfaction for less money? That is noteworthy.
  • Dramatic Reduction in Resolution Time: Entities utilizing knowledge management effectively often witness a substantial decrease in problem resolution time, typically between 50-80%.
  • Significant Cost Savings: Implementing a knowledge-centered support approach can drastically reduce call handling times and the need for follow-up contacts, leading to considerable cost savings.
  • Enhanced Customer Satisfaction: Employing knowledge management generally leads to higher customer satisfaction scores, thanks to faster and more accurate response times.

This powerful tools of Generative AI and Knowledge Management actively cuts down service delivery costs, demonstrating its pivotal role in the evolution of digital services. By bridging gaps and streamlining processes, KM empowers AI systems, engages users more effectively, and transforms the landscape of service delivery into a more efficient and cost-effective domain.

Service Knowledge Management revolutionizes the user experience by offering a comprehensive repository of information, answers, and solutions. This transformation not only accelerates problem resolution but also empowers end-users to independently find solutions, often more swiftly and conveniently than awaiting personal assistance. Consistently reliable information further elevates the quality of the user experience.

This approach significantly diminishes the volume of queries directed at service agents by enabling users to self-solve their issues. Consequently, service agents can focus their efforts on more complex tasks, effectively reducing the cost-of-service delivery. AI-powered knowledge management helps with accessing diversified information in a single place. It allows employees across the organization access to all information. 

n the framework of ITIL (Information Technology Infrastructure Library), the creation, updating, and sharing of knowledge are not just beneficial practices but essential responsibilities for all users. This approach is integral to the continual improvement and effectiveness of IT services.

  • All ITIL Users’ Role: Every user, regardless of their role, contributes to knowledge creation. This involves documenting new findings, solutions, and processes.
  • Enhances Collective Intelligence: This collective effort enriches the knowledge base, ensuring a wide range of insights and solutions.
  • Continuous Improvement: Regular updates to existing knowledge reflect the evolving IT landscape and organizational changes.
  • Responsibility of Users: It’s crucial that all users actively engage in keeping the knowledge base current and relevant.

For ITIL Users, engaging effectively with knowledge is integral to fostering a collaborative and efficient work environment. Emphasizing the principle of ‘Collaboration is Key,’ they should actively share knowledge across departments and teams. This not only nurtures a cooperative atmosphere but also plays a crucial role in dismantling information silos within the organization. By breaking these barriers, ITIL Users can ensure a more integrated and unified approach to service management, leading to enhanced problem-solving and innovation.

  • When to Create Knowledge:
    • Initially, when new solutions or processes are developed.
    • Subsequently, after significant updates or changes in systems or practices.
    • Continuously, as part of routine documentation of experiences and learnings.
  • When to Edit Knowledge:
    • Periodically, to ensure information remains current and accurate.
    • Following feedback from users or new insights, to refine and improve content.
    • Regularly, as a part of quality control and knowledge base maintenance.
  • When to Search for Solutions:
    • Initially, when facing a new challenge or query.
    • Then, as a routine step before escalating issues to higher levels.
    • Continuously, to stay updated on best practices and emerging trends.
  • When to Share Knowledge with End Users:
    • Promptly, when relevant information can resolve user queries.
    • Consistently, to empower users with self-help tools and resources.
    • Proactively, to anticipate and address potential questions or issues.

Incorporating these practices strategically into the KM process can significantly enhance the efficiency and effectiveness of knowledge sharing and utilization within an organization.

Knowledge Management (KM) plays a pivotal role in enhancing AI and Predictive Intelligence. Firstly, it serves as a vital fuel, enriching AI systems with a wealth of diverse data. Secondly, KM significantly sharpens the accuracy of Predictive Intelligence. As a result, this combination leads to more intelligent and responsive AI solutions.

Consequently, organizations utilizing this integration experience a notable uplift in their tech capabilities. Therefore, strategically employing KM to augment AI and Predictive Intelligence is not merely advantageous; it’s crucial for maintaining a competitive edge in the digital arena.

  • Providing Foundational Content: By feeding AI systems with a rich, constantly updated knowledge base, ITIL users enhance the capabilities of these technologies.
  • Key to Advanced Capabilities: The depth and quality of this knowledge base are instrumental in boosting the performance of virtual agents and predictive intelligence.
  • Structured Knowledge Base: Keeping the knowledge organized and accessible ensures that AI and predictive systems can deliver accurate and helpful responses.

By embracing these responsibilities, ITIL users not only enhance their own efficiency and service quality but also play a pivotal role in maximizing the effectiveness of AI and predictive intelligence technologies within their organizations. This collective approach to knowledge management forms the backbone of a responsive, adaptive, and forward-thinking IT service environment.

To enhance agent assist with knowledge use:

  • Ensure agents have instant access to a centralized, regularly updated knowledge base.
  • This access speeds up resolution times and boosts service quality.
  • Agents save time, as they spend less time searching for information or devising new solutions.

These practices lead to more efficient and effective service delivery.

To cultivate a culture of knowledge sharing:

  • Begin by inspiring team members to contribute and exchange insights.
  • Implement incentives and recognition programs for active participants.
  • Integrate knowledge sharing into key performance metrics.

These strategies promote collaboration and foster a continuous learning environment.

To excel in customer service, regularly update and evolve the knowledge content. Continuously refresh and refine the knowledge base to keep it relevant and accurate, involving both adding new content and revising existing material.

Utilize feedback from both users and agents to enhance the knowledge base’s quality, focusing on what users find beneficial and identifying areas for improvement.

Aligning this base with user needs and seamlessly integrating it into service delivery processes is vital. This approach not only improves service delivery but also inspires and empowers customers and agents alike, harnessing the transformative power of knowledge.

Association of Generative 
Artificial Intelligence  


Association of Generative Artificial Intelligence www.linkedin.com/groups/13699504/

Tags :

ai, FCR, First Call Resolution, generative ai, KB, Knowledge

Share :

“It’s not about ideas. It’s about making ideas happen.”

Tags :

ai, FCR, First Call Resolution, generative ai, KB, Knowledge

Share :