Knowledge Management

iAgami Technologies offers a comprehensive suite of Knowledge Management as a Service solutions designed to streamline workflows, drive innovation, and optimize operations.

Surface AI

SurfaceAI

A Powerful Tool for Automated Process Discovery. a cutting-edge platform designed to enhance automated process discovery. By leveraging advanced AI and computer vision technologies, SurfaceAI provides a comprehensive solution for capturing, analyzing, and visualizing knowledge within your organization.
  • Improved Process Understanding: Gain a deeper understanding of your organization's processes and identify opportunities for optimization.
  • Enhanced Efficiency: Streamline workflows and reduce manual tasks by automating repetitive processes.
  • Facilitate Knowledge Transfer: Preserve valuable tacit knowledge and ensure that it is effectively transferred to new employees.
Streamlining Automation

Streamlining Automation

Documenting your current processes and laying the groundwork for a successful automation journey. By providing a comprehensive understanding of your existing workflows, SurfaceAI enables you to identify opportunities for automation and streamline your operations.
  • Efficient Process Mapping: SurfaceAI simplifies the process of documenting complex workflows, providing a clear and concise visual representation.
  • Automation Identification: By analyzing your documented processes, you can easily identify tasks that are suitable for automation.
  • Tool Compatibility: SurfaceAI seamlessly integrates with leading automation tools like Power Automate, UiPath, and Automation Anywhere, ensuring a smooth transition to automation.
KPIs for KM success

KPIs for KM success

We are the innovative suite of analytics and reporting tools to help you measure the success of your knowledge management (KM) initiatives. By tracking key performance indicators (KPIs), you can gain valuable insights into the effectiveness of your KM efforts and identify areas for improvement.
  • Knowledge Base Utilization: Track the number of users accessing the knowledge base and the frequency of searches.
  • Knowledge Base Completeness: Measure the completeness of your knowledge base by evaluating the coverage of topics and the accuracy of information.
  • Time-to-Value: Assess how quickly users are able to find and utilize relevant information.