1. Requirement Analysis: During this phase, AI4Mgmt consultants and solution architects work closely with the client to identify and understand their specific data needs, business goals, and technical requirements. This phase ensures that the AI4Mgmt solution is tailored to meet the client's unique needs.

2. Data Integration: In this phase, the AI4Mgmt team focuses on integrating the client's data sources into the AI4Mgmt platform. This includes data mapping, validation, and any necessary data transformation tasks. Ensuring seamless data integration is crucial for the successful implementation of the AI4Mgmt solution.

3. Custom Configuration: During the custom configuration phase, the AI4Mgmt team customizes the platform's rules, algorithms, and user interface based on the client's unique requirements. This ensures that the AI4Mgmt solution is adapted to the client's specific context and provides the most relevant and actionable insights.

4. Testing & Training: In this phase, the AI4Mgmt team conducts rigorous testing of the configured solution to ensure it meets the client's requirements and performs as expected. Additionally, the team provides comprehensive training to the client's staff to ensure they are comfortable using the AI4Mgmt platform and understand how to leverage its features effectively.

5. System Deployment: During the final phase, the AI4Mgmt team deploys the configured solution in the client's environment. This includes ongoing support and maintenance to ensure the solution continues to deliver value and remains aligned with the client's evolving needs.

The estimated duration for the entire AI4Mgmt implementation process, including all five phases (Requirement Analysis, Data Integration, Custom Configuration, Testing & Training, and System Deployment) is 12 weeks. However, it is important to note that the specific duration may vary depending on the complexity of the project and the client's unique needs. Our implementation team will work closely with the client to ensure that the project is completed within the estimated time frame and to their satisfaction.

The AI4Mgmt implementation framework includes virtual meetings for both the steering committee and project committee, with a frequency of quarterly and monthly, respectively. The meetings have a duration of one hour and involve client and company participant roles. 

• The steering committee includes sponsor and project manager client participant roles and CEO, CTO, and project manager company participant roles. 

• The project committee includes project manager, technical lead, and functional lead client participant roles and a project manager company participant role.

The overall project status is represented by the Green, Orange, and Red indicators, which are used to track the project's overall health.