Follow our structured approach
with proven success across industries
2.0
AI Training Workshop
Participant
All Staffs
Format
Lecture & Workshop (3 days)
Objective
Develop organization understanding of Agentic AI concepts, tools, identify real use cases and hands-on create the prototype.
4.0
Adoption Support
Participant
All Staffs
Format
Hackathon & Coaching (30 - 90 days)
Objective
Encourage organization-wide AI adoption, provide technical and practical support, and ensure real-world use cases deliver value.
1.1
Executive Alignment
Participant
C-Level Executives
Format
Interview (1-2 days)
Objective
Align leadership on business and AI objective, define key success criteria while ensuring readiness especially in change management.
1.2
Management Alignment
Participant
HODs, Key Team Member, IT
Format
Interview & Workshop (5-7 days)
Objective
Deeply understand operations and workflow, access staff skill levels, identify pain point, and explore potential AI use cases.
1.3
Initial Data Discovery
Participant
IT & Data Teams
Format
Technical Session (2 days)
Objective
Review current data landscape, sources, and accessibility to design a conceptual data warehouse supporting both BI and AI enablement.
3.1
Finalize Solution Design
Participant
All Staffs + Key Team Member
Format
Interview & Workshop (14 days)
Objective
Translate findings from previous phases into a clear solution blueprint, defining functional requirements, data flows, and AI interaction design.
3.2
Data Warehouse Creation
Participant
IT & Data Teams
Format
Technical Session (45 - 90 days)
Objective
Develop a unified data warehouse that consolidates internal data sources to support both Business Intelligence (BI) and AI-driven analytics.
3.3
Launch Agentic AI Platform
Participant
AI Developers
Format
Development (60 -120 days)
Objective
Build and deploy a personalized, enterprise-grade Agentic AI Platform integrated with internal data and workflows.
*P.3.2 and P.3.3 can proceed in parallel*
5.0
Establish AI section / Department
Participant
IT & HR
Format
Organization Structuring
Objective
Institutional AI ownership under IT to ensure long-term sustainability, maintenance, and continuous improvement.
*P.4 and P.5 can proceed in parallel*
1.1
Executive Alignment
Participant
C-Level Executives
Format
Interview (1-2 days)
Objective
Align leadership on business and AI objective, define key success criteria while ensuring readiness especially in change management.
1.2
Management Alignment
Participant
HODs, Key Team Member, IT
Format
Interview & Workshop (5-7 days)
Objective
Deeply understand operations and workflow, access staff skill levels, identify pain point, and explore potential AI use cases.
1.3
Initial Data Discovery
Participant
IT & Data Teams
Format
Technical Session (2 days)
Objective
Review current data landscape, sources, and accessibility to design a conceptual data warehouse supporting both BI and AI enablement.
2.0
AI Training Workshop
Participant
All Staffs
Format
Lecture & Workshop (3 days)
Objective
Develop organization understanding of Agentic AI concepts, tools, identify real use cases and hands-on create the prototype.
3.1
Finalize Solution Design
Participant
All Staffs + Key Team Member
Format
Interview & Workshop (14 days)
Objective
Translate findings from previous phases into a clear solution blueprint, defining functional requirements, data flows, and AI interaction design.
3.2
Data Warehouse Creation
Participant
IT & Data Teams
Format
Technical Session (45 - 90 days)
Objective
Develop a unified data warehouse that consolidates internal data sources to support both Business Intelligence (BI) and AI-driven analytics.
3.3
Launch Agentic AI Platform
Participant
AI Developers
Format
Development (60 -120 days)
Objective
Build and deploy a personalized, enterprise-grade Agentic AI Platform integrated with internal data and workflows.
*P.3.2 and P.3.3 can proceed in parallel*
4.0
Adoption Support
Participant
All Staffs
Format
Hackathon & Coaching (30 - 90 days)
Objective
Encourage organization-wide AI adoption, provide technical and practical support, and ensure real-world use cases deliver value.
5.0
Establish AI section / Department
Participant
IT & HR
Format
Organization Structuring
Objective
Institutional AI ownership under IT to ensure long-term sustainability, maintenance, and continuous improvement.
*P.4 and P.5 can proceed in parallel*
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