

AI Use Case Evaluation & Prioritization
Strategic evaluation and prioritization of ~50 AI use cases to support the client’s initial GenAI transformation roadmap.
Pharmaceutical Industry
2024
Client
The client is a leading global pharmaceutical company headquartered in Asia, with operations across the U.S., Europe, and Asia, and a strong focus on innovation and compliance in its digital transformation efforts.
Problem
No Framework to Evaluate and Prioritize AI Opportunities
The client had compiled a large set of potential AI and GenAI use cases across multiple departments, but lacked a clear methodology to assess, compare, and prioritize them. Decision-makers were unsure which initiatives to focus on, what value they could expect, and how to balance feasibility with strategic relevance. Without a structured framework, the risk of misaligned investment and delayed implementation was high.
Solution
Structured Evaluation Framework and Prioritization Dashboard
A custom evaluation framework was developed to assess all AI use cases along dimensions such as business impact, technical feasibility, implementation effort, and organizational readiness. Each use case was scored based on quantitative and qualitative criteria. A Power BI dashboard was created to visualize results, enabling dynamic filtering, scenario simulation, and executive-friendly decision-making. This helped the client define a clear AI starting point, phase further initiatives, and align AI efforts with overarching business goals.
Technologies & Frameworks
AI Strategy Enablement with Power BI, Prioritization Frameworks, and GenAI Landscape Analysis
Power BI – implemented an interactive dashboard for scenario-based prioritization and transparent scoring of AI use cases
Microsoft Excel – used for prototyping and defining scoring logic during framework development
Custom Prioritization Framework – designed to balance business value, technical effort, and AI readiness
More Works


AI Use Case Evaluation & Prioritization
Strategic evaluation and prioritization of ~50 AI use cases to support the client’s initial GenAI transformation roadmap.
Pharmaceutical Industry
2024
Client
The client is a leading global pharmaceutical company headquartered in Asia, with operations across the U.S., Europe, and Asia, and a strong focus on innovation and compliance in its digital transformation efforts.
Problem
No Framework to Evaluate and Prioritize AI Opportunities
The client had compiled a large set of potential AI and GenAI use cases across multiple departments, but lacked a clear methodology to assess, compare, and prioritize them. Decision-makers were unsure which initiatives to focus on, what value they could expect, and how to balance feasibility with strategic relevance. Without a structured framework, the risk of misaligned investment and delayed implementation was high.
Solution
Structured Evaluation Framework and Prioritization Dashboard
A custom evaluation framework was developed to assess all AI use cases along dimensions such as business impact, technical feasibility, implementation effort, and organizational readiness. Each use case was scored based on quantitative and qualitative criteria. A Power BI dashboard was created to visualize results, enabling dynamic filtering, scenario simulation, and executive-friendly decision-making. This helped the client define a clear AI starting point, phase further initiatives, and align AI efforts with overarching business goals.
Technologies & Frameworks
AI Strategy Enablement with Power BI, Prioritization Frameworks, and GenAI Landscape Analysis
Power BI – implemented an interactive dashboard for scenario-based prioritization and transparent scoring of AI use cases
Microsoft Excel – used for prototyping and defining scoring logic during framework development
Custom Prioritization Framework – designed to balance business value, technical effort, and AI readiness
More Works


AI Use Case Evaluation & Prioritization
Strategic evaluation and prioritization of ~50 AI use cases to support the client’s initial GenAI transformation roadmap.
Pharmaceutical Industry
2024
Client
The client is a leading global pharmaceutical company headquartered in Asia, with operations across the U.S., Europe, and Asia, and a strong focus on innovation and compliance in its digital transformation efforts.
Problem
No Framework to Evaluate and Prioritize AI Opportunities
The client had compiled a large set of potential AI and GenAI use cases across multiple departments, but lacked a clear methodology to assess, compare, and prioritize them. Decision-makers were unsure which initiatives to focus on, what value they could expect, and how to balance feasibility with strategic relevance. Without a structured framework, the risk of misaligned investment and delayed implementation was high.
Solution
Structured Evaluation Framework and Prioritization Dashboard
A custom evaluation framework was developed to assess all AI use cases along dimensions such as business impact, technical feasibility, implementation effort, and organizational readiness. Each use case was scored based on quantitative and qualitative criteria. A Power BI dashboard was created to visualize results, enabling dynamic filtering, scenario simulation, and executive-friendly decision-making. This helped the client define a clear AI starting point, phase further initiatives, and align AI efforts with overarching business goals.
Technologies & Frameworks
AI Strategy Enablement with Power BI, Prioritization Frameworks, and GenAI Landscape Analysis
Power BI – implemented an interactive dashboard for scenario-based prioritization and transparent scoring of AI use cases
Microsoft Excel – used for prototyping and defining scoring logic during framework development
Custom Prioritization Framework – designed to balance business value, technical effort, and AI readiness
More Works