AI Readiness Checklist
A simple guide for pharma leaders to assess their readiness for AI transformation.
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| Question | Checklist Item | Completed |
|---|---|---|
| 1. The Problem: Where Should We Focus? | We have identified a top-3 business problem where AI could have a significant, measurable impact. | |
| The problem is well-understood and has clear boundaries and objectives. | ||
| The initiative is aligned with our broader corporate strategy. | ||
| 2. The Value: What is the ROI? | We have defined clear success metrics (KPIs) for the AI initiative. | |
| A preliminary business case with estimated costs and benefits has been developed. | ||
| We have executive sponsorship for this initiative. | ||
| 3. The Data: Is Our Foundation Ready? | The data required for the project is identified and accessible. | |
| We have a process to assess and ensure data quality and integrity. | ||
| A clear data governance framework is in place. | ||
| 4. The Approach: How Do We Start? | We plan to start with a small-scale pilot or MVP, not a large-scale project. | |
| The project team is empowered to iterate quickly based on learnings. | ||
| We have a mechanism to measure the outcomes of the pilot against our initial KPIs. | ||
| 5. The People: Do We Have the Skills? | We have identified the key skills (e.g., data science, ML engineering) needed for the project. | |
| We have a cross-functional team that includes both technical experts and business domain specialists. | ||
| There is a plan for upskilling or hiring to fill any talent gaps. | ||
| 6. The Culture: How Do We Manage Change? | We have a plan to communicate the "why" behind the AI initiative to all stakeholders. | |
| Key stakeholders have been involved in the planning process to foster buy-in. | ||
| We are prepared to support employees as their roles evolve with new AI tools. | ||
| 7. The Ethics: Are We Responsible? | We have a framework for ensuring fairness and mitigating bias in our AI models. | |
| There is clear accountability for the decisions and outputs of our AI systems. | ||
| We are committed to transparency in how our AI models are built and used. |