AI SELF ASSESSMENT AI Maturity Check for Life Sciences
Measure your AI maturity, make strengths and risks visible, and align your AI deployment strategically.
Learn how to assess your AI readiness, identify areas for action, and purposefully advance your AI deployment in regulated life-sciences environments.
Receive a visual scorecard of your AI maturity level immediately afterwards.
DHC AI SELF ASSESSMENT
The DHC AI Self Assessment helps life-sciences companies determine their AI maturity in a structured and pragmatic way—with a focus on regulated environments.
- Clarity about your current AI maturity level in the life-sciences and GxP context
- Identified areas for action across governance, data, technology, and organization
- Better positioning of your existing AI initiatives and use cases
- A foundation for a targeted AI roadmap instead of isolated, one-off initiatives
HOW DOES THE AI SELF ASSESSMENT WORK?
Answer questions
Answer questions about AI use cases, governance, data, infrastructure, and the regulatory framework in your company.Receive a scorecard
Immediately afterwards, you will see a visual scorecard that benchmarks your current AI maturity level in the regulated life-sciences environment.Optional: go deeper
Below the scorecard, you can optionally leave your contact details (non-binding) if you would like to discuss your results with our experts or receive further information.
Typical questions and challenges around AI in the life-sciences environment
Are we already using AI in a GxP-relevant way—and have we adequately assessed risks to patient safety, product quality, and data integrity?
Are governance, roles, and responsibilities for AI systems clearly defined?
How strong are the data quality, transparency, and traceability of our AI models in a regulated environment?
Do we already address the EU AI Act, GxP, GDPR, and ISPE GAMP® systematically—or only on a case-by-case basis?