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The RISE Index™ — State of Enterprise AI Adoption in Life Sciences 2027
Help establish a clearer benchmark for what moves AI from experimentation to trusted, sustained and measurable enterprise value.
Participate in the study 8–10 minutes · Responses reported in aggregate
Why this study matters
AI adoption is not simply a technology decision.
Life sciences organizations are investing in AI, yet many initiatives struggle to progress from promising pilots to sustained operational use. The challenge spans strategy, decision rights, data, governance, workflow integration, trust and human adoption.
This study examines those conditions from both sides of the market: the enterprises adopting AI and the partners helping them do it.
The RISE Index™ is a research study, not the individual RISE AI Maturity Assessment™. The free assessment explores readiness across six capability dimensions; this study examines five enterprise-readiness dimensions and will report responses in aggregate.
Explore Enterprise AI Strategy + Adoption, use the RISE Executive Guide to AI vendor evaluation and adoption, read Curbside Consult 07, or listen to RISE Unpacked on why pharma pilots do not scale.
The RISE Index™ framework
Five dimensions of enterprise readiness.
The RISE Index™ will create a practical 0–100 benchmark across the conditions required to scale enterprise AI.
Decision architecture
Clear stakeholders, decision rights and proof requirements.
Data + operating readiness
Fit-for-purpose data, workflows and support capacity.
Governance + trust
Early risk engagement, accountability and transparency.
Human adoption + value
Changed behavior reinforced by measurable outcomes.
Aggregate reporting
Responses will be analyzed collectively. RISE will not attribute comments or identify participants or organizations without separate permission.
Controlled participation
Screening questions ensure the benchmark reflects qualified leaders directly involved in enterprise AI decisions, governance, implementation or adoption.
Practical findings
The final report will identify adoption patterns, enterprise-provider expectation gaps and the priorities most likely to shape 2027.
Contribute your perspective
Help define what responsible enterprise AI adoption looks like in practice.
Qualified participants may request the executive findings and volunteer for a confidential follow-up conversation.
Begin the survey