How ResolveNext can help
Practical, peer-benchmarked answers for the toughest AI and tech decisions, from peer benchmarks and use cases to expert calls and vendor comparisons.
Senior leaders in biotech and pharma
CSO, CMO, CCO, CIO and other senior roles
- Prioritize AI use cases
Estimate outcomes with customized analysis from our repository of real-world use cases across discovery, preclinical, clinical, CMC, and commercial.
- Benchmark your AI profile
Compare your use cases and hiring plans against a database of 600+ companies to assess progress and spot gaps.
- Plan AI talent
use our tactics and templates to build strategic workforce plans that secure critical AI and roles and ready your workforce for AI-driven work.
- Maximize AI value
Strengthen leadership team commitment and accelerate critical change using our readiness assessments and executive working sessions.
Investors in biotech and pharma
- Assess AI at investment targets
Benchmark targets and portfolio companies against 600+ companies in our AI leadership database.
AI and technology providers
- Identify demand
See demand for AI and technology product categories and buyer segments in biotech and pharma, from real-world use cases and hiring activity.
To discuss how ResolveNext can help your organization, use the form at the bottom of the page, or contact us at research@resolve-next.com.
You ask.
We take your highest-priority AI and tech decisions and assess them in your context.
We synthesize.
We pull from a proprietary base of peer and expert interviews, datasets and benchmarks, real-world case studies, and technology reviews.
We deliver.
You get tailored answers, tools, and templates for decision making, communication, and work planning.
You get value.
Pressure-test the analysis by talking to an expert or peer who faced a similar challenge.
Benchmarking
Use the AI leadership dashboard, outcomes benchmarking, or a combined method to assess and shape your AI strategy.
Membership
Become a ResolveNext member to learn from other experts, access research, benchmarking data, news, and private networking events.
Example Pharma
Commercial stage · compared with 168 commercial-stage companies
How Example Pharma compares against peers
- Deployment
Example Pharma has 60 use cases across 15 processes, 20 of them stating an outcome. The cohort average is 18 use cases across 6 processes.
- Research
Example Pharma has 140 papers that relate to AI, and five trials that use AI or test a drug developed with the help of AI. The cohort average is 12 papers and 1 trial.
- Talent
Example Pharma has job postings for 25 dedicated, 10 specialist, and 15 generalist and support roles that involve AI since September 2026. The cohort average is 20.
- Visibility
Five news items cover Example Pharma's AI work. No named AI executive was found. The cohort average is 4 news items.
Dots show position among commercial-stage companies. Five dots means the top 5%.
Processes with the most AI use cases
- Imaging/Biomarker Analysis15
- Real-World Data Analysis10
- Therapeutic Design/Lead Optimization10
- Trial Data Management5
- Target Discovery/Selection5
What kind of AI talent Example Pharma is hiring for
Example Pharma has job postings for 50 AI-related roles, captured since Sept. 2026. The charts show who those roles are for and how senior they are, set beside the peers.
- Data analytics29%
- Automation & RPA15%
- Data engineering15%
- Data visualization and BI14%
- Machine learning12%
- Data governance11%
- AWS20%
- Microsoft 36518%
- SAP14%
- Power BI13%
- Databricks12%
- Veeva9%
Source: ResolveNext AI Leadership Dashboard. Example Pharma is a fictional example with illustrative figures.
Discuss how ResolveNext can help your organization
Tell us who you are and what you are working on, and the team will reply. Or write to us directly at research@resolve-next.com.