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2026 Biopharma Agentic AI Readiness Survey

Assess your organization’s preparedness for the AI revolution. Your insights help
shape the future of Scientific Workflows.

0 / 9 Completed

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Section 1: Maturity Assessment

Question 01

1. How would you characterize your organization's engagement with "Agentic AI" (autonomous agents)?

A. Unexplored: We are still focused on standard Generative AI (Chat/Summarization).

B. Learning: We are actively evaluating the ROI thus far generated by GenAI and Agentic AI.

C. Experimenting: We have active internal POCs using agents for specific tasks.

D. Piloting: We are running bigger pilots with agents in certain workflows.

E. Production: We have deployed autonomous agents that execute tasks with minimal human oversight.

F. None of the Above. We are neither using AI nor Agentic AI.

Section 2: The Opportunity Landscape

Question 02

2. Which operational functions hold the highest potential for Agentic AI automation in the next 12-18 months?

(Multiple Selections Allowed)

A. Lab Orchestration (Instrument control/Scheduling)

B. Regulatory Intelligence (Drafting/Verification/Submission)

C. Knowledge Management (Cross-departmental synthesis)

D. Pharmacovigilance / Safety

E. All of the Above

Question 03

3. Which stage of the Biopharma Value Chain do you feel holds the highest potential for Agentic AI?

(Multiple Selections Allowed)

A. Discovery

B. Preclinical

C. Clinical

D. CMC (Chemistry, Manufacturing, and Controls)

E. Omics

F. Manufacturing / QC

G. All of the Above

Section 3: Strategy & Implementation

Question 04

4. How does your organization currently initiate new AI/Agentic projects?

A. Ad-hoc / Bottom-up: Individual scientists running isolated POCs and projects.

B. POC-First: We build rapid "Fail Fast" prototypes before deeper planning.

C. Blueprint-First: We require a strategic roadmap and architecture design before code is written.

D. Vendor-Led: We rely on external partners to demonstrate capabilities first.

E. AI strategy led: Centralised group aggregate project requests and provide delivery support

Question 05

5. What are the primary bottlenecks in moving your AI POCs (Proof of Concepts) into production environments?

(Multiple Selections Allowed)

A. "Pilot Purgatory" (Successful tech, but no clear path to scale)

B. Data Governance (Data quality insufficient for autonomous agents)

C. Integration Complexity (Agents cannot reliably talk to legacy lab systems)

D. Cost / ROI Unclear (Potentially too expensive to run at scale)

E. Trust / Hallucination Risks (Safety / Regulatory concerns preventing deployment)

F. All of the Above

Section 4: Value Realization (ROI)

Question 06

6. How is the Return on Investment (ROI) for your current AI initiatives defined?

(Multiple Selections Allowed)

A. Not Defined: Investment is driven by strategic necessity or is too early stage

B. Soft ROI: Measured by time saved or efficiency gains.

C. Hard ROI: Measured by direct cost reduction or headcount avoidance

D. Scientific ROI: Measured by novel discoveries or acceleration of pipeline milestones.

E. All of the Above

Section 5: Data Foundation & Partnerships

Question 07

7. How "Agent-Ready" is your current FAIR data implementation?

A. Human-Centric: Data is findable but often trapped in PDFs or proprietary formats.

B. Searchable but Siloed: Limited Metadata allows finding data, but access requires manual work.

C. Machine-Readable: Data is structured (JSON/Parquet) but lacks semantic context.

D. Agent-Native: Data is fully semantic and accessible via standardized APIs (Agents can "read" and "act" on it).

E. Data is not “Agent-Ready”

Question 08

8. What role do you expect external partners to play in your Agentic AI roadmap?

A. The Builder: Hands-on coding and integration.

B. The Architect: Strategy, blueprints, and roadmap design.

C. The Governor: Establishing safety, ethics, and validation frameworks.

D. The Accelerator: Providing pre-built agent templates or platforms.

E. All of the Above

Section 6: Final Thoughts

Question 09

9. Any specific challenges you foresee in scaling AI agents within your specific domain?

✅

Thank you for taking the time to complete this survey.

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