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Accelerate clinical trial start-up: Beginning with the protocol

Introduction

Developing a new medicine involves extensive documentation and regulatory review and approval. One of the most important documents in the drug development process is the Clinical Study Protocol (CSP), the blueprint that defines how a clinical trial will be designed and conducted. AstraZeneca set out to compress CSP drafting and review cycles while maintaining scientific rigor and compliance requirements. Deloitte Consulting LLP (Deloitte US) delivered Intelligent Protocol, an AI-assisted authoring capability powered by Anthropic’s Claude models and designed with evidence-backed, human-in-the-loop controls to help teams research, draft, and refine protocol content in standard, traceable ways. By removing friction from an important early step in trial start-up, teams can initiate studies more quickly and spend more time on science and delivery—helping accelerate the journey from research to patient impact.

Deloitte US designed the overall process, step-by-step guidance, and built-in review controls so it works for everyday use, with writers firmly in control.

The situation

CSP authoring is traditionally manual, resource-intensive, and highly iterative—often spanning months as teams gather disconnected inputs, reconcile cross-functional feedback and merge study-specific narrative with required template language.

AstraZeneca faced three persistent challenges:

  1. Disconnected inputs: Authors spent significant time tracking down prior protocols, reference materials, and published literature without a unified starting point.
  2. Inconsistent standardization: Protocols often vary across study teams, complicating reuse, and increasing rework.
  3. Long iteration cycles: Open-ended scientific narrative sections required repeated “search, draft, review, revise” loops across functions—creating pressure to move faster without compromising quality or compliance.

The solution

Deloitte US built a CSP writing process in which AI agents do the heavy lifting while people stay in charge. It grounds its work in science, reuses approved content, and lets writers draft interactively. The tool is powered by Claude, implemented on AWS Bedrock and securely integrated into AstraZeneca’s existing AWS technology environment. Claude drafts detailed scientific sections, answers questions about the source documents, and refines drafts. Deloitte US designed the overall process, the step-by-step guidance, and the built-in review controls so it works for everyday use, with writers firmly in control.

How it works, end-to-end:

Research and gather: The tool can rapidly identify and extract relevant content from prior protocols and scientific literature, while filtering and drilling down to the most pertinent sources for a current study.

Synthesis and authoring: The tool can help teams draft open-ended narrative sections and merge them with standard protocol language to produce a high-quality first draft faster.

Iterate with functions: The tool supports collaborative authoring and review, helping enable quicker iteration cycles through AI-assisted research, drafting and quality checks—while keeping authors in control.

Key capabilities:

  • Evidence-backed drafting: Pull from prior protocols and scientific literature with inline citations to speed review and strengthen defensibility.
  • Reusable structure and from-scratch drafting: Use pre-approved templates or libraries as a foundation, then add custom-written sections—this maintains the required structure while producing tailored content faster.
  • Guided, consistent authoring: Section-level guidance and prompts help improve consistency across authors and protocol sections.
  • Interactive refinement: Ask questions of source documents and iteratively edit drafts to validate assumptions and refine language.
  • Quality and governance controls built in: Human-in-the-loop controls and agent-led quality checks help reduce avoidable rework before broader reviews.
  • Works with your existing tools: Takes in rich content like tables and figures in many formats, and exports to the platforms teams already use for collaboration and approvals.

The impact

AstraZeneca has used the protocol authoring capability to develop two protocols for new studies, with six additional studies planned soon. The effort achieved approximately 50% time savings for clinical scientists and medical writers, while producing clinically coherent and scientifically accurate narrative outputs consistent with manually authored drafts.

What’s next

Deloitte US helped AstraZeneca use Claude-powered Generative AI to write first drafts of clinical study protocols faster, with shorter review cycles where scientists reviewed each step and each claim with clinical evidence.

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