Case Studies: Beyond Manual Authoring, a Generative Path to Rapid Regulatory Submissions.
Transforming the creation of complex regulatory documents—such as Clinical Study Reports (CSRs), protocols, and Patient Safety Updates—requires scalable GenAI solutions. This domain builds sophisticated, automated authoring workflows driven by reusable content components and precise prompt engineering.
By embedding human-in-the-loop QC and strict quality-by-design principles, these platforms drastically reduce authoring turnaround times, ensure high consistency, and mitigate the risk of AI hallucinations.
Key Differentiators: Intelligent Control & Automation
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AI-Enabled Regulatory Content
Challenge: Manual, time-intensive regulatory authoring with inconsistent content quality and high QC effort.
Solution: GenAI-enabled authoring workflows with reusable content components. LLM evaluation and human-in-the-loop QC at every stage.
Results: Improved content consistency and traceability. Reduced repetitive authoring. QC maintained at high standard. -
Protocol & CSR Automation (AIDCG Platform)
Challenge: Manual protocol and CSR authoring on AIDCG platform — time-consuming, limited automation.
Solution: Section-level metadata tagging and template backbone. Prompt writing and testing on AWS/AIDCG. Jira management for task tracking.
Results: Three programme increments automated. Repeatable prompt library established. Improved authoring turnaround. -
Hybrid Application for CSR Authoring (Global)
Challenge: Manual CSR authoring — slow, inconsistent, handling DD and DID sections across global studies.
Solution: DD/DID section categorisation. Automated CSR platform with minimal author input. Human review at every stage.
Results: Hybrid model delivered and teams trained. Scalable to additional document types. -
Regulatory Writing Automation (CMP, TMF, SLMOP, PDP)
Challenge: Automate CMP, TMF, SLMOP, and PDP documents using AI while maintaining accuracy, consistency, and intent.
Solution: Automation framework with section-wise prompt refinement. Iterative testing across multiple studies.
Results: 25% time reduction in CMP authoring. SLMOP, TMF, PDP sections automated. Scalable model established. -
AI/LLM Clinical Document Automation
Challenge: Manual authoring for ICF, patient materials, process manuals. Need for scalable AI-supported workflow.
Solution: Stakeholder-driven requirement elicitation. Current/future state workflow mapping. UAT feedback, gap analysis, defect observations.
Results: Structured requirement assets for build/review cycles. Adoption-ready workflows for ICF, patient/site materials. -
GenAI-Enabled Regulatory Medical Writing (PSURs, PBRERs, CSRs, MOPs)
Challenge: Automation of complex regulated medical reports. Ensuring AI accuracy and compliance while minimising hallucinations.
Solution: GenAI writing workflows with structured prompts. Prompt engineering, governance, and Quality-by-Design. SOPs and cross-functional adoption.
Results: Improved accuracy and reproducibility. Reduced hallucination risk. Scalable, client-ready GenAI workflows.