Prompt Ops: The New Standard for GVD Generation
The Challenge
While many AI and content generation tools are being leveraged to create GVDs, a critical pain point persists: the escalating cost of inefficient prompting. Without a focus on Prompt Ops, every poorly constructed prompt raises a token, directly impacting budget and undermining the efficiency gains that AI promises
Our End-to-End Prompt Ops Approach
Our AI-driven workflow leverages a Prompt Ops framework, the discipline of engineering prompts for precision, consistency, and scale to optimize every stage of the GVD lifecycle. This includes meticulously crafting prompts to reduce costly trial-and-error, ensuring every query is purposeful and token-efficient
Evidence Synthesis: From Fragments to a Unified Fabric
- The foundation of a strong GVD is robust evidence. Our Prompt Ops approach uses a series of finely-tuned prompts to direct AI agents to perform systematic literature reviews (SLRs) and synthesize fragmented data from diverse sources including clinical trials, RWE, HEOR models, and PRO studies.
- This ensures a comprehensive and structured data foundation, eliminating manual, time-consuming searches and data deduplication
Dossier Development: Reducing Token Costs Through Precision
- Our solution leverages precision prompt engineering to instruct AI models on how to draft content for each section of the GVD. By using pre-configured templates and aligning with global payer frameworks, we drastically reduce manual writing time.
- This allows medical writers to focus on strategic content refinement and SME review, not on drafting from scratch
GRD Adaptation: Smart, Compliant Localization
- Manual localization by affiliates is a major bottleneck. Our Prompt Ops framework guides the localization process with dynamic compliance mapping for country-specific templates (like NICE, HAS, and CADTH).
- This ensures seamless Global-to-Local (GRD) adaptation, strengthening affiliate submissions and eliminating repetitive work
Submission & Negotiation: Payer-Ready Economics
- Our Prompt Ops framework embeds payer-ready economics (such as ICER, QALY, and BIM models) into the dossier by design, not as an afterthought.
- This provides a consistent and evidence-based narrative for your submissions and enables stronger, more confident payer negotiations
Post-Launch: A Living, Adaptive Dossier
- The value dossier shouldn't be a static document. Our AI model are continuously monitored and controlled through our Prompt Ops framework, which automatically updates the living dossier with new evidence.
- This ensures it remains current, credible, and ready for ad-hoc queries from local affiliates, eliminating costly and time-consuming refresh cycles
Human-in-the-Loop: AI with Human Oversight
- We embed SME oversight at every step of the process.
- This hybrid Prompt Ops approach combines the speed of AI-powered automation with the critical thinking and credibility of human expertise, ensuring every output is not only efficient but also accurate, compliant, and trustworthy
What you Gain
60-70% Faster
Accelerate your time-to-market and secure patient access sooner
40-60% Cost
Automate repetitive tasks and reduce wasted tokens from inefficient prompting to significantly lower operational costs
Enhanced Compliance
Ensure every dossier is accurate, compliant, and ready for regulatory scrutiny
The Agilisium Advantage
With our deep expertise in life sciences data, AI, and domain consulting, we are uniquely positioned not just to compete, but to lead as your Market Access Co-Pilot.
Modular Architecture
Scalable across molecules, therapeutic areas, and geographies for rapid adaptation.
Compliance Mapping
Templates are configurable for HTA bodies like FDA, EMA, NICE, and CADTH.
Living Dossiers
Dossiers evolve automatically with new clinical trial data and RWE.
Transform Your GVD Workflow with Agilisium's Content Gen
Accelerate payer approvals, optimize pricing strategies, and bring therapies to patients faster