Context AI/
Value Dossier Agent

Transforming evidence into payer-ready value — faster, compliant, and at scale.

An AI-powered authoring co-pilot designed to accelerate the creation of Global Value Dossiers (GVDs) by transforming fragmented clinical, economic, and real-world evidence into payer-ready, compliant narratives. Built for Pharma Market Access & Global teams managing GVD–LVD–JCA–HTA workflows under time and compliance pressure. Combines AI-driven evidence ingestion, structured content generation, and HTA-aligned templates to enable faster, scalable, and compliant dossier development across markets.
Up to 70%
Faster GVD creation
30–50%
Reduction in medical writing time
Earlier
Evidence gap visibility
1 Source
Of truth across markets
BUSINESS PROBLEM

Challenges We Solve

Pharma organisations face significant inefficiencies and risks in GVD creation. Five critical pain points drive escalating costs, missed deadlines, and compliance risk.
1. Commercial AI
1. Commercial AI
1. Commercial AI
Manual drafting & rework
Dossier timelines extended by repetitive manual authoring cycles that slow time-to-submission.
Scattered evidence
Clinical, economic and RWE evidence is fragmented across files, making consistent claim linkage unreliable.
Non-reusable model assumptions
Health economic model assumptions and narratives are rebuilt from scratch for every market adaptation.
Late evidence gap discovery
Gaps in evidence are identified late in the review or localisation cycle, triggering costly rework.
Fragmented GVD-to-LVD workflow
Adaptation across markets is managed through disconnected files, folders, and email threads with no single source of truth.
Key Capabilities

Agent Capabilities

GVD Co-Pilot combines six core capabilities that work together as an integrated authoring platform.
1. Commercial AI
1. Commercial AI
1. Commercial AI
AI-Driven Evidence & Writing
Automates dossier section drafting and generates payer-ready narratives from ingested clinical and RWE evidence.
TPP & Payer Alignment
Aligns value narratives to payer expectations and regulatory compliance requirements across HTA bodies.
Embedded Economics
Captures health economic model assumptions, outputs, and narratives with full traceability and audit trail.
Templates & Modularity
Pre-built HTA-aligned templates with reusable content blocks that can be mixed and matched by market.
Governed Evidence Layer
Evidence is structured once and reused across sections, versions, and local market adaptations automatically.
Human-in-the-Loop
AI generates first drafts; SMEs validate, annotate, and approve to ensure accuracy and compliance.
Business Outcomes

Measurable Outcomes

Organisations deploying GVD Co-Pilot report measurable improvements across the dossier lifecycle.
Up to 70%
Faster GVD creation
30–50%
Faster GVD creation
Earlier
Visibility into evidence gaps & version inconsistencies
Reduces
Redundant recreation of model assumptions & narratives

FAQs

Who is this solution designed for?

Pharma Market Access and Global teams managing GVD, LVD, JCA, and HTA workflows under time and compliance pressure.

Does it replace medical writers?

No. GVD Co-Pilot is a human-in-the-loop system. AI drafts sections and surfaces evidence; subject matter experts (SMEs) validate, refine, and approve all content.

Which HTA markets and templates are supported?

The solution supports major markets including US, UK, Germany, France, Japan, and others via pre-built HTA-aligned templates with configurable content blocks.

How is evidence governed and traceable?

The Governed Evidence Layer structures evidence once and links it to claims and sections across the entire dossier. All AI-generated content carries full traceability to source documents.

Can model assumptions be reused across markets?

Yes. Embedded Economics captures model assumptions, inputs, outputs, and narratives so they can be reused and adapted without manual recreation for each market.

Accelerate Global Value Dossier Development with AI Agent

Enable faster, scalable, and compliant dossier development with AI-driven evidence ingestion, modular content generation, and HTA-aligned workflows.

Blogs

Insights & Resources

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