Context AI/
Value Dossier Agent

Value Dossier Agent

AI-powered co-pilot for accelerating GVD, HTA, and JCA authoring through intelligent evidence synthesis, compliant content generation, and scalable market access workflows.

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 and 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 and Writing

Automates dossier section drafting and generates payer-ready narratives from ingested clinical and RWE evidence.

TPP and 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 and 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.

HOW CLIENTS ENGAGE

Your Competitive Edge

Our proven engagement model ensures successful deployment and lasting value.

1. Commercial AI
1. Commercial AI
1. Commercial AI
Assess

We evaluate your current state, identify opportunities, and define success metrics.

1
Design

Collaborate on solution architecture tailored to your workflows and data landscape.

2
Implement

Deploy the agent with integration support, training, and change management.

3
Scale

Expand capabilities across use cases, teams, and geographies with continuous optimization.

4
BUSINESS OUTCOMES

Measurable Outcomes

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.

Blogs

Insights & Resources

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