Controlled pharmaceutical data and traceability workflow
Technology

Digital infrastructure that makes evidence easier to govern.

The roadmap separates implemented foundations from capabilities in development and future plans.

Maturity model

Status before spectacle.

Every capability is labelled by its real stage.

live

Public company platform

Responsive corporate website, structured entity content, account application and controlled public information.

Microsoft 365 document foundation

A governed SharePoint site structure for company records, architecture, products, quality, regulatory, board and audit materials.

Canonical data model

A relational operational model for customers, suppliers, products, orders, documents, approvals, regulatory records and audit events.

development

Secure role-based portals

Customer, employee, board and administrator applications backed by the Node runtime and server-side scope enforcement.

Account, order and document workflows

Digital onboarding, product master, ordering, purchasing, document outbox and integration-event processing.

SharePoint and logistics connectors

Microsoft Graph synchronisation is implemented; production Entra credentials and logistics API contracts are still required.

planned

AI-assisted demand forecasting

A proposed forecasting capability that will require governed source data, model validation, monitoring and human oversight.

Batch-level traceability

A roadmap for stronger chain-of-custody, batch, temperature and recall visibility; blockchain is an option, not a deployed claim.

Partner API network

Planned integrations for inventory, orders, delivery events, finance and customer procurement systems.

Controlled information architecture connecting operational records
Unified architecture

Records and documents remain connected without sharing an unsafe public boundary.

Transactional records belong in the governed application database. Controlled documents use private SharePoint or approved storage, linked by immutable identifiers and server-side authorisation.

  • Private-by-default documents
  • Version and approval evidence
  • Idempotent integration records
Responsible AI

AI supports bounded review, not regulated approval.

Provider-disabled defaults, approved sources, redaction, citations, abstention and accountable human review define the policy.

Review the AI governance model
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