Traceability process model
Defined as part of the engagement and adapted to the organisation, risk profile and delivery context.
Provenance & traceability
Create shared evidence across fragmented supply chains and organisations.
We design provenance systems around events, participants, evidence, certifications, source systems and the decisions users need to make from trusted histories.
What we examine
Architecture follows the operating problem.
The work starts with participants, incentives, trust boundaries, process economics, evidence requirements and integration constraints.
- Multi-party process and event mapping
- Data provenance and evidence design
- Certification and attestation workflows
- Product and batch identity
- Integration with ERP, IoT and existing data
- Governance, onboarding and exception handling
Typical outputs
Decision-ready artefacts, not technology theatre.
Deliverables are scoped to the engagement and can support internal approval, procurement, architecture, pilot delivery and capability transfer.
Event and evidence schema
Defined as part of the engagement and adapted to the organisation, risk profile and delivery context.
Participant governance model
Defined as part of the engagement and adapted to the organisation, risk profile and delivery context.
Integration architecture
Defined as part of the engagement and adapted to the organisation, risk profile and delivery context.
Pilot measurement framework
Defined as part of the engagement and adapted to the organisation, risk profile and delivery context.
Scale and onboarding roadmap
Defined as part of the engagement and adapted to the organisation, risk profile and delivery context.
Delivery path
From suitability to controlled implementation.
Discover
Define the problem, stakeholders, alternatives, value case and blockchain suitability.
Design
Specify the operating model, data, governance, architecture, controls and integration.
Validate
Prototype or pilot against explicit success measures, security requirements and adoption constraints.
Scale
Move toward production with governance, monitoring, ecosystem onboarding and capability transfer.
Questions
Frequently asked questions.
No. Blockchain can strengthen tamper-evident shared records, but physical-to-digital integrity still depends on process controls, sensors, inspections and accountable data entry.
Yes. Integration with ERP, logistics, IoT, certification and document systems is typically central to the design.
We examine reconciliation effort, dispute costs, auditability, compliance, process delays and the economic value of better provenance under explicit assumptions.
Start with evidence
Bring the use case, not a preferred chain.
We can help determine whether DLT is justified and what a credible implementation path would require.