Connected data model
Agreed asset, agreement, event and financial records with ownership and source mappings.
Transport Data & AI Foundations
Make your transport data usable.
Connect asset, contract, operational and financial records for a named workflow.
Enterprise & PSU Performance Design partner programme
edge. Data & AI architectureIllustrative
DocumentsOperating eventsMaster data
Asset contextIdentity · configuration
Event · obligation
Event · obligation
ExtractCheckReview
Source referenceAttached
Rule & model versionRecorded
Institutional decisionAuthorised review
What you receive
A foundation the receiving team can use.
Quality and evidence controls
Reconciliation checks, freshness, completeness and a traceable path from a result to its sources.
Controlled review workflow
Document and analysis agents with defined permissions, evaluation and human approval points.
Operating handover
Monitoring, support responsibilities and documented conditions for updating rules or models.
An illustrative engagement
One transport account across several plants
A industrial group needs consistent contract and event identifiers before it can compare and review transport invoices across its plants.
The review file connects
Explore the working sampleProposed use case · not a customer result01
Plant ERP and logistics exports
02
Contracts and invoice records
03
Enterprise access and deployment requirements
How it works
From the source to the receiving team.
- 01
Choose the business outcome
Agree the decision, process owner and baseline before selecting the technical scope.
- 02
Establish the data model
Map sources and identifiers, then test quality and access with the system owners.
- 03
Build and evaluate
Implement the bounded workflow and evaluate calculations, agent output and reviewer experience.
- 04
Prepare to operate
Agree deployment, permissions, monitoring, support and handover requirements.
Scope & evaluation
Agree the evidence.
Define a useful result.
Use the details below to assess fit with your workflow.
01 Evidence requirements5 inputs
- Defined workflow and business owner
- Approved data sources and system interfaces
- Identity, access and retention requirements
- Representative records and known outcomes
- Deployment and operating standards
02 Evaluation measures4 measures
- Source-to-output traceability
- Data-quality and reconciliation coverage
- Evaluated review accuracy and effort
- Operational readiness against agreed acceptance criteria
03 Scope and outputs in detail
The programme begins with an institutional use case such as transport invoice review, asset assurance or service verification. It establishes the identifiers, data contracts, source traceability and review controls needed to support that decision in the organisation’s environment.
Outputs to assess
- An agreed transport data model
- Reusable quality and account checks
- A controlled review workflow with an operating owner
Scope, permissions, integrations and acceptance criteria are agreed before work begins. Your authorised team retains the institutional decision.
Questions
Can the work use our existing cloud and data platform?
The engagement starts from the organisation’s approved environment and operating standards. Deployment, integrations and permitted services are established during scoping.
What decisions do agents make?
The agreed workflow can use agents to assemble evidence, reconcile documents and draft review material. Authorised staff retain the approval decisions defined by the institution.
Can this support finance, insurance or public-sector programmes?
Yes. The same foundations can be scoped for an institutional workflow, with its specific permissions, evaluation and operating requirements.
The next conversation
Start with this workflow.
Bring a representative set of records and the team responsible for assessing the output.
Start a conversationTalk to the desk.
Tell us who you are and the decision you are pricing. The first conversation costs nothing. A reply comes on working days.
Or write to [email protected].