Usage context
Context
01
Narrative · 01
Context
An enterprise API layer is set up for secure, controlled data sharing with internal teams, suppliers or customers.
Data infrastructure & integration
Enterprise API and Data Sharing Layer
Secure API access to data for internal and external stakeholders; quotas, authorization, versioning and usage records.
Solution flow
01
Context
An enterprise API layer is set up for secure, controlled data sharing with internal teams, suppliers or customers.
02
What we do
We install an enterprise API layer: endpoints, authorization, quotas and audit trail are written in the project definition; which dataset opens to whom is approved.
03
What you get
Published API, usage log and access acceptance record.
Our approach
What we do
02
Narrative · 02
What we do
We install an enterprise API layer: endpoints, authorization, quotas and audit trail are written in the project definition; which dataset opens to whom is approved.
Deliverables
What you get
03
Narrative · 03
What you get
Published API, usage log and access acceptance record.
04
How we verify
Each published endpoint is tested with authorization, quota and versioning scenarios; acceptance confirms that access and usage records appear completely in the audit trail.
05
What is required
Requires a decision on which datasets open to whom, an authentication mechanism, and the list of stakeholders who will consume the API.
How it works
When internal teams, suppliers and customers all want the same data, every connection turns into separate custom work. The API layer manages access from one place with authorization, quotas and usage records; acceptance is by seeing those records in the audit trail.
A separate integration per stakeholder
The same dataset is opened again and again in different formats with different security expectations. Without access control and usage measurement, who sees how much of the data cannot be governed.
Authorization, quota and versioning
Endpoints, authorization, quotas and the audit trail are written in the project definition; which dataset opens to whom is approved. Versioning allows change without breaking consumers.
Traceable access
Each published endpoint is tested with authorization, quota and versioning scenarios; access and usage records are kept in full. Data sharing thus becomes explainable after the fact.
What comes next
Once the API layer is stable, supplier portals, regulatory links and partner integrations are added on the same access model.
Record chain
Record context
From obligation to measured record to produced output.
01
Obligation / requirement
Production, traceability or quality record obligation
02
Required record
Shop-floor production and process records
03
What AEON produces
Timestamped operational records from measurement
What's included
- API catalog
- Stakeholder-based access report
- Auditable data sharing record
- Rate limiting and audit trail by default
Industry context
Industry contexts where this solution is often relevant.
Related solutions
Solutions often considered together.
Contact
Let’s clarify the scope together
We clarify a suitable scope together based on your site, industry and goals.