Interfaces with clear contracts
Design APIs, integration services, and event-driven exchanges with documented schemas and permissions. Agree on record ownership, versioning, and error handling before connecting production systems.
CapabilitiesData & Infrastructure
Connect the systems. Clarify the picture.
Reliable data, useful integrations, and infrastructure that makes the whole system work.
03 / The operational problem
Begin with the work.
An institution can have all the data it needs and still struggle to answer a simple question. Different identifiers, definitions, and update schedules create a fragmented picture. We connect systems through explicit contracts and build a shared understanding of what the data means.
- 01ERP & source systems
- 02Validated integration
- 03Shared data model
- 04Applications & AI
- 05Reports & open exports
Technical capabilities
From requirements
to working software.
Data pipelines that can be understood
Ingest, validate, transform, and reconcile data. Track source lineage, duplicates, and exceptions so an operator can explain why a value changed and recover from a failed run.
Reporting built on shared definitions
Model data for warehouses, dashboards, and public reporting. Define metrics once, carry their context into the interface, and make underlying records available through appropriate exports.
Infrastructure for the operating model
Plan cloud environments, application boundaries, configuration, deployment, and observability together. Define recovery expectations and operational ownership in terms the institution can evaluate.
Representative use cases
Where this can help.
Examples of the work this approach can support. These are application scenarios, not claims of past performance.
Financial data exchange
Bring ERP actuals into a planning system, reconcile them, and export approved budgets in the format the ERP expects.
Cross-department reporting
Connect departmental records to a consistent reporting model with documented definitions and traceable updates.
Modern integration layer
Expose supported capabilities from older platforms through bounded interfaces, reducing point-to-point connections.
Engineering approach
Make the important decisions explicit.
Establish ownership
Inventory sources, identify stewards, and agree which system owns each record and definition.
Build a testable contract
Specify schemas, validation, access, retries, and reconciliation using representative data and realistic failure cases.
Make operations visible
Expose freshness, failures, lineage, and recovery paths. Automate deployments and document how to operate the integration.
Integration considerations
Part of your environment.
An API is one option, not a prerequisite. Some systems require scheduled exports or controlled file transfers. The design should match supported interfaces, vendor constraints, network boundaries, update frequency, and the institution’s ability to maintain it.
Public-sector requirements
Built around responsibility.
Data ownership remains with the institution under the agreed contract. Open export formats, access controls, audit events, retention rules, and tested restoration should be specified explicitly. Infrastructure choices must follow the actual data classification and procurement requirements.
Read our engineering principlesConnected capabilities
Let’s build what matters
Bring the operational problem. Let’s define the system.
Start with the work. We’ll help define the right technology.