Teams repeat the same information
Data is copied across systems manually, increasing delay and inconsistency.
13 · Floatger service
API development & system integration
We design APIs and integrations that help applications exchange information reliably, reduce repeated manual work, and make business processes easier to operate.
The context
When this service becomes valuable.
Connect tools, data, and workflows with clearer boundaries. The right starting point is a shared understanding of the problem—not a predetermined feature list.
Integrations fail without context
Errors are difficult to trace because ownership, contracts, and recovery behaviour are unclear.
Every connection is built differently
Inconsistent patterns make new integrations slower and existing ones harder to maintain.
What the work may include
Connected capabilities, shaped around the engagement.
The exact mix is agreed after understanding your current situation, priorities, and constraints.
01
Integration discovery
Map systems, data ownership, triggers, constraints, failure scenarios, and the intended end-to-end workflow.
02
API and contract design
Define clear interfaces, validation, permissions, versioning, and documentation for consumers.
03
Integration engineering
Implement data exchange, third-party connections, workflow orchestration, and appropriate safeguards.
04
Operational visibility
Add logging, error handling, retry behaviour, and support context for critical integration paths.
Potential outputs
Tangible progress your team can use.
Outputs depend on the scope and stage of the engagement. They are agreed before delivery begins and refined as the work becomes clearer.
- 01A system ownership, data-flow, and field-mapping model
- 02Documented API contracts and representative test scenarios
- 03Implemented integrations, synchronisation, or automated workflows
- 04Monitoring, reconciliation, error-handling, and recovery guidance
Planning the engagement
Make the inputs, evidence, and boundaries clear.
Useful delivery starts with the right context and an agreed way to evaluate progress—not an assumption that every possible concern belongs in scope.
What we need to understand
- System owners, documentation, data definitions, and workflow context
- Supported authentication, rate limits, versioning, and provider constraints
- Test credentials, safe sample data, sandbox access, and representative scenarios
- Timing, reconciliation, privacy, failure, retry, and operational support requirements
How progress can be evaluated
- Agreed data moves accurately through realistic end-to-end scenarios
- Duplicate, delayed, invalid, and failed exchanges follow defined behaviour
- Owners can monitor, reconcile, recover, and respond to provider changes
Important scope boundary
Request/response APIs, events, scheduled synchronisation, and supported file exchange are considered according to the workflow. Third-party access, availability, policies, limits, and future changes remain controlled by their providers.
Delivery path
From context to a practical next stage.
Each stage creates enough clarity for the decisions that follow, while keeping the process proportionate to the work.
Map
Identify systems, owners, data, triggers, constraints, and failure paths.
Contract
Define interfaces, validation, permissions, and expected behaviour.
Connect
Implement and test the integration across realistic scenarios.
Observe
Document, monitor, and prepare the workflow for operational support.
Engagement shape
Start at the point that matches the challenge.
Integration discovery
Map systems, owners, data, constraints, exchange patterns, and failure paths before implementation.
Defined API or connection
Design, build, test, document, and prepare one or more agreed interfaces for operation.
Connected workflow evolution
Extend integrations and automation while maintaining contracts, visibility, and recovery context.
Service questions
Useful things to clarify.
Can you integrate with a third-party product?+
Potentially, if the product provides a suitable API or supported exchange method. We review its documentation, access model, limits, and operational constraints before scoping the work.
Can an integration automate our whole process?+
Automation is most effective when the underlying process and decision points are clear. We first identify which steps are stable, repeatable, and appropriate to automate.
How are integration failures handled?+
The design can include validation, clear errors, retries where appropriate, logging, alerting, and a documented recovery path based on how critical the workflow is.
How is sensitive data protected?+
We define the data required, ownership, access boundaries, transmission and storage expectations, and logging constraints with your team. Formal regulatory or security assurance remains a separately agreed responsibility.
What happens when a third-party API changes?+
Version monitoring and maintenance ownership should be agreed for important integrations. A provider can still change or withdraw functionality, so the operating plan should include impact assessment and a practical response path.
Start a conversation
Let's discuss api & integration.
Share the context, current state, and what you need to move forward. We will help identify a sensible starting point.