Capability 02
Making separate systems behave like one system.
API and SaaS integration, ERP integration, middleware and event-driven architecture — designed so that data keeps moving correctly long after the launch date, not just on the day it goes live.
- API integration
- SaaS & ERP integration
- Middleware
- Event-driven design
- Data synchronisation
- Enterprise architecture
The hard problems usually live between systems, not inside them.
Each platform in your landscape probably works. The vendor supports it, the team knows it, and on its own it does what it was bought to do. The failures happen in the space between them — where a record is transformed, a field is mapped, a job runs on a schedule, and nobody owns the result end to end.
That gap is where we do some of our most useful work. An integration is not finished when data moves successfully once; it is finished when it keeps moving correctly under real volumes, real edge cases, real master-data inconsistency and real failure — and when someone can tell within minutes if it stops.
We design integrations to be observable and recoverable, not just functional. That means explicit error handling, retries that do not duplicate records, reconciliation you can run, and logging that answers the question actually being asked: did everything that should have arrived, arrive?
What you get
What integration work looks like here.
API integration
Connecting to REST, GraphQL, SOAP and file-based interfaces — including the ones with poor documentation, undocumented rate limits and inconsistent behaviour under load.
SaaS & ERP integration
Wiring commercial platforms into the rest of the landscape, working within what each vendor actually supports rather than what the datasheet implies.
Middleware & orchestration
The coordinating layer that sequences work across systems, handles partial failure, and keeps a single view of what has and has not been processed.
Event-driven integration
Queues, events and asynchronous flows where systems need to stay in step without being tightly coupled to each other's availability.
Transformation & mapping
Turning one system's model into another's — field mapping, reference data, validation rules and the exception paths for records that do not conform.
Data synchronisation
Keeping records aligned across systems, with a defined source of truth, conflict rules and a way to prove the two sides still agree.
How we approach it
Design the contract before you write the connector.
Map
Establish which systems are involved, what data moves, in which direction, on what trigger, and who owns each record.
Design
Define the interface contract, the transformation rules, the failure behaviour and the source of truth — before building anything.
Build
Implement it with validation, idempotency and explicit error paths, so a retry never creates a duplicate and a bad record never silently vanishes.
Instrument
Add the monitoring, alerting and reconciliation that tell you the integration is healthy — or tell you first when it is not.
Operate
Support it as volumes grow and the connected systems change underneath it, because they always do.
When this is the right fit
When integration is the work.
If more than one of these is true, this is usually where a conversation should start.
- The same data is entered into more than one system by hand.
- An existing integration fails intermittently and no one can say why.
- Month-end includes reconciling two systems that are supposed to agree.
- A vendor's standard connector covers eighty per cent of what you need.
- You are adding a platform and need it to work with what you already run.
- Nobody can currently answer whether everything that should have transferred, transferred.
Related
Where this connects.
Integration Rescue
If an integration is failing right now, this is the fast, senior-led path to a diagnosis and a stable system.
Finance & Enterprise Systems
ERP, procurement and finance operations — our deepest area of platform-specific expertise.
Automation & AI
Once systems are connected, the manual steps between them usually become the next thing worth removing.
Have systems that should be talking and are not?
Tell us which platforms are involved and what needs to move between them. We will come back with a view on the approach, the risks and what it would take.