Third-party API integration
Payment providers, carriers, tax engines, identity providers and marketplaces — including the ones with poor documentation and no sandbox.
Making the systems you already paid for behave like one platform — reliably, observably, and without a spreadsheet in the middle.
Most organisations do not have a software problem; they have a seams problem. Orders live in one system, inventory in another, finance in a third, and the truth is reconstructed manually every month by someone who has become a single point of failure.
We close those seams with explicit contracts, idempotent processing and monitoring that tells you a sync failed before your customers do — rather than with another nightly CSV export nobody owns.
Every interface gets a versioned schema, so an upstream change is a deliberate decision rather than a silent outage.
Idempotent handlers, dead-letter queues and replay tooling, because integrations fail and recovery has to be boring.
Correlation IDs across every hop, so 'where did this order go' takes two minutes rather than two days.
Point-to-point connections, full middleware layers, or untangling the integrations that grew organically over ten years.
Payment providers, carriers, tax engines, identity providers and marketplaces — including the ones with poor documentation and no sandbox.
Two-way sync with clear conflict-resolution rules, so two systems disagreeing about a record has a defined outcome instead of a support ticket.
Event-driven backbones on Kafka, Azure Service Bus or RabbitMQ that decouple producers from consumers and survive one system going down.
Bridging mainframes, on-premise ERP and file-based interfaces into modern APIs without touching the system of record.
Batch and streaming pipelines into warehouses and lakes, with lineage and data-quality checks that fail loudly rather than silently.
Automated reconciliation jobs and alerting that catch drift between systems before finance does at month end.
Every system, interface, batch job and undocumented script that moves data today — including the ones only one person knows about.
Canonical models, event schemas and error semantics agreed with the owners of each system before implementation begins.
New flows run alongside the existing ones, with outputs compared automatically until they agree for a full business cycle.
Old flows retired one at a time, each with dashboards, alerting and a documented rollback path.
Hours of monthly matching disappear, along with the risk of it all living in one person's head.
A stuck queue or rejected payload raises an alert with the payload attached, instead of surfacing as an angry customer call.
Systems talk through documented contracts, so replacing one of them stops meaning re-cutting every other integration.
Usually. Options include a database-level change-data-capture feed, a file-based interface on a scheduled drop, screen-level automation as a last resort, or a thin API facade we build and host alongside the legacy system. We will tell you upfront which of those a given system realistically supports and what each one costs to operate.
Whichever is cheaper to own over three years. Licensed platforms such as MuleSoft or Azure Integration Services earn their fee when you have dozens of interfaces and a team to run them; for a handful of flows, well-tested code on infrastructure you already pay for is usually the better economics. We model both before recommending.
Every handler is idempotent and keyed on a business identifier, so re-delivery is safe by design. Failed messages land in a dead-letter queue with the original payload and error, alert the owning team, and can be replayed once the cause is fixed. No integration we build silently drops a message.
Book a free consultation call. You will speak to a senior architect, not a salesperson, and leave with a technical direction and a realistic budget band — before you commit to anything.