People are rekeying the same information
Orders, customers, payments or fulfilment details are copied manually between systems, creating delay and avoidable errors.
APIs & systems integrations
Integrations designed for the failure cases, not just the happy path.
Reliable connections between the systems a business depends on. Data is validated, failures are visible and important operations are designed to recover when an external service is slow, unavailable or inconsistent.
Useful when
The problem is affecting real work.
An existing integration fails silently
The connection works most of the time, but nobody knows when records are missed, duplicated or left in an uncertain state.
A new platform must fit the wider operation
A CRM, accounting package, courier or ERP needs to exchange data without becoming another isolated source of truth.
What the work can cover
A focused scope, shaped around the system.
API contracts and authentication
Clear handling of endpoints, credentials, permissions, rate limits and versioned external behaviour.
Data mapping and validation
Explicit rules for identifiers, formats, ownership and what should happen when information is incomplete.
Queues, retries and idempotency
Background processing that can recover safely without losing work or creating duplicate transactions.
Webhooks and event handling
Fast acknowledgement, secure validation and dependable follow-up processing for external events.
Monitoring and reconciliation
Logs, alerts and tools that make failed or mismatched records visible and recoverable.
Sandbox and end-to-end testing
Test scenarios covering success, rejection, timeouts, repeated messages and partial failure.
How the work progresses
Establish ownership
Decide which system owns each piece of data and define the states a record can move through.
Build for interruption
Assume networks fail and external APIs change, then make those conditions manageable.
Observe the live flow
Release with the logging, alerts and reconciliation needed to confirm the integration is behaving correctly.
The intended outcome
Less manual handling and fewer invisible failures between systems.
A good integration does not merely pass a successful test request. It makes day-to-day data movement dependable and gives the team a practical route when something goes wrong.
New integrations, inherited connections and replacement of fragile scheduled imports are all suitable starting points.
Credentials and sensitive data are handled deliberately, with the minimum access and logging required for safe operation.
Start with the problem