System integration connects separate applications so data moves between them automatically. It covers building or consuming APIs, mapping data between different models, handling failures and retries, and monitoring the flow so problems surface immediately rather than being discovered by a customer.
Integrations fail; design for it
The naive integration works perfectly in testing and breaks in production, because networks time out, third parties rate-limit, and one system accepts data the other rejects. Without retry logic, dead-letter queues and alerting, these failures are silent — and silent data loss is discovered weeks later by a customer.
So a serious integration is mostly failure handling. Idempotent operations so retries do not duplicate, queues so a downstream outage does not lose messages, reconciliation so you can prove both sides agree, and monitoring that pages someone.
Process
How we deliver it
Process flow for API & system integration
01
Map the data
Fields, formats, and which system is authoritative for each.
02
Design for failure
Retry policy, queues, idempotency and dead-letter handling.
03
Build and test
Including deliberate failure injection, not just happy path.
04
Add monitoring
Throughput, error rate and alerting on stalls.
05
Reconcile
A periodic check proving both systems still agree.
Deliverables
What you receive
Working integrations with documented data mapping
Retry, queueing and dead-letter configuration
Monitoring dashboard and alerting rules
Reconciliation reporting between systems
API documentation where we build a public interface
Engagement shape
Priced per integration after a mapping workshop. Simple connections take weeks; legacy systems without APIs take longer and we scope that separately.
Stack decisions follow the problem. This is where we usually start, not a fixed menu.
Frequently asked
Questions we get about this
Our legacy system has no API. Is integration possible?
Usually, through database-level access, scheduled file exchange, or screen automation as a last resort. Each has trade-offs in reliability and fragility, and we will tell you plainly which we are proposing and what it will cost you in maintenance.
How do we know the integration is working?
Monitoring and reconciliation. A dashboard showing throughput and errors, alerts when volume drops unexpectedly, and a periodic reconciliation report proving record counts still match. 'No news is good news' is not a monitoring strategy.
Talk it through before you commit
A discovery call is a working session on your constraint, not a sales pitch.
