System integration
Stop copying data between systems that should talk to each other.
When a CRM, an accounting tool, an e-commerce platform, and an internal database do not share data automatically, someone ends up doing it by hand. We build the integration layer that removes that work — reliably, and with a visible record of what moved and when.
Problems this solves
Signals an integration is worth building
The same record — a customer, an order, an invoice — is entered manually into more than one system.
Reports require manually combining exports from several systems.
A change in one system (a new customer, a paid invoice) should trigger an action in another, but currently does not.
Existing point-to-point scripts are fragile, undocumented, or have no error handling.
Nobody can currently say what data moved between two systems last week, or whether it succeeded.
What we deliver
A defined data flow
Clear mapping of what moves between which systems, in which direction, and how often.
Reliable transfer
Retries, error handling, and alerts for failed transfers, instead of silent data loss.
A visible audit trail
A record of what moved, when, and from where — for troubleshooting and compliance.
Documentation the team can maintain
A clear reference for what the integration does, so it does not depend on one person's memory.
How the engagement works
From disconnected systems to a reliable data flow
- 01
Map
Identify which systems need to share data, in which direction, and how urgently.
- 02
Design
Choose the integration pattern — scheduled sync, real-time, or event-driven — that fits the actual need.
- 03
Build with error handling
Implement the integration with retries, logging, and alerting from the start, not as an afterthought.
- 04
Monitor and maintain
Watch for failures after launch and adjust as the connected systems change.
Relevant technologies
Matched to the systems being connected
Orchestration
- n8n
- Custom integration services
Data
- REST and GraphQL APIs
- Webhooks
- PostgreSQL
Reliability
- Retry logic
- Dead-letter queues
- Alerting
Security and operational considerations
What we account for by default
Credentials for connected systems stored securely, never exposed in logs or client-side code.
Least-privilege API scopes for every connected system.
Retry and dead-letter handling so a temporary failure does not silently lose data.
Alerts when an integration fails or falls behind expected volume.
A documented data flow so any engineer can understand what the integration does.
FAQ