The problem this solves
Integrations built without documented design decisions fail quietly: two systems both think they own a field and overwrite each other, a sync loop burns through API capacity until rate limits hit, errors vanish into a log nobody reads, and finance finds the data mismatch months later. The demo worked; production is where undesigned integrations go to die.
How we work
We map the integration landscape first: which systems exchange what data, in which direction, on what trigger, and which system is the source of truth per field. That includes the local stack reality of ERPs, invoicing, and e-commerce platforms, not just SaaS tools with polished native connectors.
Each integration then gets a specification: field mappings and transformations, conflict resolution rules, sync frequency budgeted against API rate limits, idempotency on writes, error handling, alerting, and monitoring. Rate limits are a real design constraint we have hit in production, and behavior at the limit is not intuitive, so we design for it upfront rather than debug it later.
Finally, tooling gets decided per flow: native connector, middleware, or custom code, with the reasoning tied to volume, transformation complexity, and who maintains it after launch.
Deliverables
- Integration architecture diagram
- Per-integration field mapping and transformation specifications
- Source-of-truth and conflict resolution rules
- Error handling, alerting, and monitoring design
- Rate limit and volume analysis
- Tooling recommendation per flow: native, middleware, or custom