Systems Integration & APIs
Make the systems you already pay for behave as one.
The tools are rarely the problem. The gaps between them are. Data gets re-keyed between a CRM and an accounts system, a spreadsheet becomes the integration layer, and nobody is quite sure which system holds the truth.
Integration work is mostly about the unglamorous parts: idempotency so a retry does not duplicate, deduplication so a re-run does not create a second record, back-off so a rate limit does not become a lost message, and a run log so a failure is diagnosable rather than mysterious.
Where a platform has no connector, we write one: a documented, token-secured REST API over your own data that other tools can call.
What you end up with
One record, one home
A decided system of record per entity, with syncs that flow in a known direction rather than two tools overwriting each other.
Retries that do not duplicate
Idempotency keys, unique constraints and find-or-create semantics, so running the same job twice leaves the same result.
Custom connectors
A token-secured REST API and outbound webhooks over your own systems, so a platform without an integration gets one.
Legacy data recovered
Parsers for the formats nobody supports any more: proprietary desktop files, protobuf blobs inside SQLite, exports from a tool you are leaving.
What actually lands
Shaped to the engagement, but this is the shelf it comes off.
- 01Integration architecture: systems of record, data flow direction, failure modes
- 02Webhook receivers and outbound webhook publishers
- 03REST APIs over your data, bearer-token secured and documented
- 04Document and file parsers, including bespoke and legacy formats
- 05Historical data migration with reconciliation against a known-good source
- 06Run logs, retry policy and alerting on failure
Where this has shipped
Integration & APIs, specifically
Rarely. Between file-based exchange, scheduled exports, email parsing, and in the last resort headless browser automation, there is usually a supportable path. What matters is being honest about which of those is robust and which needs monitoring, and choosing deliberately rather than discovering it later.
By reconciling against something you can independently verify. On one migration we decoded three years of books out of a proprietary desktop format, then calibrated the date epoch against a known paper invoice and checked that a specific document decoded to the right date with all seven line items matching the printed amounts exactly. Loads are idempotent, so a re-run corrects rather than duplicates.
In environment variables or a server-side vault, never in the automation body or the browser bundle. On builds where a token is account-wide and therefore dangerous, it is isolated in a single server process, and importing that module from client code is made a build error rather than a code-review note.
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Where this is applied
Tell us about the process that keeps costing you.
A 15-minute call is usually enough to say whether this is an automation, an integration, or something that should be built, and whether we are the right people for it.
What happens on the call
- 15 minutes, no deck
- We map the process on the call
- A written scope, or an honest no