Service

API Integration

Stop exporting from one system to import into another. We build the connection, including the parts that go wrong.

Integration looks simple until you handle the real cases: the API rate-limits at 3am, a record is updated in both systems at once, a webhook fires twice, or a field that was always populated suddenly isn't.

We build integrations that survive those situations. Idempotent writes so replays are harmless, a durable queue so nothing is lost when the target is down, conflict rules agreed with the business rather than invented by the developer, and a reconciliation job that catches drift.

Most integrations are live in one to three weeks — including the monitoring that tells you when something needs attention.

Problems this solves

What we usually walk into

  • Someone exports a CSV from the CRM every Friday to import into the ERP.
  • Two systems hold contact records that quietly diverged months ago.
  • An off-the-shelf connector covers 80% of fields and nobody handles the rest.
  • When a sync fails, no one finds out until a customer complains.

Technologies

What we build with

REST and GraphQL APIsWebhooksNode.js / PythonAzure FunctionsZapier / MakePostgres queues

Industries that benefit

  • Professional services
  • E-commerce
  • Manufacturing
  • Healthcare
  • Real estate

Implementation process

How the engagement runs

  1. 01

    Field mapping

    A signed-off mapping document covering direction, transformation, and what wins in a conflict.

  2. 02

    Connection build

    Authentication, pagination, rate-limit handling, and incremental sync on change timestamps.

  3. 03

    Reliability layer

    Queue, retries with backoff, dead-letter handling, and idempotency keys.

  4. 04

    Reconciliation

    A scheduled job that compares both systems and reports drift instead of assuming success.

  5. 05

    Monitoring

    Alerting on failures, backlog depth, and syncs that stop unexpectedly.

Sample screens

What the finished work looks like

Representative layouts using demonstration data — client work is never shown without written permission.

Sync monitor

Synced/day

24K

Errors

3

Lag

40s

Sync monitor

Records synced per system with backlog and error counts.

System coverage

Systems

6

Objects

19

Fields

312

System coverage

Objects and field counts mapped per connected platform.

Reconciliation drift

Match

99.99%

Drift

2

Resolved

auto

Reconciliation drift

Daily comparison of record counts across both sides.

Illustrative example

How a api integration engagement typically plays out

Anonymised scenario · not a verified client record

B2B manufacturer with an outside sales team

Challenge

Sales worked in HubSpot, operations in NetSuite, and a coordinator spent roughly ninety minutes a day re-keying won deals into sales orders — with a steady trickle of typos reaching production.

Solution

A one-way sync from HubSpot to NetSuite with a mapped product catalog, idempotent order creation keyed on deal ID, a dead-letter queue for validation failures, and a nightly reconciliation report.

Result

Order entry became automatic within seconds of a deal closing, and transcription errors in production orders stopped.

Illustrative figures

90 min/day

Re-keying removed

<60s

Deal to sales order

0

Transcription errors

This is a composite illustration of the scope, approach, and range of results this service is designed to deliver. It does not describe a specific named client, and the figures are demonstration values rather than audited outcomes. We're happy to talk through real references under NDA on a call.

Deliverables

What you receive

  • Signed field-mapping and conflict-rules document
  • Deployed bidirectional or one-way sync service
  • Retry, dead-letter, and replay tooling
  • Daily reconciliation report
  • Failure alerting and operations runbook

FAQs

Questions we get asked

Which systems have you connected?
Salesforce, HubSpot, Dynamics, NetSuite, QuickBooks, Shopify, Stripe, Jira, and a long tail of industry-specific platforms.
Should we use Zapier instead?
For low-volume, low-stakes flows, absolutely — we'll tell you when that's the right call. Custom becomes worthwhile once volume, field count, or error handling grows.
One-way or two-way sync?
One-way wherever possible. Two-way is doable but requires explicit conflict rules, which we work through with you first.
What happens when the vendor changes their API?
Contract tests catch breaking changes on deploy, and versioned endpoints give a migration window. We can hold a support retainer for this.

Talk through your API Integration project

A 30-minute call is usually enough to tell you whether this is a two-week fix or a two-month build — and roughly what it costs.