APIs and integrations

Engineering and Development

APIs and integrations

When two systems must talk, the pain is rarely “just technical” — it is duplicated data, bad sync timing, or errors nobody can decode. Viscale designs and ships APIs and integrations with business language in the room: what can fail, what must never be lost, and how support finds the break quickly.

Good integrations feel invisible: the order is born in the store, lands in finance, and the customer gets the right email. Bad ones become shadow spreadsheets, late-night calls, and fear of clicking anything. We document contracts (inputs, outputs, formats), handle errors predictably, and avoid storing sensitive data where it is not needed.

Everyday examples

Store and warehouse in sync

Online sales update quantities in the system the warehouse already trusts.

Payment confirms the order

The gateway signals success and the order status updates automatically.

Site lead becomes a CRM opportunity

Forms push the right fields to sales without copy-paste.

Mobile app and central server

Phone screens read the same source of truth as the web dashboard.

Partner reads authorized data

External API with clear limits: only what the contract allows.

Ping when something important happens

Webhook or queue: contract signed, invoice issued, or VIP signup.

Read from a legacy system

New product consumes old data without forcing a big-bang migration day one.

One dashboard, two sources

Finance plus operations in a single view for leadership.

Partner catalog API

Price and availability with simple auth and access logging.

Replace a broken connector

Vendor changed formats: we rewrite with tests and a clean cutover plan.

Security is part of the default: strong credentials or expiring tokens, least privilege, and a simple audit trail when the business requires it. When a vendor changes their API, you get a map of what to update — not a mystery spread across ten folders.

We exercise critical flows before production (payments, stock, customer records) and leave sample calls and typical responses so the next developer is not starting from scratch. When volume grows, we add queues or reprocessing so peaks do not freeze the line.

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Deliverables

Production integration

Agreed flows live with HTTPS and correct credentials.

Private Git repository

Versioned connector or service with README.

Contract documentation

URLs, methods, fields, sample requests and responses.

Error playbook

Simple table: symptom → likely cause → action.

Credential register (outside Git)

Where keys live and who can access each environment.

Test execution report

Scenarios and outcomes before production cutover.

Basic security checklist

Least privilege, encrypted transit, sensitive data handling.

Alert configuration

Repeated failures, slow responses, or stuck queues.

Reprocessing runbook

Replay a failed batch without double-charging.

Legacy connector retirement plan

When replacing old glue, with rollback window.

Handoff session

Q&A with the team that owns day-two operations.

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Execution methodology

  1. Systems map

    What exists today, who owns each dataset, and the pain this integration fixes.

  2. Target flow in business language

    Step-by-step before jumping into code.

  3. API or file contract

    Required fields, date formats, and error behavior.

  4. Build and test environment

    New connector or endpoint against a safe copy or sandbox.

  5. Security and credentials

    Least privilege, expiring tokens, secrets outside source control.

  6. End-to-end tests

    Real scenarios with realistic volume when possible.

  7. Human-readable docs

    Sample calls, common errors, and vendor contacts.

  8. Launch and monitoring

    Checklist plus alerts if failure rates spike.

  9. Vendor change plan

    API version, cutover date, regression window.

  10. Quick training

    Support or internal IT knows where to look when things break.

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