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Service

API and system integrations

We connect CRM, ERP, storefront, accounting, payments and couriers so data travels once, in one direction, without manual re-entry.

A successful integration shows up as nobody copying data between systems any more. A failed one shows up as somebody checking manually, every morning, whether the sync actually ran.

What we connect most often

  • Online store with an ERP or inventory system, for stock and pricing.

  • Forms and leads with a CRM: HubSpot, Pipedrive, Salesforce or a bespoke one.

  • Invoicing and accounting, including local systems in Moldova and Romania.

  • Payment processors: Stripe, PayPal and local banks.

  • Couriers and logistics, with label generation and shipment tracking.

  • E-signature, transactional email and messaging platforms.

How we build an integration that holds

  1. Establish the source of truth for every field; without it, any sync produces conflicts.

  2. Document field mapping and transformation rules in a document the commercial side can also read.

  3. Handle failure explicitly: retry with backoff, an error queue, an alert to a named owner.

  4. Guarantee idempotency: the same message received twice does not create two orders.

  5. Test on a separate environment with realistic data before touching production.

When we recommend a middle layer

Once you connect more than three systems, point-to-point integrations quickly become a web nobody can maintain. At that point we build an integration layer with clear contracts, so replacing one system does not mean rewriting every other connection.

No-code automation, where it is enough

For simple flows we use n8n or Make; they cost less and the internal team can change them. We move to custom code when volume, error handling or audit requirements exceed what an automation platform can offer.

What the service includes

  • REST, GraphQL, SOAP and file-based integrations
  • Webhooks with automatic retry on failure
  • Documented field mapping
  • Two-way synchronisation without loops
  • Monitoring and alerting on failure
  • A test environment separate from production
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