Skip to content
Scale Lab IT
Scale Lab IT
Automation & AIAUTOMATE

System integrations

Your business systems connected, so information is entered once and appears wherever it is needed.

Discuss your integrationsSee how it works
  • Built around your process
  • Connects to your existing tools
  • Grows as you grow
System integrations
API connectionsWebhooksSystem integrationsData synchronisationThird-party platforms
  • Data mapping
  • Error handling
  1. Event in system A
  2. Data mapped
  3. Sent to system B
  4. Confirmed
Illustrative system map, not a client product

The problem

Each tool works on its own. People become the link between them, exporting, copying and re-entering data.

  • Website orders are retyped into the accounting software.
  • The CRM and the billing system hold different details for the same customer.
  • Stock in the warehouse system differs from stock on the online store.
  • A report needs exports from four tools, combined by hand.

Duplicate entry costs hours every week, and mismatched records lead to wrong decisions.

The solution

Your business systems connected, so information is entered once and appears wherever it is needed.

  • API connections

    Direct links between systems that offer an interface.

  • Webhooks

    Instant updates when an event happens in one system.

  • Data synchronisation

    Scheduled or real-time sync, with rules for which system wins.

  • Third-party platforms

    Payment gateways, couriers, messaging, ad and accounting tools.

Workflow

How it works

  1. 01

    Event in system A

    An order, payment or update is recorded.

  2. 02

    Data mapped

    Fields are converted to what the other system expects.

  3. 03

    Sent to system B

    The record is created or updated through its API.

  4. Confirmed

    Success is recorded; failures are retried and reported.

What we build

Key features and modules

  • API connectionsDirect links between systems that offer an interface.
  • WebhooksInstant updates when an event happens in one system.
  • Data synchronisationScheduled or real-time sync, with rules for which system wins.
  • Third-party platformsPayment gateways, couriers, messaging, ad and accounting tools.
  • Data mappingFields matched and formats converted between systems.
  • Error handlingRetries, alerts and a queue for records that fail to send.

Deliverables

What you get

  • Integration map of your systems
  • Working connections with documentation
  • Field mapping and sync rules
  • Error log and alerting
  • Test results for each data flow
  • Handover notes for future changes

Scope and price are confirmed in writing after a free call.

Illustrative scenarios

How it looks in practice

  • Retail & E-commerce

    An online order creates the invoice in accounting, reduces stock in the inventory system and books the courier, without anyone copying the order.

  • Healthcare

    A clinic's booking system and its billing software share patient records, so reception registers a patient once.

These scenarios show how the service applies in a business like yours. They are not client results.

Why Scale Lab IT

One method behind every project.

  • BUILDConnections designed around your data, not a generic connector.
  • AUTOMATEInformation moves between systems the moment it changes.
  • SECURECredentials stored safely; only the needed data is shared.
  • SCALENew tools join the same structure instead of adding more manual links.

Implementation

How the project runs

  1. 01System inventoryWhich tools you use and what each can connect to.
  2. 02Data flow designWhat moves where, when, and which system is the source.
  3. 03BuildConnections developed with mapping and error handling.
  4. 04TestingEach flow tested with real records and failure cases.
  5. 05Go-live and monitoringFlows switched on in stages; logs watched during the first weeks.

Connected services

Works better with

Common questions

Can any two systems be connected?

Most can, if at least one offers an API, a webhook or a file export. We check this first and tell you plainly when a system cannot be integrated well.

What happens if one system is offline?

Records wait in a queue and are sent when it returns. Repeated failures raise an alert.

Which system holds the correct data?

We agree a source of truth for each type of data, such as customers, prices and stock, so conflicts are resolved by rule.

Will this slow our systems down?

No. Integrations run in the background and are scheduled to respect each system's limits.

Let's talk

Let's map how your systems should share data.

Tell us how you work today. We will reply with a clear next step.

Discuss your integrations