Contact
All systems System

Integrations and automation

API integrations, event-driven workflows and background jobs that connect your systems, with retries, dead-letter queues and monitoring. Each type of data has one source of truth, and a failed step is visible and can be recovered.

Describe what you need

What you get

  • An integration map: which systems exchange which data, how, and which processes depend on it
  • API integrations with authentication, error handling and versioning
  • Event-driven workflows, triggered by changes in the source system
  • Background jobs on message queues, with retries and a dead-letter queue for work that cannot be recovered
  • Monitoring that shows whether each integration is working or failing, with alerts when a person needs to act
  • Documentation of each flow, its triggers and its failure handling, for handover

How it works

  1. 01

    Map the integrations

    We record how the systems exchange data today, where it breaks, and which processes depend on each integration.

  2. 02

    Design flows and failure handling

    For each flow we set the source of truth, the trigger, the timing and ordering, and a planned response to each failure mode.

  3. 03

    Build the integrations

    We build API integrations, event-driven workflows and queued background jobs with retries and dead-letter queues. Where a plain rule or script is not enough, a step can use AI for summarisation, routing or decision support.

  4. 04

    Set up monitoring

    We add monitoring that shows whether each integration is working or failing, with alerts when a person needs to act.

  5. 05

    Document and hand over

    We document each flow as built, with its triggers and failure handling, so the next person can operate it without guesswork.

Problems it solves

  • ProblemTwo connected systems drift out of sync over time, and the mismatch surfaces only when a customer complains.

    SolutionWe make one system the source of truth for each type of data and define how changes propagate to the others, including timing and ordering.

  • ProblemA process keeps running only because someone logs in every day to click a button, run a script or copy data.

    SolutionWe replace the manual steps with event-driven workflows, triggered by changes in the source system. Manual handling is left for exceptions.

  • ProblemA cron job that has run for three years stops after a library update, and nobody knew it was critical.

    SolutionWe find the scripts that business processes depend on and rebuild them as API integrations with authentication, error handling and versioning.

  • ProblemUnder load, or when the receiving system is down, updates are dropped silently and nobody knows they are missing.

    SolutionWe move the work into background jobs on a message queue. Failed work is retried, and work that cannot be recovered goes to a dead-letter queue with an alert.

What it covers

  • Authenticated, versioned API integrations
  • For examplen8n, Temporal, Azure Logic Apps, AWS Step Functions
  • For exampleRabbitMQ, Kafka
  • Dead-letter queues with alerts
  • Data sync with one source of truth
  • Monitoring of each integration
  • AI steps for summarising and routing
Typical scope

Typical engagements run 2–6 weeks, depending on how many systems are in scope, how complex the current integrations are, and whether we stabilise them or build new ones.

Next step

Send a short description of what you need and the systems involved. We reply with proposed next steps.

Describe what you need