Service

Automate the work, not the workaround.

Workflow orchestration, internal tooling and data pipelines for the processes your team holds together by hand. We map how the work actually runs — exceptions and all — then take out the steps that should not exist and leave judgement where it belongs.

The Problem

Automation fails before the code does

The usual cause is not engineering. It is building against the process people describe in a meeting rather than the one they run on a Friday afternoon with three things on fire.

  1. 01

    Exceptions were never in scope

    The happy path is the easy part and it gets built first. The cases people handle from memory do not, so every unusual invoice, refund or approval lands back in an inbox marked urgent.

  2. 02

    One person owns the script

    A macro or a cron job written by someone who has since moved on. It works until it does not, and nobody left can say what it touches or whether switching it off is safe.

  3. 03

    The step moved, it did not go

    A new platform arrives and the team updates two systems where it used to update one. The hours were never returned, and the business case quietly evaporates.

The Approach

Design against what actually happens

A flowchart is not a specification. The first phase produces a written picture of the real path, the detours inside it, and a frank view on which of those steps should exist at all.

  1. 01

    Shadow a full cycle

    We follow the process through a complete run, including the month-end version that behaves differently, and write down every decision a person makes along the way.

  2. 02

    Automate what earns it

    Some steps should stay manual because judgement is the point, and we will say which ones. A short set of flows people trust is worth more than a catalogue nobody dares rely on.

  3. 03

    Agree what it costs today

    Before anything is built we record what the process takes now, in your team's own count of hours and handoffs. Without that, nobody can judge later whether the flow earned its place.

Capabilities

Six kinds of automation we build

These overlap in practice — a document pipeline needs a review console, and a console is worth little without alerting — so we scope them as one piece of work.

  • Workflow orchestration

    Multi-step processes coordinated across systems, with retries, idempotency and dead-letter handling, so a failed run is something you replay, not something you investigate.

    • Job queues
    • Retries & DLQ
    • Scheduling
  • Internal tooling

    Operations consoles and admin panels that retire the shared spreadsheet, with roles, validation at the point of entry and an audit trail attached to every change.

    • Admin panels
    • Roles & audit
    • Ops consoles
  • Document pipelines

    Intake, extraction, validation and routing for invoices, forms and contracts, with a review queue for anything the pipeline is not confident enough to pass on its own.

    • Intake & OCR
    • Validation
    • Review queues
  • Data movement and sync

    Scheduled and event-driven transfer between systems, with schema checks and reconciliation, so two records of the same thing cannot drift apart unnoticed.

    • Sync jobs
    • Reconciliation
    • Schema checks
  • Scripted operations

    The recurring engineering chores — reports, backfills, provisioning, cleanups — turned into versioned, reviewable jobs that no longer live in one person's terminal history.

    • Runbooks
    • Scheduled jobs
    • Backfills
  • Alerting and escalation

    Rules that notice when a job dies, a queue backs up or a number stops moving, then reach the right person with the input, the run and the error already attached.

    • Monitoring
    • Escalation
    • Reporting

Technologies

The stack behind the flows

Tool choice follows the process, not the other way round. These are what we reach for most often, and we will run on what your team already operates when that is the sensible option.

Orchestration

  • Temporal
  • Apache Airflow
  • Prefect
  • Celery
  • BullMQ
  • n8n

Services and runtimes

  • Python
  • TypeScript
  • Node.js
  • Go
  • FastAPI
  • AWS Lambda

Data and messaging

  • PostgreSQL
  • Redis
  • Apache Kafka
  • RabbitMQ
  • dbt
  • Amazon S3

Operations

  • Docker
  • Kubernetes
  • Terraform
  • GitHub Actions
  • Grafana
  • OpenTelemetry

How we work

How a process gets automated

  1. Step 01

    Process mapping

    We sit with the people doing the work and document the path, the waiting and the places they improvise. What we write goes back to them for correction before anyone calls it accurate.

  2. Step 02

    Candidate ranking

    Each step is weighed on frequency, time spent, cost of getting it wrong and how stable its rules are. That produces a shortlist, and an equally clear list of what to leave alone.

  3. Step 03

    One flow end to end

    We automate a single path completely and run it beside the manual process. Real inputs surface behaviour no interview does, and the design absorbs it before we widen.

  4. Step 04

    Hardening

    Permissions, rate limits, structured logs, an owner to notify when something breaks, and a documented way to do the process by hand. A flow is not finished until failing safely is part of how it behaves.

  5. Step 05

    Handover

    Your team gets the runbook, the dashboards and the ability to change thresholds and recipients without calling us. Then the next process on the shortlist, with what we learnt already applied.

Start with one process.

Bring the one that eats the most hours. We will walk it with you, say plainly whether automation is the right answer, and set out what doing it properly would take.