Process automation: less routine, fewer mistakes

We connect siloed systems into predictable chains: events, retries, compensations, alerts — from one critical flow to an integration platform.
Walk through a scenario

Coverage

Analysis & modeling

AS-IS/TO-BE, effect metrics, boundaries between systems and humans.

Implementation

Go/Python services, Temporal/n8n where fit, queues, idempotent workers.

Operations

Dashboards, SLOs, dead-letter handling, message schema versioning, runbooks.

How we work

  • 1.

    Pick a pilot process with measurable KPI.

  • 2.

    Design contracts and checkpoints.

  • 3.

    Build and test — load/chaos when needed.

  • 4.

    Go-live, training, iterations.

Deliverables

  • Working pipelines and Git-hosted code.
  • Data-flow diagrams and integration map.
  • Monitoring and alerts.
  • Docs for second-line support.

Estimates

Single-scenario pilots from a short sprint; integration platforms are longer engagements. Quote after workshop.

Pairs well with Kubernetes and high-load practices when traffic grows.

Automation FAQ

Where it accelerates delivery; critical paths stay in tested code.

Adapters, contract versioning, gradual move to REST.

Contracted for supported connectors when agreed.

Runs on your estate; secrets in your vault.

Parallel paths and feature flags where applicable.

Yes — Mattermost, Telegram bots for alerts, corporate messengers via API.

Automate what actually burns hours every week

Send a process sketch — we will size the work.
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