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 scenarioCoverage
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.
Further reading
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.