Business process automation. For the workflows that cannot fail quietly.
For high-volume or business-critical processes, we build coded workflows with proper monitoring, retries, permissions and an audit trail.
For finance, operations and service teams whose processes involve money, compliance or customers, and have outgrown spreadsheets and no-code tools.
Business process automation
We map the process end to end, decide where rules are enough and where AI adds value, and build a workflow service with repeat-safe steps, bounded retries, human approval for consequential actions and dashboards that show what happened. Everything is documented and runs in your environment.
- (01)Approval before consequential actions
- (02)Retries without duplicate actions
- (03)An audit trail for every step
- (04)Dashboards and alerts
Tools we use for this.
- TypeScript
- Python
- PostgreSQL
- Temporal
- n8n (self-hosted)
- Docker
We choose the stack that fits your requirements. Tool names describe our skills, not partnerships.
Sprint.
4 weeks.
Four weeks on one goal, with working software at the end.
Included
- (01)Process mapping and baseline
- (02)Workflow service with tests
- (03)Approval steps and permissions
- (04)Monitoring, alerts and audit log
- (05)Deployment in your environment
- (06)Runbook and team training
Not included
- (01)Changes inside third-party systems we cannot access
- (02)Hosting and licence costs
- (03)Process redesign beyond the agreed workflow
How it runs
- (01) · Week 1
Discover
Map the workflow, measure the baseline and agree acceptance criteria.
- (02) · Weeks 2–3
Build
Implement, test against real cases and add controls.
- (03) · Week 4
Launch
Run with human review first, then hand over.
Also available as: Build & Support (Staged, ongoing). Compare the formats.
How is this different from no-code automation?
Coded automation gives you version control, automated tests, stricter permissions and better handling of volume and failure. It suits processes where errors are expensive.
Do you replace our existing systems?
No. We automate the work between them, reading from and writing to the systems you already use where their APIs allow it.
What happens when something fails?
Failures are visible, retried within limits and escalated to a named person, with a manual fallback documented in the runbook.