Boundary
Define the single workflow, explicit start/end states and what remains outside the build.
Service
Production Workflow Build
Replace one bounded recurring process with a monitored production system.
Best fit
A process with a clear owner, stable trigger, measurable volume, available system access and an agreed exception path.
Buyer outcome
A deployed, tested workflow with integrations, custom logic, validation, retries, alerts, runbooks and team handover.
Deliverables
What leaves the engagement.
Concrete artifacts, a clear operating boundary and enough documentation for the team to own the result.
01
Current and target process map
02
Integration and credential setup
03
n8n, Temporal or custom orchestration
04
Custom TypeScript/Python components
05
Input and output validation
06
Retries, alerts and error queue
07
Representative test fixtures
08
Deployment, documentation and training
How the work moves
Four deliberate stages.
Representative path
Build an end-to-end execution using real-shaped but safe test data.
Failure design
Exercise duplicate triggers, provider outages, invalid AI output and human timeout.
Production handover
Deploy, observe initial runs, train the owner and document replay and escalation.
Engagement boundaries
Clarity before commitment.
- One bounded process, not an open-ended transformation programme.
- Tool choice follows workflow needs; n8n is common, not mandatory.
- High-impact writes require explicit controls and often human approval.
“Use deterministic automation wherever possible. Insert AI only where language, extraction or judgment makes it earn its cost.”
Bahman’s engineering principleNext step
Bring one process, not an AI shopping list.
Describe what starts it, how often it runs, which systems it touches and where it currently breaks.