AI workflow automation
Automate the stepsnobody should be doing by hand
The repetitive middle of a process — reading a document, deciding a route, updating three systems. We automate those steps with explicit rules first and models only where rules genuinely cannot cope.
500+
Projects delivered
most under NDA
100+
Clients served
5 regions
5
Systems live
in production now
—
Clutch rating
awaiting verified score
What we build
The work itself,component by component
Process mapping
The current path documented step by step before a line of automation is written.
Document intake
Email, upload, or API in; classified, extracted, and routed automatically.
Rules-first routing
Deterministic logic wherever possible; a model only where the input is genuinely unstructured.
Exception queues
Anything low-confidence lands in a human queue instead of proceeding silently.
System integration
Writes back into the CRM, ERP, or ticketing system so nobody re-keys the result.
Throughput reporting
Volume, automation rate, and exception rate visible from day one.
Why it matters
What changesonce it is running
Three things a buyer of this work should be able to hold us to.
Hours back — The manual middle of the process disappears; the judgement calls stay with people.
Nothing lost — Low-confidence cases queue for review rather than being auto-approved.
Measured — You can see what proportion is actually automated, weekly.
Stack we use for this
- Python
- Celery
- n8n-style orchestration
- PostgreSQL
- Redis
- REST / webhooks
How it runs
Four stages,and you can leave after any of them
Scope
We agree what the system does and what shipping means, in writing.
Build
Short cycles in your repository, running before it is finished.
Ship
Deployed into your cloud account, reachable by a real user.
Stay
Maintenance and roadmap by the same engineers who built it.
Proof
The systemsthat back this page
FAQ
Questionswe get asked
What if the automation gets one wrong?
Confidence thresholds route uncertain cases to a person before anything is committed.
Do we need to replace our current tools?
No. Automation sits between them and writes back through their APIs.
How fast is the first result?
One process end-to-end is usually live before the rest are mapped.
AI workflow automation