Workflow · onboarding
TriggerContract signed
StepsAccounts · access · welcome
StatusDone in 4 min
Service
Workflow Automation
Your tools, connected into one reliable engine. No more copy and paste between tabs.
The problem
Data lives in a dozen tools. People copy it between them by hand, and every handover is a chance for delay or error.
What it is
Workflow automation links your software so business processes run on their own. Events in one system trigger the right actions in the others, every time.
How it works
Instead of fragile point-to-point connectors, we build middleware on your own cloud. Events are captured, queued so nothing is lost, transformed by custom logic, and delivered to the systems downstream.
How it runs
- Trigger fires
- Data checked
- Steps run across tools
- Team notified
Event-driven triggers
React instantly to changes in your CRM or database.
Two-way sync
Keep records consistent across every platform you use.
Recovery built in
Queues and automatic retries mean an outage never drops data.
Smart routing
Route work by real-time rules, territory or priority.
Delivery
From first call to live system in four weeks.
- Week 1
Process map
Document every manual touchpoint in the current workflow.
- Week 2
Architecture
Design events, queues and error handling.
- Week 3
Testing
Simulate edge cases, heavy load and API failures.
- Week 4
Go-live
Switch over, with alerting and a clear fallback.
Outcomes
What it changes.
- Faster processing
- 10x
- Data entry errors
- 0
- Saved per employee each month
- 40 hrs
Where it works
Lead-to-deal routing
Inbound leads are enriched, scored and routed to the right rep in seconds.
Employee onboarding
One status change in HR provisions accounts, access, channels and equipment.
Order fulfilment sync
Orders flow straight to the warehouse and stock updates across every storefront.
Typical stack
- Node.js
- Python
- AWS EventBridge
- RabbitMQ
- PostgreSQL
- Docker
Security
Credentials live in a managed secrets vault. Every incoming event is signature-verified, and all data is encrypted in transit.
Related work
In production.
FAQ
Questions, answered.
They are great for small teams but become fragile and costly at scale. Custom middleware gives precise error handling, room to grow and full data ownership.
Queues with rate limiting respect every downstream limit without dropping a single event.
