Service
Connect the systems behind the manual work.
APIs, workflows, and background jobs that move information with clear ownership, visible failures, and a way to recover.
The problem
What this actually looks like
Manual copying between tools creates delays and makes the state of a process hard to trust.
An integration needs more than a successful API request. It needs to handle duplicate events, failures, and changes in the connected systems.
Deliverables
What you get
Concrete artifacts, not activities. Everything below is something you can point at and say you received it.
- Workflow and integration design
- API and event-driven implementation
- Failure handling and operational visibility
- Documentation for the people running the workflow
Timeline
How it works
Ranges, not best cases. The dates below are what it usually takes, including the week something goes wrong.
- 01Map
Follow the current workflow
Understand where information starts, who changes it, and which systems rely on it.
- 02Design
Define the boundaries
Agree source-of-truth rules, permissions, and failure behavior.
- 03Connect
Implement the workflow
Build the agreed connections and test representative and repeated events.
- 04Operate
Make failures visible
Document monitoring, recovery, and the manual path when intervention is needed.
Approach
Our approach
The goal is a workflow people can rely on and understand. Clear state and recovery paths matter as much as reducing the number of manual steps.
What we avoid
- Automating a process before its decision rules are understood.
- Silently dropping failures or relying on a single successful demonstration.
Engagement
Engagement options
Shape
Scoped integration or workflow
Pricing
Quoted for your systems
The connected tools, API access, data quality, and recovery requirements determine the scope.
View engagement optionsFAQ
Frequently asked questions
Which systems can you connect?
Share the systems involved and the access or API documentation available. Feasibility depends on the interfaces and permissions each system provides.
What happens when an integration fails?
The design should define retries, error reporting, and any manual recovery path appropriate to that workflow.
Can AI be part of an automation?
Where useful, with clear input and output boundaries and a way to evaluate or review uncertain results.