AI AGENTS & CUSTOM SYSTEMS
A useful AI agent starts
with a clear job.
Give a system the right context, approved tools and a defined place to stop. We build agents around the work your business actually needs.
AN EXAMPLE BUILD BRIEF
An inbox assistant.
With boundaries.
This is an illustrative specification, not a connected product. It shows the decisions that shape a useful agent before any integration starts.
“Can someone check the status of our website update?”
PREPARED OUTPUT
Project-status request. Route to the account owner; ask them to check the record before a reply is sent.
- The job
- Sort routine inquiries and prepare a useful reply.
- Approved context
- Service information, routing rules and an authorized inbox.
- Useful output
- A classified request, a suggested owner and a reply draft.
- Human boundary
- A person reviews replies. Account changes and uncertain requests are held.
CHOOSE THE RIGHT KIND OF SYSTEM
Some work needs AI.
Some just needs
a reliable connection.
We use ordinary workflow rules for predictable steps and AI where interpretation is useful. The scope can include a custom interface, internal knowledge search, tool connections and approval controls.
The decision starts with the task, available information and the consequences of an error—not a requirement to put AI into every step.
Built for a real handoff.
Defined access
Agree which sources the system may read and which actions it may prepare or perform.
Tested behavior
Check useful cases, ambiguous requests, missing data and the path back to a person.
Clear ownership
Document how it runs, how changes are made and what support belongs in the scope.
What job would you
give an agent?
Bring a repeatable task, an information bottleneck or a process that needs a clearer handoff.