Custom AI builds
When an existing tool does not fit a defined workflow, a custom AI tool may be worth exploring. We scope the problem, information, access needs, and human review before agreeing on a build.
Illustrative example
A team might need a tool to find information in its existing systems and present it for staff review. The scope would identify approved sources, permissions, and the way people check the output. This is a possible use, not a customer result.
Describe the problem, how the work happens today, and the systems involved. Your team identifies who reviews results and handles exceptions. Connections depend on available interfaces, permissions, and the agreed scope.
If an existing tool is a better fit, a custom build may not be needed.
Questions and answers
It is a purpose built AI tool or application scoped around a specific business problem and its workflow.
It may make sense when a defined need is not met by available tools. An assessment can help compare the options before a build is scoped.
We discuss the business problem, workflow, expected result, information, access, system dependencies, and review needs.
Connections can be considered during scoping. Feasibility depends on available interfaces, permissions, and the agreed requirements.
The review and exception path is considered for the specific task. People remain responsible for decisions assigned to them.
Timing depends on the requirements and system dependencies, so it is discussed after the project scope is understood.
Discuss a defined use case
We will discuss whether a custom build fits the need and what requirements would shape its scope.