Deployed Labs helps enterprise teams turn an AI strategy into a deployment plan that can be used in production. We define how the system should connect to existing tools, how performance will be tested, and what needs to be monitored after launch.
Define how the workflow should run, including real-time, asynchronous, or human-approved steps.
Map how the AI system will connect to existing data, applications, and access controls.
Choose how models should be used based on performance requirements and cost.
Set how performance will be tested before launch and monitored once the system is running.
Establish who can access the system, where approval is required, and how issues will be handled.
Plan how the system will be introduced, tested with users, and expanded after launch.
Tell us which workflow you are preparing to deploy and what has already been built. Deployed Labs will propose a deployment scope based on the system’s current stage.
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