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From AI Pilot to Everyday Workflow

Writer: Yekta Ozcomert
Yekta Ozcomert
Oct 19
1 min read

A pilot is useful when it helps your company make a decision. Before building, agree which business problem you are testing and what evidence would justify taking the next step.


Define the scope

Choose one workflow, a named owner and a manageable group of users. Identify the data sources, tools and review steps the pilot needs. Make the boundaries clear so that a small experiment does not become an open-ended project.


Evaluate realistic examples

Test representative inputs, including incomplete information and difficult cases. Review accuracy, usefulness and the effort required to check the output. Compare the results with the current workflow.


Plan for human review

Decide which outputs need approval and what should happen when the system is uncertain or fails. The people using the workflow should understand its limits and know how to escalate problems.


Prepare for ongoing use

Document ownership, access, support and evaluation. Gather feedback before expanding to more users or tasks. A rollout should follow evidence from the pilot rather than enthusiasm alone.


SeedWorks supports companies from AI use-case selection through pilots, integration and adoption. Contact info@seedworks.ai to discuss your project.

 
 
 

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