A useful Lean Six Sigma and AI pilot begins with a specific process problem. For an oil and gas team in Saudi Arabia, consider an administrative support workflow such as maintenance-request triage or document indexing. Keep operational safety decisions within the organisation’s approved controls.
Define the problem before choosing the tool
Write down the process boundary, customer need and current defect. For example, a fictional team might investigate incomplete maintenance requests that require repeated clarification. Establish a baseline using comparable records before testing a change. This is a planning example, not a GREEZA client result.
Use the DMAIC structure
Define the problem and owner. Measure the current process. Analyse why errors occur. Improve one part of the workflow. Control the revised process with a clear review routine. An AI tool might suggest a request category, while an authorised person reviews and approves it.
Set data and review controls
Use only approved data in approved tools. Remove confidential details from training exercises. Test incorrect classifications, missing information and unusual requests. Record the reviewer’s corrections rather than measuring speed alone.
Decide whether to continue
Compare processing time, error rate and review effort against the baseline. Agree stop conditions before the pilot starts. A faster workflow is not an improvement if it increases errors or creates uncontrolled safety consequences.
Explore training: https://courses.greezaacademy.com/courses
Related reading: https://greezaacademy.com/blog/ai-agents-workplace-pilot-checklist
Method reference: ASQ Six Sigma tools — https://asq.org/quality-resources/sixsigma/tools