Infrastructure Readiness

Where is your data currently stored?On-premise serversCloud (AWS/Azure/GCP)HybridDon't know

Do you have existing MLOps infrastructure?Yes, fully implementedPartial implementationNo infrastructureWhat's MLOps?

Can your data scientists deploy models to production without DevOps help?Yes, self-serviceSometimes, with helpNeverWe don't have data scientists

Team & Capability

How many full-time AI/ML engineers do you have?10+5-101-40 (we hire contractors)

How many AI projects have you successfully deployed to production?5+2-410 (still in pilot phase)

What's your biggest AI deployment bottleneck?Compliance/regulatory approvalLack of infrastructureTalent gapsUnclear ROI

Use Case Clarity

Have you identified specific AI use cases with measurable business impact?Yes, prioritized with ROI projectionsYes, but not prioritizedVague ideas onlyNo use cases defined

What's your primary AI focus area?Document processing/automationFraud detection/risk analysisCustomer service automationPredictive analyticsOther

What's your timeline to have AI in production?0-3 months (urgent)3-6 months6-12 months12+ months (exploring)

Budget & Authority

What's your annual AI budget?$500K-$1M$100K-$500K$100KNo dedicated budget

Who needs to approve AI implementation projects?I have authority to approveNeed CTO/CIO approvalNeed board/C-suite approvalDon't know

Have you worked with AI consulting firms before?Yes, currently engagedYes, past projectsNo, first timeYes, but unhappy with results

Calculations