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| 1 | +# Initial AI Questions - Overview |
| 2 | + |
| 3 | +Costa Rica |
| 4 | + |
| 5 | +[](https://github.com) |
| 6 | +[](https://github.com/) |
| 7 | +[brown9804](https://github.com/brown9804) |
| 8 | + |
| 9 | +Last updated: 2025-11-03 |
| 10 | + |
| 11 | +---------- |
| 12 | + |
| 13 | +| **Category** | **Question to Ask** | **Example Response** | **Purpose** | |
| 14 | +|--------------------------|-------------------------------------------------------|------------------------------------------------------|-----------------------------------------------------------------------------------------------| |
| 15 | +| **Business Objective** | What problem are you trying to solve with AI? | `We want to reduce manual ticket triage time.` | Understand the core use case and business value.| |
| 16 | +| **AI Use Case Type** | Is this a predictive, generative, or classification use case? | `We want to predict equipment failure before it happens.` | Helps determine the AI model type and architecture.| |
| 17 | +| **Data Availability** | What kind of data do you have access to? | `We have historical logs, sensor data, and incident reports.` | Assesses data readiness and integration needs.| |
| 18 | +| **Data Location** | Where is your data stored (cloud, on-prem, hybrid)? | `Most of our data is in Azure Data Lake.` | Determines data pipeline and access strategy.| |
| 19 | +| **Real-Time vs Batch** | Do you need real-time insights or is batch processing sufficient? | `Real-time alerts are critical for us.` | Influences infrastructure and model deployment strategy.| |
| 20 | +| **Integration Points** | What systems will this AI solution need to integrate with? | `ServiceNow, Jira, and our internal monitoring tools.` | Identifies APIs, connectors, and integration complexity.| |
| 21 | +| **User Interaction** | Will end users interact with the AI directly (e.g., chatbot) or indirectly? | `It will be embedded in our internal dashboard.` | Helps define UI/UX and delivery method.| |
| 22 | +| **Security & Compliance**| Are there any compliance or data privacy requirements (e.g., HIPAA, GDPR)? | `Yes, we must comply with SOC 2 and GDPR.` | Determines constraints on data handling and model training.| |
| 23 | +| **Preferred Cloud** | Do you have a preferred cloud provider or existing cloud contracts? | `We’re primarily an Azure shop.` | Guides service selection (e.g., Azure ML, AWS SageMaker, GCP Vertex AI).| |
| 24 | +| **AI Maturity** | Have you used AI/ML in production before? | `We’ve done some POCs but nothing in production.` | Assesses readiness and need for foundational support.| |
| 25 | +| **Model Ownership** | Do you plan to build your own models or use prebuilt ones (e.g., OpenAI, Azure AI)? | `We’d prefer to fine-tune a prebuilt model.` | Helps scope the project and choose between custom vs. managed services.| |
| 26 | +| **Monitoring Needs** | How will you monitor and evaluate model performance? | `We’ll need dashboards and alerts for drift and accuracy.` | Ensures observability and governance are planned.| |
| 27 | +| **Scalability** | How many users or transactions do you expect the AI to handle? | `We expect 10,000+ daily interactions.` | Determines infrastructure sizing and cost implications.| |
| 28 | +| **Budget & Timeline** | What’s your budget and timeline for this initiative? | `We have a 3-month window and a $50K budget.` | Helps prioritize scope and feasibility.| |
| 29 | +| **Success Metrics** | How will you measure the success of this AI solution? | `Reduction in ticket resolution time by 30%.` | Aligns technical goals with business KPIs.| |
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| 34 | + <p>Refresh Date: 2025-11-03</p> |
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