Chakraview Data & AI Readiness Scorecard

Evaluate your data plumbing, schema stability, and AI readiness in under 2 minutes.

1. Where does the majority of your core business data live and how does it move?

Siloed SaaS Apps & Manual CSV Exports Monolithic Operational Database (PostgreSQL/MySQL reporting direct) Scheduled ETL (Fivetran/Airbyte) to Cloud Warehouse Contract-First / Real-Time Streaming & Medallion Architecture

2. How often do downstream dashboards or workflows break due to schema changes?

Constantly (Weekly firefighting and silent breaks) Occasionally (Monthly surprises caught by end-users) Rarely (Basic schema alerts, manual troubleshooting) Never (Gated via strict ingestion data contracts)

3. How are PII and sensitive records handled before exposure to internal analytics or LLMs?

Unrestricted / Unknown (Raw production data accessible) Role-Based Access Only (Data rarely masked or redacted) Basic Compliance (Meets baseline GDPR/CCPA, no automated AI redaction) Zero-Trust Governance (Automated PII tokenization & lineage tracking)

4. What is your primary artificial intelligence or automation objective?

Customer-Facing RAG / Chatbot (Worried about hallucinations & data leaks) Internal Operational Copilots (Support routing, internal search) Predictive Analytics / Forecasting (Demand & churn models) Core Data Foundation Fix (Ensuring data plumbing is solid before AI)

5. Do you have visibility and spending controls over your cloud data compute?

The "Black Box" Bill (Unpredictable spikes, no cost attribution) Basic Invoices (Reactive monitoring, occasional overages) Monitored Workloads (Tracked costs, occasional unoptimized queries) Cost-Optimized Serverless / Low-Ops Footprint (<$300/mo)

6. How do you measure correctness and reliability before pipeline handoff?

Hope and Pray (Relying on customer complaints) Manual SQL Spot-Checks by Engineers Automated Basic Assertions (dbt tests) Measure Before Claim (Strict automated quality gates & benchmarks)

Your AI & Data Readiness Index

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