Enterprise AI Readiness Assessment Tool

Evaluate your organization's readiness for production AI across Strategy, Data, Engineering, Governance, and Operations.

01. Strategy & ROI

How are GenAI investments tied to business outcomes?

Informal interest; exploratory hobbyist demos. Business case drafted with defined efficiency KPI targets. Executive sponsor assigned, tied to quarterly P&L margin outcomes.

02. Data Readiness

How are enterprise knowledge sources curated and accessed?

Raw unorganized PDFs and wiki pages scattered across SharePoint. Curated knowledge stores with basic metadata and chunking pipelines. Automated ETL pipelines with document-level RBAC sync and freshness triggers.

03. Engineering Maturity

How is AI software delivered and deployed?

Python notebooks or ad-hoc scripts with hardcoded API keys. Version-controlled repositories with CI linting and containerization. Automated CI/CD pipelines with canary rollouts and automated rollback triggers.

04. AI Governance & Security

What security and risk controls are enforced?

No formal review; relying solely on vendor terms of service. Risk triage completed; basic PII redaction and secret scanning in place. Formal InfoSec & APRA CPS 234 review, zero data retention, and trace logging.

05. Production Operations

How are live systems monitored and evaluated?

Vibe checks and manual user bug reports in Slack. Golden evaluation test set (>100 Q&As) run in CI before merges. Full OpenTelemetry tracing, LLM-as-a-judge sampling, and on-call runbooks.

Assessment Outcome

Overall Readiness: -- / 100

STAGE

Dimension Breakdown

STRATEGY

DATA

ENGINEERING

GOVERNANCE

OPERATIONS