AI Readiness Brief
This brief helps leaders review whether their organization has the right data, systems, workflows, security controls, and governance model for safe AI adoption.
A practical starting point for secure AI adoption
AI readiness is not only about choosing a model. It is about understanding whether the organization has the data, systems, controls, workflows, and governance needed to use AI safely. Bassar aligns this resource with public guidance such as NIST AI RMF and ISO/IEC 42001 without treating the guide as a certification or audit.
Readiness dimensions
Business readiness
Define the operational problem before selecting AI.
Data readiness
AI needs data that is organized, accessible, permissioned, and trustworthy.
Workflow readiness
AI must fit into real business flows.
Security and governance readiness
Teams should identify privacy exposure, access rules, audit logging, review owners, and pause criteria before a pilot.
AI readiness score
Score each area from 1 to 5, where 1 means unclear or not ready and 5 means ready for a controlled pilot.
30-day AI readiness plan
Week 1: Map
List business processes, systems, users, documents, databases, and pain points.
Week 2: Assess
Review data quality, permissions, security risks, and infrastructure gaps.
Week 3: Select
Choose one controlled AI use case with clear owners and measurable value.
Week 4: Plan
Define architecture, governance, pilot scope, success metrics, and next steps.