AI Readiness
Definition
AI readiness is a measure of an organization's preparedness to adopt, deploy, and sustain AI automation. It encompasses technical infrastructure (data quality, API integrations, security posture), organizational factors (leadership buy-in, AI literacy, change management), and governance maturity (policies, compliance frameworks, audit capabilities). Organizations with high AI readiness can deploy AI automation faster and with lower risk.
The Readiness Gap
Research shows that 78% of companies have adopted AI in at least one function, but only 28% report having a clear AI governance policy. This "readiness gap" between AI adoption and AI governance is the primary risk factor for enterprise AI programs. Platforms like JieGou address the gap by providing governance infrastructure alongside automation capabilities.
Related Terms
Department Packs
Department packs are curated bundles of AI recipes, workflows, and governance rules designed for specific business functions like Sales, Marketing, HR, and IT.
AI Governance
AI governance is the set of policies, controls, and oversight mechanisms that ensure AI systems operate safely, ethically, and in compliance with regulations.
AI Automation
AI automation uses large language models to execute business tasks and workflows that previously required human judgment, operating on schedules or triggers.