AI Maturity Model
A framework for assessing where a business sits on the spectrum from no-AI to fully-integrated AI capability, used to guide investment, hiring, and strategy decisions.
How it works
AI maturity models are practical sense-making tools. Common frames split capability into stages: experimentation (early POCs, individual users, no production systems), departmental (one or two departments running AI in production with point integration), enterprise (multiple departments, shared infrastructure, governance in place), and integrated (AI as a core capability across the business with strategic differentiation). The right strategic move depends on current stage: a business at experimentation should not be planning enterprise-grade governance; a business at enterprise should not be tolerating point POCs that do not integrate. Ayoob AI assesses maturity at discovery and aligns the engagement scope to the right next step.
Related terms
AI Strategy
A documented plan covering which workflows to automate, in what order, on what architecture, with what governance, against which business outcomes, typically across a 12 to 24 month horizon.
AI Retainer Model
A commercial structure in which a business pays a monthly fee for committed AI engineering capacity over a 12-month minimum term, rather than paying per-project or per-seat.
Want to see this technology in action?
Book a Discovery Call