AI Maturity Model
Evaluate your organization's AI readiness and maturity across key dimensions including strategy, infrastructure, talent, and implementation capabilities.
The Synozur AI Maturity Model is a five‑stage framework—Explore, Build, Scale, Transform, Frontier—that gives business and technology leaders a common language to assess readiness, align investments, and sequence AI initiatives with confidence. It’s designed to move you from isolated experimentation to an enterprise growth engine where AI is orchestrated across people, process, data, and platforms.
How it works
A conversational, guided assessment produces an AI maturity score on a 100–500 scale, then maps targeted “next‑level” actions by dimension. The experience was specified for executives and IT leaders—clear, empathetic, and outcome‑focused—so teams can act immediately, not just admire the problem.
What you receive
Instant results—no login required: complete the assessment and immediately see your 100–500 maturity score.
Downloadable PDF report: personalized recommendations by stage and dimension, plus a shareable summary for stakeholders.
Follow‑on resources: links to best‑practice guides, workshops, and enablement to move from score to impact.
Model Information
Maturity Scale Levels
Explore (100-199)
Organizations experiment with isolated AI pilots led by enthusiasts, but lack strategic direction, governance, and coordinated leadership, resulting in limited business impact and “pilot paralysis.”
Build (200-299)
Companies begin laying strategic and technical foundations for AI, investing in data infrastructure and governance, with formal leadership emerging but business value still constrained by talent gaps and low adoption.
Scale (300-399)
AI is deployed across multiple business functions with measurable impact, supported by cross-functional governance and strong business-technology alignment, though scaling is challenged by workforce retraining and cultural resistance.
Transform (400-449)
AI becomes a strategic driver embedded in core operations and decision-making, championed by C-suite leaders, delivering competitive advantages through innovation, personalization, and operational efficiency.
Frontier (450-500)
The organization reinvents its business model with an AI-first culture, treating AI as an omnipresent utility, enabling dynamic human–AI teams and autonomous systems that continuously optimize operations and set new industry standards.
Dimensions
Strategy & Leadership
The organization’s vision, executive sponsorship, and strategic alignment ensure AI initiatives are prioritized, funded, and integrated with high-value business goals.
Talent & Skills
The workforce is equipped with the necessary AI expertise, upskilling programs, and cross-functional collaboration to drive adoption and innovation.
Data & Infrastructure
Robust data pipelines, cloud platforms, and secure infrastructure provide the technical foundation for scalable, reliable, and high-impact AI solutions.
Use Case Integration
AI is embedded into core business processes and products, with measurable outcomes tied to enterprise KPIs and operational workflows.
Governance & Responsible AI
Ethical, secure, and transparent AI practices are institutionalized through strong governance frameworks, risk management, and compliance with emerging regulations
Culture & Change Management
An AI-ready culture fosters agility, experimentation, and continuous learning, supported by effective change management and broad workforce engagement.