Every enterprise is at a different stage of AI adoption. Understanding where you are — and what it takes to get to the next stage — is more useful than comparing yourself to competitors. Here's a practical maturity model to help you assess and plan.
Stage 1: Experimental (Ad-hoc Pilots)
Characteristics: isolated AI experiments, no central strategy, results don't reach production. What's needed: a business-sponsored use case, a small dedicated team, and permission to fail fast. Goal: prove that AI can deliver value on one real problem.
Stage 2: Operational (Isolated 产品ion)
Characteristics: 1-3 AI systems in production, each built differently, no shared infrastructure, high maintenance burden. This is where most enterprises are stuck. What's needed: shared platform infrastructure, governance framework, and a roadmap for consolidating disparate AI efforts. Goal: reduce the cost of deploying the next AI system.
Stage 3: Systematic (平台-Enabled)
Characteristics: shared AI platform (like MCP), standardised deployment pipelines, governance automated in CI/CD, multiple teams deploying AI independently. What's needed: invest in platform capabilities, expand use case portfolio, build internal MLOps expertise. Goal: make AI deployment routine, not exceptional.
Stage 4: Strategic (AI-Driven Decisions)
Characteristics: AI is integrated into core business processes, decisions are data-driven by default, AI agents augment most knowledge workers. What's needed: culture shift from 'AI as a tool' to 'AI as a colleague', workforce reskilling, and continuous innovation cycles. Goal: competitive advantage through AI.
Stage 5: AI-Native (Transformed)
Characteristics: AI is invisible — it's just how the business operates. 产品s, processes, and decisions are AI-first by design. Few enterprises reach this stage, but those that do redefine their industries.
核心要点
- Stage 1: Experimental (Ad-hoc Pilots)
- Stage 2: Operational (Isolated 产品ion)
- Stage 3: Systematic (平台-Enabled)
- Stage 4: Strategic (AI-Driven Decisions)
总结
Characteristics: AI is invisible — it's just how the business operates. 产品s, processes, and decisions are AI-first by design. Few enterprises reach this stage, but those that do redefine their in...
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