AI Engineering Maturity Model
Assess your engineering capabilities using our CMMI-aligned assessment framework. Evaluate, benchmark, and plan your transition towards secure, metrics-driven, and optimizing AI architectures.
Initial
Unpredictable, siloed implementations. Vibe checks, shadow AI, and manual configurations drive applications.
Managed
Repeatable at the project level. Standard API keys, simple vector indices, and basic IDE helper tools.
Defined
Organization-wide standard. Centralized routing gateways, zero-standing privileges, and automated evaluations.
Managed (Metrics)
Programmatic, quantitatively measured. Active semantic guardrails, GPU telemetry, and automatic red-teaming.
Optimizing
Continuous autonomous improvement. Self-healing multi-agent swarms, self-correcting RAG, and dynamic DLP.
Capability Self-Assessment
Select your current stage of engineering progress for each Level 1 capability to compute your enterprise index and generate a custom report.
1. Product Strategy & Value Orchestration
Designing and monetizing AI systems aligned to causal business value mechanisms rather than hype.
2. Agent Execution & Orchestration
Designing, deploying, and governing autonomous multi-agent topologies and execution systems.
3. Knowledge & Memory Management
Structuring, retrieving, and retaining organizational state and RAG contexts for factual precision.
4. Security & Threat Defense
Shielding runtime AI systems against adversarial attacks, prompt injections, and data extraction.
5. Identity & Access Management
Governing machine identities, agent delegation pipelines, and intent-based credential exchanges.
6. Software Engineering (SDLC)
Orchestrating agentic code generation workflows, speculative development, and supervisor loops.
7. Data Security & Privacy
Discovering, mapping, and redacting sensitive data elements from prompts and response structures.
8. Evaluation & Quality Assurance
Benchmarking model output accuracy, toxicity, relevance, and safety across pipeline gates.
9. Model Infrastructure & Serving
Configuring, fine-tuning, quantizing, and executing foundation models on production-scale hardware.
10. Governance, Ethics & Compliance
Cataloging assets, assessing risks under EU AI Act, and documenting audit trails dynamically.
Maturity Scorecard
Strategic Action Plan
Select ratings for each capability area to analyze details and compile custom roadmap items here.
Maturity Matrix Explorer
Explore key milestone parameters across all CMMI levels. Click any cell to sync it directly with the calculator widget above.
| Capability | L1: Initial | L2: Managed | L3: Defined | L4: Quantitatively Managed | L5: Optimizing |
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