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External Frameworks & References

Curated collection of industry-leading frameworks for AI, cloud architecture, and engineering excellence.

We don't reinvent the wheel. This playbook builds on proven frameworks from industry leaders.


AI Maturity & Assessment Frameworks

MIT CISR Enterprise AI Maturity Model

Source: MIT Center for Information Systems Research

Key Concepts:

  • Four stages: Foundational → Integrated → Optimized → Transformative
  • Financial performance improves at each stage
  • Based on survey of 721 companies

How We Use It: Foundation for our AI Maturity Assessment


OWASP AI Maturity Assessment (AIMA)

Source: OWASP Project

Key Concepts:

  • Security and responsible AI focus
  • Based on OWASP SAMM methodology
  • Eight practices across AI lifecycle

How We Use It: Governance and security dimensions of our assessments


Gartner AI Maturity Model

Source: Gartner Research (subscription required)

Key Concepts:

  • Five levels: Awareness → Active → Operational → Systemic → Transformational
  • Focus on value realization and organizational change
  • Industry benchmarking

How We Use It: Client positioning and industry comparisons


MITRE AI Maturity Model

Source: MITRE AI Resources

Key Concepts:

  • Six pillars: Ethical Use, Strategy, Organization, Technology Enablers, Data, Performance Measurement
  • Structured questionnaires for each pillar
  • Five maturity levels per pillar

How We Use It: Detailed dimension assessments


Cloud Architecture Frameworks

AWS Well-Architected Framework

Source: AWS Well-Architected

Pillars:

  1. Operational Excellence
  2. Security
  3. Reliability
  4. Performance Efficiency
  5. Cost Optimization
  6. Sustainability (added 2021)

How We Use It: Platform-agnostic adaptation in our Well-Architected Review


Azure Well-Architected Framework

Source: Microsoft Learn

Pillars:

  1. Reliability
  2. Security
  3. Cost Optimization
  4. Operational Excellence
  5. Performance Efficiency

How We Use It: Azure-specific implementations in our Azure CoE


Google Cloud Architecture Framework

Source: Google Cloud

Pillars:

  1. System Design
  2. Operational Excellence
  3. Security, Privacy, and Compliance
  4. Reliability
  5. Cost Optimization
  6. Performance Optimization

How We Use It: GCP-specific guidance and comparisons


Enterprise Architecture Frameworks

TOGAF (The Open Group Architecture Framework)

Source: The Open Group

Key Concepts:

  • Architecture Development Method (ADM)
  • Enterprise Continuum
  • Architecture Repository

How We Use It: Enterprise-wide architecture governance


Zachman Framework

Source: Zachman International

Key Concepts:

  • 6x6 matrix of perspectives and abstractions
  • What, How, Where, Who, When, Why

How We Use It: Stakeholder communication and documentation structure


DevOps & Engineering Frameworks

CNCF Cloud Native Landscape

Source: CNCF Landscape

Key Concepts:

  • Comprehensive map of cloud-native technologies
  • Graduated, incubating, and sandbox projects
  • Community-driven standards

How We Use It: Technology selection and comparison


ThoughtWorks Technology Radar

Source: ThoughtWorks Radar

Key Concepts:

  • Four rings: Adopt, Trial, Assess, Hold
  • Four quadrants: Techniques, Platforms, Tools, Languages & Frameworks
  • Updated biannually

How We Use It: Technology recommendations in our decision frameworks


Google SRE (Site Reliability Engineering)

Source: SRE Books

Key Concepts:

  • Error budgets
  • Service Level Objectives (SLOs)
  • Toil elimination
  • Blameless postmortems

How We Use It: Operational excellence and reliability engineering


Team Topologies

Source: teamtopologies.com

Key Concepts:

  • Four team types: Stream-aligned, Platform, Enabling, Complicated Subsystem
  • Three interaction modes: Collaboration, X-as-a-Service, Facilitating
  • Cognitive load management

How We Use It: Organization design and team structure recommendations


Data & AI Engineering

Data Mesh Principles

Source: Zhamak Dehghani

Key Concepts:

  • Domain-oriented ownership
  • Data as a product
  • Self-serve data platform
  • Federated computational governance

How We Use It: Data architecture patterns in principles


MLOps Maturity Model

Source: Microsoft MLOps

Key Concepts:

  • Five levels from no MLOps to full automation
  • Focus on reproducibility, traceability, and governance

How We Use It: AI infrastructure assessments


Medallion Architecture

Source: Databricks

Key Concepts:

  • Bronze (raw) → Silver (cleaned) → Gold (curated)
  • Incremental data quality improvement
  • Lakehouse pattern foundation

How We Use It: Data platform design recommendations


Security Frameworks

NIST Cybersecurity Framework

Source: NIST CSF

Key Concepts:

  • Five functions: Identify, Protect, Detect, Respond, Recover
  • Implementation tiers
  • Framework profiles

How We Use It: Security assessments and governance


OWASP Top 10

Source: OWASP Top 10

Key Concepts:

  • Top 10 web application security risks
  • Updated every 3-4 years
  • Includes remediation guidance

How We Use It: Security reviews and developer training


Zero Trust Architecture

Source: NIST SP 800-207

Key Concepts:

  • Never trust, always verify
  • Assume breach
  • Least privilege access

How We Use It: Security architecture patterns in principles


How to Choose Frameworks

For Client Engagements

Client Need Recommended Framework
AI strategy and roadmap MIT CISR + Our AI Maturity Assessment
Cloud migration AWS/Azure/GCP Well-Architected + Cloud Readiness
AI security and governance OWASP AIMA + NIST AI RMF
Enterprise architecture TOGAF + Zachman
DevOps transformation CNCF + SRE + Team Topologies
Data platform modernization Data Mesh + Medallion Architecture

Framework Combination Strategy

Most engagements use 2-3 frameworks:

  1. Primary: Domain-specific (e.g., MIT CISR for AI, TOGAF for EA)
  2. Secondary: Platform-specific (e.g., Azure Well-Architected)
  3. Tertiary: Industry validation (e.g., ThoughtWorks Radar)

Stay Updated

Newsletters & Publications

Conferences

  • KubeCon + CloudNativeCon
  • AWS re:Invent
  • Microsoft Ignite
  • Google Cloud Next

Certifications

  • AWS Solutions Architect
  • Azure Solutions Architect Expert
  • Google Cloud Professional Cloud Architect
  • Kubernetes Administrator (CKA)
  • TOGAF Certified

Remember: Frameworks are tools, not dogma. Adapt them to your client's context and maturity level.