Frameworks
Practical frameworks I’ve developed and refined across multiple engagements. These are not theoretical models — they’re battle-tested approaches that deliver measurable outcomes.
AI Readiness Map
A structured assessment framework to evaluate organizational readiness for AI adoption. Covers data maturity, process clarity, technical infrastructure, governance, and team capabilities.
10MT Execution Framework
Performance alignment system based on 10 Measurable Targets. Designed for goal-setting, progress tracking, and accountability across teams and projects.
CRM Visibility Stack
End-to-end framework for building sales visibility systems. Includes data capture, pipeline management, KPI design, and reporting architecture.
Knowledge-to-LMS Model
Systematic approach to capturing institutional knowledge and converting it into structured learning content. Covers content design, assessment frameworks, and delivery platforms.
Smart Systems Readiness Model
Framework for evaluating and planning IoT, smart building, and edge AI deployments. Addresses architecture, integration, security, and operational readiness.
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