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Strategic Frameworks Library

Comprehensive, battle-tested frameworks for enterprise AI leaders. Each framework distills insights from 10+ successful implementations.

Enterprise Agentic AI Strategy

A Chief AI Officer's guide to portfolio building, scaling, and governance across the AI lifecycle.

Strategic Prioritsation
Technical Foundation
Governance & Risk
Value Measurement
Explore Framework

Team Topologies for Agentic AI

Organisational design patterns for building and scaling autonomous AI systems with 100+ engineers.

Stream-Aligned Teams
Platform Teams
Interaction Modes
Evolution Strategy
Explore Framework

AI Product Development

End-to-end methodology for shipping AI products from discovery to optimisation.

Strategy & Discovery
Technical Architecture
Development
Testing & QA
Deployment
UX Design
Explore Framework

Production AI Agent Tech Stack

A reality check on building autonomous AI systems beyond calling GPT-4 in a for-loop.

Research Foundation
Agentic Architecture
Intelligence Stack
Retrieval & Memory
Production Infrastructure
Explore Framework

AI Value Creation Stack

A production-ready framework for business value creation across the complete AI spectrum.

Business Impact
Governance & Measurement
ML Capabilities
Foundation
Decision Framework
Explore Framework

Why These Frameworks?

Battle-Tested & Practical

Each framework distills real-world insights from 10+ enterprise AI transformations worth $100M+. No academic theories—just what actually works in production.

Whether you're a Chief AI Officer building your first portfolio or a VP of Engineering scaling teams, you'll find actionable guidance you can implement Monday morning.

Comprehensive & Interconnected

These frameworks work together as a complete system for enterprise AI success. Strategy informs organisation design, which enables product delivery at scale.

Each framework includes metrics, templates, and real examples you can adapt to your organisation's specific context and constraints.

More frameworks coming soon. Each one based on real enterprise implementations.

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