What is the AI Steering Wheel Framework?

The AI Steering Wheel Framework (AI-SWF) is a unified operating model for scaling Generative and Agentic AI at enterprise scale. It combines three interlocking layers: Strategy (7 Phase Roadmap), Operations (CADA Steering), and Engineering (AgileGenAI with 6 stages).

Why do AI pilot projects fail?

87% of AI pilots never reach production. The root causes are: no strategy layer (governance undefined before build), no operations layer (model drift goes undetected), and no engineering layer (failure modes unmapped). AI-SWF addresses all three with one unified framework.

What is CADA Steering in AI-SWF?

CADA Steering is the Operations layer of AI-SWF. It stands for Context, Action, Deliverables, and Actors — an operating cadence that keeps strategy and engineering synchronized at every stage, from pilot through production.

AgileGenAI is the Engineering layer of AI-SWF — a six-stage evidence-driven delivery methodology for Generative and Agentic AI systems, from Discovery through Continuous Improvement, with measurable gates and failure taxonomies at every step.

Who are the authors of the AI Steering Wheel Framework?

The AI Steering Wheel Framework was co-authored by Dr. Fouad Bousetouane, an AI Strategy and Product Leader, and Mani Khanuja, an AI Engineering Lead specializing in Agentic Systems.

AI-SWF · The AI Steering Wheel Framework

The Unified Framework

Three Layers One System

Each layer addresses a specific failure mode. Together they form the complete operating model for building AI products that survive contact with the real world.

Strategy Layer

7 Phase Roadmap

What to build, whether it is worth building, and the governance constraints that must be resolved before engineering begins — from vision through scale.

Direction

Operations Layer

CADA Steering

Context, Action, Deliverables, Actors: the operating cadence that keeps strategy and engineering synchronized at every stage, from pilot to production.

Alignment

Engineering Layer

AgileGenAI

Six evidence-driven stages from Discovery through Continuous Improvement with measurable gates, failure taxonomies, and production monitoring at every step.

Delivery

Framework Overview

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30s OverviewInteractiveFull Framework

The Problem Today

Why AI Pilots Never Scale

The technology is not the bottleneck. The absence of a shared operating model connecting strategy, engineering, and operations is.

No Strategy Layer

Agents access the wrong data. Governance reviews arrive after the architecture is fixed. Reversing it is costly.

No Operations Layer

Model drift goes undetected. The system aligned at launch is not the same one running six months later.

No Engineering Layer

Retrieval fails silently. Failure modes are never mapped. Production exposes what testing should have caught.

The AI Steering Wheel

The Enterprise Guide

The AISteering
Wheel

Unified Framework for Scaling
Generative and Agentic Systems

Dr. Fouad Bousetouane
Mani Khanuja

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The Book

A Complete Operating Model for AI Product Teams

Seven chapters. Two live case studies. Three layers built for product managers and engineers who are ready to build AI products that last.

7 Chapters2 Case StudiesSingle AgentMulti-AgentEnterprise Scale

Frameworks

7 Phase Roadmap · AgileGenAI · CADA Steering

Audience

Product Managers · Engineers · AI Program Leads

Case Studies

Executive Assistant at small scale · Customer Support at enterprise scale

Certification

Three training tracks built directly from the book content

The book is currently being written. Publication forthcoming.

Notify Me on Launch Sample Chapter — Coming Soon

Dr. Fouad Bousetouane

AI Strategy & Product Leader
Framework Architect

Mani Khanuja

Principal Generative AI Solution Architect
Agentic Systems Practitioner

The Authors

Built by Practitioners

The AI Steering Wheel Framework was developed by two practitioners who have spent years building, deploying, and governing AI products at enterprise scale.

Co-Author · Framework Architect

Dr. Fouad Bousetouane

Co-Founder & Chief AI Officer, InterspectAI · Lecturer, University of Chicago

Dr. Fouad Bousetouane is an award-winning artificial intelligence expert, educator, and innovation leader. He is the Co-Founder and Chief AI Officer of InterspectAI, where he develops AI-augmented solutions designed to transform how organizations operate and compete. He also serves as a Lecturer at the University of Chicago, teaching Generative AI and Agentic Systems and mentoring graduate students on high-impact, real-world AI applications. Over the course of his career, Dr. Bousetouane has led global AI and innovation initiatives for Fortune 500 companies, translating cutting-edge research into scalable, production-grade systems. He is a published author and holds more than 50 patents and trade secrets in artificial intelligence. His work has earned international recognition, including being named among the Top 30 AI Scientists by MIT Technology Review, receiving the Timmy Award for Best Tech Manager in Chicago, and being recognized as one of the Top Emerging Leaders in the United States by Marquis Emerging Leaders Magazine. His contributions to agentic architectures, evaluation methodologies, and governance frameworks form the strategic foundation of The AI Steering Wheel.

AI Strategy Agentic Systems Enterprise AI 50+ Patents

LinkedIn Direct Contact

Co-Author · Principal Generative AI Solutions Architect, AWS

Mani Khanuja

Author · Applied Machine Learning and High-Performance Computing on AWS

Mani Khanuja is a Principal Generative AI Solutions Architect at AWS and the author of Applied Machine Learning and High-Performance Computing on AWS. A pioneering researcher who co-authored the highly regarded paper "Keyword search is all you need: Achieving RAG-level performance without vector databases using agentic tool use," her current work focuses on advancing Agentic AI through the personalization of AI agents and the development of stateful agents using memory — insights she regularly shares in her "Agentic Enterprise" newsletter. She is also a recognized technical speaker, delivering high-impact YouTube sessions and conference keynotes on RAG, context engineering, distributed training, and feature stores, including notable deep-dives like "Building Context-Aware AI Agents with Amazon Bedrock AgentCore Memory." Outside of architecting scalable AI solutions, she resides in Seal Beach, California, where she stays active with long runs along the coast.

Agentic AI AWS GenAI Stateful Agents

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Endorsements

Leader Endorsements for AI-SWF

Early endorsements highlighting how AI teams align strategy, delivery, and governance into one operating rhythm.

Yasser Alsaied

President of Facilis.ai · Former VP of IoT AWS · VP of IoT Qualcomm

“Across the GCC and emerging technology markets, the single greatest barrier to AI success is not talent or investment, it is the absence of a shared operating structure between strategy and delivery. For years, I have watched well-funded programs fail because leaders, engineers, and delivery teams were never working from the same understanding or toward the same focus. The AI Steering Wheel closes that gap with a three layer framework that aligns every stakeholder from the C-suite to the engineering floor around a single, unified operating rhythm. For any organization serious about moving AI from pilot to production at scale, this is the operating manual the enterprise AI era has been waiting for.”

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The AISteeringWheel

Three Layers One System

7 Phase Roadmap

CADA Steering

AgileGenAI

Why AI Pilots Never Scale

A Complete Operating Model for AI Product Teams

Built by Practitioners

Dr. Fouad Bousetouane

Mani Khanuja

Leader Endorsements for AI-SWF

Talk Directly with Dr. Fouad Bousetouane

The AI
Steering
Wheel