The Enterprise Guide

The AI
Steering
Wheel

Unified Framework for Scaling Generative and Agentic Systems

Three interlocking layers: Strategy, Operations, and Engineering keep AI products aligned from the first decision through the last deployment.

7 Phase Roadmap CADA Steering AgileGenAI · 6 Stages
Strategy
7 Phase Roadmap
Operations
CADA Steering
Engineering
AgileGenAI
3
Interlocking Layers
7
Roadmap Phases
6
AgileGenAI Stages
2
Live Case Studies
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.

01
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
02
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
03
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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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.
FB
Dr. Fouad Bousetouane
AI Strategy & Product Leader
Framework Architect
MK
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.

Dr. Fouad Bousetouane
FB
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
Mani Khanuja
MK
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
Endorsements

Leader Endorsements for AI-SWF

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

Yasser Alsaied photo
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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Direct Contact

Talk Directly with Dr. Fouad Bousetouane

Have a question about the framework? Exploring enterprise AI strategy, agentic system implementation, research collaboration, a keynote invitation, or executive advisory? Dr. Bousetouane reads every message personally. Share what you're working on — and let's find out if there's a fit.

Dr. Bousetouane responds personally within 24–48 hours.