By Jonathan Davis Published by ScaledLearning Available now

Outcome-Driven AI

Beyond the Feature Factory

Shipping more features faster, now with AI, is not the same as making a difference. How to point AI and agents at outcomes instead of output: define the change in behavior you want, let AI help measure it continuously, and redirect work toward what actually moves customers and the business.

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What you'll learn

• Spot the signs of a feature factory and its hidden costs
• Define outcomes as observable changes in customer and team behavior
• Use AI and agents to measure outcomes continuously
• Redirect roadmaps, funding and governance toward outcomes

Contents

1. Chapter 1 Life in the feature factory
2. Chapter 2 Outcomes over output, in the age of AI
3. Chapter 3 Defining outcomes people can see
4. Chapter 4 AI that measures what matters
5. Chapter 5 Redirecting work with agents and evidence
6. Chapter 6 Funding and governing for outcomes
7. Chapter 7 Leaving the factory for good

By Jonathan Davis · Published by ScaledLearning