Название: Output to Outcome: An Operating Model for the Age of AI
Автор: Mik Kersten
Издательство: IT Revolution
Год: 2026
Страниц: 310
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

In the Age of AI, the constraint has shifted from producing outputs to delivering outcomes.

As AI automates knowledge work at unprecedented scale, most organizations remain trapped measuring the wrong things—lines of code, features delivered, and other outputs that AI can now produce almost for free. The real constraint has shifted to organizational structure and the ability to turn strategy into measurable business outcomes.

Dr. Mik Kersten—bestselling author of Project to Product, creator of the Flow Framework, and independent technology strategist and researcher—reveals why AI productivity gains are failing to materialize for most companies and provides a comprehensive operating model to unlock AI's transformative potential. Drawing on data from over 8,000 value streams, Kersten shows that success in the Age of AI depends entirely on how effectively organizations can connect inputs to outcomes through continuous feedback loops.

The book introduces the Product Operating Model built around the Outcome Loop that connects strategy to results, the Outcome Tree that scales this approach across organizations, and seven critical shifts including moving from functional silos to flow-optimized value streams, from vanity metrics to meaningful measurement, and from chaotic structures to unified planning cadences.

With detailed implementation guidance including Flow Metrics, Outcome Roadmaps, and practical tools for restructuring organizations into modular value streams with clear ownership, Output to Outcome provides both the strategic framework and tactical playbook executives and technology leaders need to transform their organizations from output factories into outcome engines—before their competitors do.

Software products that would take multiple teams a year to build can now be created by teams of agents in minutes. In early 2026, Anthropic built the Claude Cowork product using Claude Code AI in a span of ten days, while a software engineer on Reddit described using AI to build a full-featured web browser over the holidays. We are witnessing productivity increases of an order of magnitude or more. Unfortunately, most organizations are not structured to leverage these gains. For example, the Project to Product State of the Industry Report reviewed in the following chapters indicates that for a typical enterprise, the number of development teams could be doubled with no appreciable increase in business outcomes. While some elite organizations are wielding these growing capacity gains today, the majority are being left behind. In a world of abundant knowledge production, becoming AI native means shifting our organizations’ operating model and our professional focus from building outputs to delivering outcomes.

The thesis of Output to Outcome is that once AI removes knowledge output as the limiting factor, productivity becomes constrained by organizational structures and processes. The Theory of Constraints states that in any complex system, whether a manufacturing process or a workflow, there is at least one bottleneck or limiting factor that determines the overall throughput of the system. The production of knowledge work outputs is no longer the constraint. Those that address organizational constraints will see a snowball effect on productivity and success, while those that do not reengineer their operating model will become uncompetitive and decline. As knowledge work output ceases to be the constraint, leaders must shift away from managing outputs to managing outcomes. For our purpose, outcomes are defined as measurable changes that deliver against an agreed-upon definition of value. What constitutes value varies by organizational, market, and customer context.

“At Vanguard, we’ve seen firsthand that meaningful transformation requires more than new technology. It requires a data-driven operating model that improves how we create and deliver value. In Output to Outcome, Mik Kersten provides a practical framework for establishing that robust data-driven operating model, allowing you to scale up in a world increasingly shaped by AI.” -- Michael Carr, Chief Technology Officer, Vanguard

“After transforming how we measure and manage software delivery with the Flow Framework in Project to Product, [Mik Kersten] is now guiding enterprises through the deeper AI transition. In Output to Outcome, he provides the vocabulary, models, and practical frameworks needed to turn AI into a genuine operating system for the enterprise—not just another feature. If your company is serious about surviving and thriving in the AI era, Output to Outcome is essential reading.” -- Pieter Jordaan, Group Chief Information Officer, TUI Group