From Billable Hours to Outcomes: Building Agent Practices That Actually Make Money

The enterprise applications services industry is facing its most significant business model disruption in decades. McKinsey now earns 20–25% of global fees from outcome-based pricing. They’ve deployed approximately 12,000 AI agents internally and shrunk typical project teams from 14+ consultants to 2–3 consultants plus AI agents. Meanwhile, 42% of companies abandoned most AI initiatives in 2025, and the average enterprise scrapped 46% of AI pilots before production. This speech delivers a practitioner’s playbook for system integrators building AI agent practices that actually make money. Drawing from a decade of enterprise software experience across multiple continents and ecosystems, the speaker introduces the Culture–Context–Code framework and a realistic 90-day sprint to first agent in production, followed by a 9-month transformation roadmap. Attendees will leave with a concrete operating model, specific pricing structures with real numbers, a step-by-step execution timeline, and a clear understanding of how to navigate the EU AI Act, DORA, and NIS2 regulatory landscape while building AI agent practices.