If your AI pilots aren’t turning into real business value, the problem likely isn’t the tech itself—it’s the operating model. The 5Rs Framework offers a structure to align teams, processes, and incentives so AI can move from experimentation to enterprise-wide impact. Here are the five areas to focus on.
Roles. Clarify who owns what. Define responsibilities across sponsors, product owners, data scientists, and risk managers to avoid gaps, handoff delays, and misaligned incentives. This keeps initiatives moving forward across teams.
Responsibilities. Make ownership last beyond launch. Assign accountability for adoption, monitoring, and retraining. Without continuous engagement, models drift and value disappears. Set expectations early—and make them stick.
Rituals. Establish consistent check-ins. Project kickoffs, weekly reviews, and post-launch meetings keep everyone aligned. These touchpoints create habits that surface issues early and support continuous iteration.
Resources. Standardize your toolkit. Use shared templates, frameworks, and architectures to avoid starting from scratch. This reduces delivery time and ensures responsible AI practices are built in from the beginning.
Results. Define success before you start. Tie metrics to business outcomes, not just technical accuracy. Track real impact like adoption rates, churn reduction, or profitability to prove value and guide decisions. |
