S/BES exists to help organizations recognize, measure and reward the human contribution that traditional performance systems routinely miss.
At the center of that work is Contributive Value (CV), a framework developed to make the full range of human contribution more visible and connect it to the outcomes that matter. As AI changes how work gets done, understanding that contribution becomes even more important. S/BES helps organizations build the systems and practices needed to recognize what people uniquely contribute, strengthen those capabilities and align them with organizational success.
1984. Rod Brown advising a retail client that became an international wholesaler.
Rod Brown is the founder of S/BES and the creator of Contributive Value. His career spans more than four decades across Fortune 500 companies, startups and entrepreneurial ventures, with experience in sales, leadership, business development and organizational transformation.
His work includes leadership roles with Xerox, Dell and Oracle/PeopleSoft, as well as non-profit organizations including Lutheran Social Service and the African American Leadership Forum, where he experienced firsthand how organizations measure performance, develop people and adapt to major technological and market change.
Those experiences ultimately shaped the fundamental question that has guided his work:
His forthcoming book, Don’t Let AI Eat You Alive, provides an answer to this question.
The Contributive Value framework didn’t emerge from academic theory or management consulting trends—it was born from direct observation of a fundamental disconnect in how organizations measure and reward human contribution. The origins trace back to the Xerox Corporation, during one of the most studied corporate turnarounds in 1980s American business history.
Xerox’s remarkable recovery from losing significant printer and copier market share to Japanese competitors has become a business school case study in transformation. In 1983 Xerox launched its new “Leadership Through Quality” initiative, which reversed what seemed like inevitable decline. In November 1989, Xerox Business Products and Systems won the Malcolm Baldrige National Quality Award — evidence that the company had rebuilt its quality-management system against intense Japanese competition.
By the time I joined in 1987, the company had spent four years rebuilding how it measured products. I expected that same rigor to extend to how it valued its people. What I found instead was a paradox: product quality could be measured with precision while individual contribution remained largely subjective, addressed only through separate, disconnected initiatives for workforce diversity and inclusion.
Those programs, however well-intentioned, operated in isolation from the business operations that Leadership Through Quality had transformed. Nothing connected what people actually contributed to the quality outcomes that had saved the company. The question became obvious, if benchmarking and systematic measurement could transform product development and manufacturing, why couldn’t the same rigorous approach revolutionize how we understand and reward human contribution?
This disconnect sparked what would become a four-decade journey developing the Contributive Value framework. The first iteration, copyrighted in 1992 under the name “Re-versity,” attempted to bridge this gap by creating measurable connections between individual contributions and business outcomes. While the technology to fully implement such a system wouldn’t exist for another 25 years, the core insight was sound: organizations needed integrated frameworks that measured the full spectrum of human contribution with the same rigor they applied to product quality.
What began as frustration with disconnected corporate initiatives evolved into a comprehensive framework for measuring, rewarding, and aligning human contribution with organizational success. The arrival of artificial intelligence did two things at once. It made this measurement possible for the first time, and it made it urgent.
If these principles are true, then organizations need comprehensive measurement frameworks that capture the full spectrum of human contribution—including the collaborative, innovative, and integrative work that traditional metrics miss. And if we could measure these contributions rigorously, we could align rewards with actual value creation and finally see the contribution current systems leave invisible, whoever produced it, and however it was produced.
Discover how we work with organizations using OUTSMART and CV to accurately measure human contribution and AI Agent contribution and connect them both to organizational impact.
First Principle #1: Organizations succeed by creating value for stakeholders.
This is axiomatic—whether for-profit or non-profit, public or private, organizations exist to create specific value for defined constituencies. Everything else is instrumental to this purpose.
First Principle #2: People create organizational value through their contributions.
In knowledge-based and service organizations, human contribution is the primary value-creation mechanism. Products, services, innovations, and customer relationships all flow from what people do and how they work together.
First Principle #3: What gets measured gets managed and rewarded.
This was Xerox’s own lesson from the quality revolution. When they started measuring defect rates, process cycle times, and customer satisfaction systematically, those metrics improved dramatically. Conversely, unmeasured contributions remain invisible and unrewarded regardless of their actual impact.
First Principle #4: Traditional metrics capture only a fraction of value creation.
Sales quotas, production output, project completions—these measure easily quantifiable transactions but miss the collaborative problem-solving, knowledge transfer, innovation catalysis, cultural bridge-building, and adaptive leadership that create sustainable competitive advantage.
First Principle #5: When people and AI Agents produce together, contribution has to be attributed separately.
Agentic systems now participate directly in work that used to be entirely human. An organization that cannot distinguish what a person contributed from what an agent produced is still making pay, promotion, and accountability decisions on evidence it no longer has.
Between late August and early September 2026, three events made the measurement problem concrete.
Uber cut roughly 3,300 roles — about 10% of its workforce — while removing management layers and broadening spans of control. Uber did not attribute the cuts to AI. That is the point: as coordination work moves into systems, organizations need better evidence of which human contributions remain essential and which work can be absorbed elsewhere.
Reuters, Sept. 2, 2026
EY committed $100 million to reward judgment, leadership, business acumen, collaboration, and adaptability. A Big Four firm has put real money behind human capabilities that become more important as AI takes over routine work. Those capabilities closely track the Contributive Value dimensions, yet the rewards still depend heavily on nominations and spot awards rather than a verifiable contribution system.
EY US press release, Aug. 31, 2026; The Wall Street Journal
NVIDIA agreed to acquire Hugging Face for $12.9 billion, including roughly $1 billion in equity to retain employees joining NVIDIA. Even where technology is the asset, human contribution is being priced and rewarded separately.
NVIDIA, Form 8-K, Sept. 3, 2026
Jamil Evans is co-founder of S/BES and leads technical architecture, security, and development for the Contributive Value platform.
He is also President and Chief Technology Officer of Evans & Chambers Technology, a Washington, D.C. firm founded in 2003 that builds secure systems for commercial enterprises and government agencies. Evans & Chambers built and brought to market Security Control, a SaaS platform that manages security clearance compliance for enterprise customers — a product that handles sensitive personnel data under federal requirements. That is the closest available proving ground for what Contributive Value asks of an organization.
Across the company Jamil has led business development, technology consulting, product management, and product development. His own hands-on work is writing code that securely automates business processes and lets people collaborate across boundaries that normally block them. He builds security-first, and he holds that software should be organized around the people using it, which is the premise Contributive Value rests on.