r.Potential appoints Paul Maher as President of Ecological Cooperation and AI Transformation
This former Microsoft executive has extensive experience in cloud and AI products, digital markets, as well as the expansion of the global partner ecosystem.
San Francisco, October 27, 2026 / PRNewswire / -- Today, we announce that Paul Maher has joined the company as President of Ecosystem Cooperation and AI Transformation. Maher is a technology executive with experience in building products, expanding platforms, and transforming cloud, AI, and market strategies into measurable customer outcomes and business growth.
Maher possesses leadership experience in product development, engineering, market expansion, partner ecosystem management, and customer success. He will help to expand the system and partner ecosystem of r.Potential, enabling the company to identify to what extent AI can make a substantial impact, and to independently measure whether the expected business and employee outcomes are being achieved.
“AI creates potential, but it is execution that makes a difference. r.Potential provides the independent systems that enterprises need to connect technical decisions with work design, measurable results, and continuous learning. I am delighted to bring my experience in products, engineering, cloud, and partner ecosystems to help companies move from experimentation to evidence-based practices.”
—— Paul Maher, r.Potential Ecological Cooperation and AI Transformation President
Maher previously worked at Microsoft, serving as a partner and general manager, responsible for Marketplace FastTrack. Marketplace FastTrack is Microsoft's Center of Excellence for Marketing, which helps software companies and service partners to bring cloud, AI, and professional services to Microsoft Marketplace, to securely complete transactions, and to reach customers on a scaled basis. In this role, he collaborated with product, engineering, sales, marketing, and customer success teams to accelerate adoption rates, enhance market capabilities, and support the business models required for successful market entry.
Maher is a technical leader with extensive experience in fields such as banking, insurance, retail, healthcare, manufacturing, media, and telecommunications. He has helped to create market-influential products and build and expand large-scale, mission-critical cloud solutions. His career has encompassed product and engineering leadership, corporate transformation, digital marketing, and global ecosystems. In these roles, he has assisted global companies in transforming cloud and AI innovations into measurable customer outcomes and business growth.
r.Potential establishes a mapping between companies, positions, tasks, skills, and the AI deployment of enterprises. This system transforms market signals into governed "potential units" ( Unit of Potential ): a bounded decision that defines which tasks will change, how personnel will be affected, what the expected outcomes are, what evidence is required, and what the next steps are. The result is a record that tracks the entire decision-making process from estimation to deployment and measurement.
“Paul knows how to transform emerging technologies into products and business models suitable for enterprise scales. His experience covers product development, engineering, market expansion, digital markets, and customer success, and he understands that mere deployment does not prove value. As we expand the system of r.Potential and its partner ecosystem, his perspective will be of great value.”
– Greg Shewmaker, r.Potential Chief Executives
About r.Potential
r.Potential is an independent decision-making and validation system that focuses on how AI can change its operations. It is also the creator of the first evaluation tool " Unit of Potential " used to measure the deployment of AI. The company receives support from The Adecco Group and Salesforce to help leaders decide which tasks should be handled by AI and which should be retained by humans, and to prove whether such changes have yielded results. Its system is built based on a proprietary perspective of the company, positions, tasks, skills, and the enterprise's AI deployment, and it creates a governed record from the initial estimation to the final measurement results. r.Potential was established in 2025 and is headquartered in San Francisco.
For more information, please visit rpotential.ai.
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r. Potential Press
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