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      Aixle Launches to Help Organizations Define How Work Runs in the Age of AI

      Aixle AI Operating Model Launches

      New AI Operating Model from Dualboot Partners enables organizations to govern, execute, and continuously improve work performed by people and AI

      CHARLOTTE, N.C.--(BUSINESS WIRE)--Dualboot Partners today announced the launch of Aixle, an AI Operating Model designed to help organizations define, govern, and continuously improve how work is performed across people and artificial intelligence.

      Over the past several years, organizations have rapidly adopted AI tools, copilots, and agents. Yet while the technology has advanced, the way work operates inside most businesses has not. AI initiatives often remain isolated pilots, disconnected workflows, or individual productivity gains, leaving leaders with limited visibility into performance, governance, or business impact.

      Aixle was built to solve a different problem. Rather than introducing another AI application, Aixle provides an operating model that defines how work should run when people and AI work together. It establishes the policies, governance, execution model, and continuous feedback required to move AI from isolated experimentation into governed systems of work.

      "We believe companies don't have an AI tooling problem. They have an execution problem," said Ben Gilman, CEO of Dualboot Partners. "The next generation of competitive advantage won't come from deploying more AI. It will come from defining how work operates across people, AI, and business systems. That's exactly what Aixle was built to do."

      At the center of Aixle is Workflow, the company's first commercial offering. Workflow helps organizations identify high-value business processes, redesign them for AI-enabled execution, and implement governed systems that improve speed, quality, visibility, and cost over time.

      The Aixle Sprint is how organizations enter Workflow. Over five weeks at a fixed price with no long-term commitment, the Sprint maps how work runs today, ranks the highest-value opportunities for AI-enabled execution, and delivers a blueprint for how the redesigned system should operate. Implementation builds directly from that blueprint, and Dualboot operates the result through ongoing managed services, improving workflows as business priorities evolve.

      Every Workflow engagement is guided by the Aixle Operating Model:

      • Plan defines business objectives, governance policies, identity, security, and the context required for intelligent execution.
      • Execute orchestrates work across people, AI agents, and enterprise systems while monitoring performance, cost, and compliance.
      • Evolve continuously evaluates outcomes, escalates work requiring human judgment, and improves the system through ongoing learning and optimization.

      People remain accountable throughout the process, and the system is built to escalate rather than override.

      "When AI reaches a decision that requires human judgment, the system stops," said Billy Boozer, CTO at Dualboot Partners. "Every agent has an identity. Every action is traceable. Every outcome is measured against the business objectives established during planning."

      Initial market focus includes Financial Services, Healthcare, and Manufacturing, where governed execution, compliance, operational visibility, and measurable business outcomes are critical to competitive advantage.

      About Dualboot Partners

      Dualboot Partners helps organizations define how work should run in an AI-enabled world and delivers the systems and services to operate it. Working across strategy, design, engineering, and AI, the company builds and runs governed systems of execution so businesses can perform, adapt, and improve over time. Dualboot uses Aixle internally as the first application of its own model. The company is headquartered in Charlotte, North Carolina, with teams across the United States, Europe, and Latin America.


      Also Read:

      Prompt Injection Attacks: The Rising AI Security Risks





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