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Yes. Polyosync Autonomous Workflows are designed to evaluate execution progress and determine subsequent work based on the objective and available results. This makes them different from automations that rely entirely on a predefined sequence. How does the orchestrator adapt? The orchestrator receives information about the workflow's progress, including completed tasks and recent execution results. It can use this context to determine which tasks should be performed next. It can also recognize when further work is necessary to satisfy the original objective. Does the orchestrator verify completion? Polyosync includes objective-completion verification logic. The system evaluates requirements against recorded evidence from completed tasks rather than relying solely on a general statement that the work is finished. This helps distinguish completed work from an unsupported completion claim. Can a workflow follow dependencies? Yes. The orchestration model supports task dependencies and conditional relationships. This helps coordinate activities that must happen in a particular order or depend on previous results. Can it make unrestricted business decisions? No. Autonomous execution remains subject to configured capabilities, operational controls, approvals, and execution limits. AI-generated decisions and outputs can also be incorrect or incomplete. Businesses should maintain appropriate human oversight for consequential decisions. What happens when the objective cannot be completed? The workflow may stop, fail, or wait for a required condition or approval. Its execution history provides information that can help users investigate the outcome. The value of adaptive orchestration is that businesses can define an outcome while allowing the platform to coordinate suitable intermediate work, without requiring every possible step to be manually specified beforehand.