Authors - Murali Mohan Reddy Seelam, VyshnaviThanneeru, Ajay Kumar Reddy Vemireddy, Srilatha Kudumula Abstract - This paper shows a new approach to implement the Agentforce-NS framework to provide zero touch salesforce deployment pipelines by integrating it with the Neuro Symbolic AI Agents. Even though the complete salesforce deployment pipelines have been automated end to end, it has been very difficult to achieve zero touch deployments due to its nature of the handling of metadata due to the interdependency of the components within the salesforce. The regular pipeline processes still heavily depend on the manual intervention to resolve the merge conflicts, resolve the dependency errors, working on the roll back deployments and following the compliances. The architecture we are proposing will solve all these problems by integrating the adaptive and predictive capabilities of the neural networks with rule based, transparent precision of the symbolic reasoning. The proposed Agentforce architecture will have five agents that will collaborate and will execute the deployments without any human intervention. These five agents are used to learn the deployment strategies, roll back planning, analyzing the metadata, autonomous execution and verification of the governance. After many tests in the enterprise level environments, we see that it is resolving so many blockers, issues and increasing the deployment success rate, improving the governance, and reducing the meantime to recover. By covering the technical gap between logical interface and the deep learning, the Agentforce-NS represents a break through advancement to have the fully automated, autonomous and auditable salesforce devops pipelines.
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