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Centralize technical knowledge and automate diagnostics in legacy systems, streamlining precise solutions and optimizing critical resources.

AI Solution Type: AI Agent that includes a conversational interface or AI chatbot

Traditional Process: Many organizations still depend on systems developed in legacy languages like Cobol, Fortran, or even old versions of Java, used in critical applications. These systems are often deployed in various versions and configurations, complicating the resolution of technical problems. The traditional approach requires highly qualified specialists to manually analyze incidents, consult manuals, lessons learned, and adjust configurations or code, which can be a slow process prone to errors due to variability in available knowledge and resources.

Application of a Virtual Assistant with AI:

1. Advanced contextual recognition and analysis: The virtual assistant interprets requests in natural language, such as: "Error compiling in Fortran version 4.1" or "Performance problems in the payroll application based on Java 6". It automatically identifies the version and configuration of the affected software, considering the particularities of the language and deployment region, and offers responses tailored to the specific context.
2. Comprehensive and updated knowledge base:

• Manuals and technical documentation: All software versions are centralized and permanently updated.
• Lessons learned: Previously documented experiences about successful solutions to recurring or complex problems.
• Specific instructions: Detailed guides for code adjustments, system configurations, and solution steps.

1. Automation of diagnosis and preliminary solutions:

• Uses diagnostic tools to automatically identify the root cause of the problem, analyzing execution logs, system dependencies, or specific configurations.
• Provides automated solutions for common problems, such as parameter adjustments or implementation of minor patches.

1. Intelligent escalation and detailed support:

• When a problem exceeds the assistant's capabilities, a comprehensive technical report is generated with a description of the problem, technical context, and attempted solutions.
• Specialists can focus directly on the advanced solution without losing time on preliminary analysis.

1. Continuous learning capabilities: The assistant collects information from each interaction, continuously improving its ability to handle similar problems and updating its knowledge base with new solutions.

Benefits:

• Consistency and precision in solutions: By integrating updated technical documentation and previous experiences, it provides uniform responses adapted to each situation.
• Reduced resolution times: Automates diagnosis and consultation of knowledge bases, accelerating incident response.
• Optimization of human resources: By managing basic problems, it frees up specialists to focus on critical tasks.
• Scalability: Can handle multiple simultaneous requests, avoiding bottlenecks in technical support.
• Knowledge preservation: Centralizes and streamlines valuable information, reducing the impact of staff turnover.

Conclusion: A virtual assistant with AI designed for legacy systems, like Cobol, Fortran, or Java, transforms technical management by combining automation, continuous learning, and immediate access to comprehensive documentation. Organizations overcome challenges of multiple versions and configurations, optimizing resources and ensuring faster, high-quality support.