Hi, I’m Ramel Flores, an AI Automation & Integration Specialist with hands-on experience designing end-to-end, no-code and low-code automation solutions that transform manual, reactive processes into scalable, data-driven workflows. I leverage tools like Zapier, Make, and n8n, along with generative AI models such as Gemini and ChatGPT, to diagnose operational inefficiencies and build practical solutions.
I bring a strong foundation in workflow automation, system integration, and AI to diagnose problems, architect scalable processes, and empower teams through training and onboarding. I collaborate with stakeholders to translate complex requirements into repeatable automations that reduce manual work and accelerate decision-making.
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This project focuses on improving the customer support process by integrating AI-powered automation into a traditional support workflow. I analyzed the existing workflow, identified key bottlenecks such as long wait times, poor issue resolution, and inconsistent customer interactions, and designed an AI-enhanced solution to streamline operations.
The proposed solution incorporates AI chatbots, intelligent ticket routing, knowledge-base assistants, predictive routing, and self-service portals to automate routine customer inquiries, reduce response times, improve first-contact resolution, and decrease ticket escalations. The workflow also includes performance metrics comparing expected improvements before and after AI implementation, demonstrating significant gains in efficiency and customer satisfaction.
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