Viral Waghela
AI Automation Specialist building agents, workflows & integr
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Built an appointment management module inside LeadLens CareOS to centralize scheduling and reduce fragmented clinic operations.
The system tracks appointment status, services, therapists, and patient records in one place, while supporting scheduling and updates through a structured workflow.
This module connects with the wider CareOS system so appointment data can feed follow-ups, patient intelligence, and automation workflows.
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Built an approval-first automation layer inside LeadLens CareOS to handle repetitive clinic workflows without giving AI unrestricted control.
The system can prepare actions for inactive-patient recovery, package renewals, and business-growth workflows, then route them for review before anything external is executed.
The focus was on combining AI, business rules, workflow automation, and human oversight into a system that is useful in real operations—not just a standalone chatbot.
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LeadLens CareOS combines CRM workflows, AI-powered insights, and approval-first automation. These screens show patient management, prepared AI actions, and operational dashboards designed to reduce repetitive admin while keeping humans in control.
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Built an approval-first AI workflow for LeadLens CareOS.
The system prepares customer-facing actions such as inactive-patient follow-ups, but nothing is sent automatically. Each action includes the exact payload, context, and expected impact, then waits for human approval before execution.
This is the type of AI automation I focus on: useful enough to reduce repetitive work, but controlled enough that businesses keep oversight of important actions.
Built with AI workflows, structured logic, approvals, CRM data, and business-process automation.
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