Use cases for AI Agent..

Devansh00
Tera Contributor

‎04-23-2025 04:19 AM

 
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Tushar
Kilo Sage
Kilo Sage

‎04-23-2025 05:52 AM

Hi @Devansh00 

Healthcare: Optimized patient care A hospital utilizes AI agents to analyze patient data and automate appointment scheduling based on availability and urgency. Shorter wait times for patients and more efficient resource allocation.
HR and Onboarding: Digital employee integration A tech company implements Agentic AI to automatically provide new employees with relevant information and respond to their inquiries. Faster onboarding and increased employee satisfaction.
Energy and Utilities: Smart grid monitoring and maintenance An energy provider uses Agentic AI to monitor power grids. AI agents analyze real-time sensor data to detect potential outages or overloads. Reduced downtime, optimized maintenance schedules, and improved grid stability.
Manufacturing: Predictive equipment maintenance A production company implements Agentic AI for preventive maintenance, analyzing machine data to detect potential failures early. Reduced downtime, extended equipment lifespan, and lower maintenance costs.

 

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Sandeep Rajput
Tera Patron
Tera Patron

‎04-23-2025 06:18 AM

@Devansh00 

  • Automated Ticketing and Incident Resolution: AI agents can autonomously create, assign, and resolve IT tickets, handle software provisioning for new employees, and close resolved incidents, reducing manual workload and speeding up response times.
  • Proactive Incident Detection: Predictive AI agents monitor system health, detect anomalies, and alert IT teams about potential issues before they escalate, enabling proactive maintenance and minimizing downtime.
  • Knowledge Management: AI agents curate, update, and deliver relevant knowledge base articles to users and staff, ensuring access to up-to-date information.
  • Conversational AI Agents: These agents interact with customers via chat or voice, resolving common queries instantly, routing complex issues to human agents, and reducing wait times[4][3].
  • Intelligent Ticket Routing: AI agents analyze incoming requests and route them to the appropriate department or specialist, optimizing workflow and improving first-contact resolution rates.
  • Customer Self-Service: AI-powered virtual assistants empower customers to resolve issues independently, enhancing satisfaction and reducing support costs.