Agents
Case study 1
Product information and order placement agent
(Will have API tool for product inventory and ordering APIs will allow booking products based on specifications)
Case study 2
Medical Appointment booking agent
(Would first help find relevant doctors and then help find available appointments with them using calendly api)
Case study 3
L1-L2 support
(Will have API tool for product inventory and ordering APIs will allow booking products based on specifications)
Case study 4
Document processing Agent
Would take document as input and would help extract all the emails and phone numbers from it.
Case study 5
Research paper summarisation agent
Will take research papers in pdf format and give a summary to the user.
Frequently Asked Questions
Event Plus is an app that helps organizers and companies host events and conferences with ease. It allows them to create, edit, and manage their events, invite and register attendees, communicate with speakers and sponsors, collect feedback and data.
AI Agents help businesses automate repetitive tasks, improve decision-making, and enhance customer experience. They increase efficiency, reduce operational costs, and enable real-time data-driven insights.
AI Agents are more advanced than traditional chatbots. While chatbots handle specific queries, AI Agents can learn from interactions, perform complex tasks, and adapt to changing scenarios, making them ideal for dynamic business environments.
AI Agents are versatile and can be applied in industries like healthcare (patient monitoring), e-commerce (personalized recommendations), finance (fraud detection), and customer service (virtual assistants).
Yes, reputable AI Agent platforms prioritize security by using encryption, regular audits, and compliance with global data protection regulations like GDPR and CCPA. However, businesses should ensure proper implementation and monitoring.
Most AI Agents are designed to integrate seamlessly with CRM systems, ERP software, and other business tools. Integration enhances workflow efficiency and ensures a unified data ecosystem.
AI Agents can perform tasks like:
- Natural Language Processing (NLP) for understanding text or speech.
- Predictive Analytics for forecasting trends.
- Task Automation for repetitive operations.
Data Analysis for actionable insights.
Costs vary based on the complexity and functionality required. Basic AI Agents may cost less, while advanced agents with machine learning and deep learning capabilities can be more expensive but offer higher ROI.
AI Agents provide personalized responses, resolve queries faster, and are available 24/7. Their ability to learn customer behavior enhances satisfaction and fosters loyalty.
AI Agents are evolving with advancements in machine learning, deep learning, and quantum computing. They are expected to play a significant role in areas like personalized healthcare, autonomous systems, and smart city development by 2030.