Systems | Development | Analytics | API | Testing

The Fastest Way to Create a Smart Appointment Booking AI Agent | Demo

Imagine an AI agent that can handle patient appointment scheduling from start to finish. That’s exactly what our AI Product Strategist Ayesha Amjad built using Astera AI Agent Builder. With Astera’s low-code and drag and drag-and-drop interface, she created an intelligent agent that can: Ask for symptoms and recommend the right doctor Verify insurance and calculate co-pay details Show available appointment slots Schedule appointments and send confirmation Manage the entire experience without human involvement.

What Are Model Context Protocols (MCPs) and How Does Astera AI Agent Builder Use MCPs

Everyone is talking about MCPs. But what are they really? In Episode 2 of Round Table Series, we explore Model Context Protocols (MCPs) - the core framework that powers real-time tool interaction within Astera’s AI Agent Builder. Join our experts Maha Hanfi (AI Evangelist and Director of Marketing), Furqan Saeed (Senior Software Engineer) and Humza Khatri (Software Architect).

Pivot and Unpivot Your Data Instantly with Chat-Based Commands

The fastest way to prep your data is here. With Astera’s AI-driven Data Prep, you can simply chat your way to clean, structured data. No clicks or complicated steps. Just tell the data what you need. Watch how effortlessly you can reshape your data, whether it’s unpivoting for easy filtering or pivoting for reports and dashboards.

Integrating Tools & Systems with AI Agents via MCPs | Demo

Supercharge Your AI Agents: Real-Time Integration with Your Tools via MCPs! Why limit your AI agents to static responses? With Astera AI Agent Builder’s seamless tool integration through MCPs (Model Context Protocols), your agents can interact with external systems, execute real-time actions such as updating databases, fetching contextual data from CRMs, or triggering workflows in ERP systems.

Prepare Sales Data for Analysis & Reporting in Minutes Using a Simple Chat-Based Interface

�������� �������� �������� ������ ���� ������������ ���� ������������ �� ������������������������? �������� ������������ �������� ��������, ���� ����. Prepare your sales data for analysis in just minutes using the chat-based interface. Whether your data is messy or complex, simply type your instructions in plain, natural language and watch as Astera Data Prep, powered by AI, cleans, organizes, and gets it ready for analysis. No technical expertise is required. Just a few simple words and you are ready to gain valuable insights from your data.

Astera's Vision for Agentic AI: The Why Behind Astera AI Agent Builder

Curious to know what inspired the creation of the Astera AI Agent Builder – the fastest way to build, test and launch autonomous AI agents with your enterprise data? In the first episode of Round Table Series, join our AI Product Strategist Ayesha Amjad, AI Product Specialist Muhammad Hasham Qazi, and Software Architect Humza Khatri as they share the story behind the innovation. They’ll talk about the reasons that sparked the idea, the challenges they tackled, and how they’re shaping the future of AI-powered agents with Astera.

How I Built an AI Agent to Automate Customer Support - No Complex Coding Required

What if you could build your own customer service agent that handles real-world support queries automatically, saving time for both customers and our team? Maryam Ahmad from our PRD team did just that using Astera’s low-code and drag-and-drop interface. With Astera AI Agent Builder, Maryam created an intelligent agent designed to handle key customer service tasks for an e-commerce platform: checking order status, cancelling orders, and providing information on refund and return policies, all through a seamless conversational interface.

Memory in AI Agents: What You Need to Know

AI agents are learning to remember, and that changes everything. Memory is what allows AI agents to go beyond one-off answers. It helps them retain context, learn from past interactions, and make more thoughtful, personalized decisions over time. In today’s episode, our AI Product Strategist, Ayesha Amjad, breaks down the critical role of memory in agentic AI systems.

What Are LLM-Driven AI Agents? Explained Simply with Real Examples

If you're curious about what AI agents truly are and how they work in real-world scenarios, this video is for you. In this first episode, our AI Product Specialist Hasham Qazi takes you through what LLM-driven AI agents really are. He breaks down the key components, shows real-world examples, and explains exactly how they work in practice. Ready to build your own autonomous AI agents in just a few hours using a visual drag and drop builder that works with your enterprise data?

Is Data Integration the Real Engine Behind Effective AI Agents? #aiagents

Jay Mishra, our Chief Product and Technology Officer, explains why quality data is the true driving force behind successful AI agents. He also shares how Astera AI Agent Builder seamlessly connects to both internal and external data sources, ensuring that your AI agents are data-driven and ready to deliver powerful results.