Agentic AI
Agent2Agent (A2A) Protocol and Its Importance in 2025
As businesses increasingly deploy AI agents across their workflows, one challenge becomes clear: agents often struggle to coordinate with one another. This limits their ability to execute multi-step, cross-functional tasks without human intervention. To address this, various protocols have been developed, and Agent2Agent (A2A) is one of these protocols.
Multi Agent Systems: Key Concepts & Applications in 2025
Multi-agent systems(MAS) enable distinct AI agents to work together to achieve complex objectives. Every AI agent in the system possesses its specific characteristics and responsibilities that contribute to a greater goal. MAS provides a distinctive approach to managing multi-step tasks and enhancing efficiency.
4 Agentic AI Design Patterns & Real-World Examples [2025]
Agentic AI design patterns enhance the autonomy of large language models (LLMs) like Llama, Claude, or GPT by leveraging tool-use, decision-making, and problem-solving. This brings a structured approach for creating and managing autonomous agents in several use cases.
Top 10 AI Agents in Healthcare: Use Cases & Examples ['25]
AI agents in healthcare are transforming the way care delivery, diagnostics, operations, and patient engagement work. Unlike traditional software, these intelligent systems leverage machine learning and natural language processing to perform tasks that previously required human judgment, speed, and intuition.
From Traditional SaaS-Pricing to AI Agent Seats [2025]
Companies are increasingly shifting to dynamic pricing models, allowing buyers to choose their costs based on specific needs and usage patterns.
Top 7 AI Agent Providers for Healthcare Automation in 2025
AI agents for healthcare integrate with electronic healthcare systems to automate workflows in clinical operations. After reviewing the documentation of several solutions, I listed the best AI agent examples for healthcare and explained their agentic AI capabilities.
Agentic Document Extraction: LandingAI vs. Mistral OCR & more
Agentic Document Extraction (ADE) is a specialized form of Optical Character Recognition (OCR) that extracts data from various file types. It combines document processing, data retrieval, structured output generation, and automation to streamline knowledge work. ADE stands out from traditional OCR by its ability to recognize complex document structures, such as tables, flowcharts, and images.
Top 20+ Agentic AI Companies in 2025
Though AI agents are being hyped and some companies rebrand their chatbots as agentic tools, there are still few agents in production. Previously, we benchmarked some of these capable AI agents over several real-world tasks: In this article, we identified key agentic AI companies that live up to the hype.
Compare 5 Best AI Agents in Customer Service in 2025
AI agents powered by large language models (LLMs) can respond to customer queries in natural language, interpret context, and generate human-like responses. These agents can process and synthesize large volumes of information from sources such as knowledge bases.
AI in SOAR: AI Analytics vs GenAI vs Agents in 2025
AI capabilities in security orchestration, automation, and response (SOAR) aim to automate security operations centers (SOCs), reducing human tasks and increasing efficiency. Several types or subsets (e.g. machine learning) of AI are employed in the SOC.