Latest

How a Healthcare Provider Cuts Nurse Intake Work by 80% with Agentic AI Discover how healthcare automates patient intake using agentic AI, cutting nurse intake time by up to 80% to improve efficiency and patient experience. Alex Clay Apr 22, 2026

How a Healthcare Provider Cuts Nurse Intake Work by 80% with Agentic AI Discover how healthcare automates patient intake using agentic AI, cutting nurse intake time by up to 80% to improve efficiency and patient experience. Manual Intake Overloads Nurses and Patients Three nurses spend four hours daily on patient intake at many healthcare providers. These clinicians spend a third of their shift reading, assessing insurance eligibility, and routing forms instead of delivering care. It exhausts staff and costs money. When eligibility checks lag or forms are misrouted, patient satisfaction falls and costs rise. Intake Bottlenecks Waste Thousands of Nursing Hours On average, nurses at large health systems spend 4 hours each day on intake forms. When handling thousands of patients, this wastes thousands of nursing hours weekly. Manual workflows cause insurance verification errors above 20%, triggering denials and delayed…

How One E-Commerce Giant Automates Returns and Refunds with Agentic AI E-commerce returns automation cuts costs and boosts refunds with multi-agent AI handling classification, verification, and response drafting efficiently. Alex Clay Apr 17, 2026

How One E-Commerce Giant Automates Returns and Refunds with Agentic AI E-commerce returns automation cuts costs and boosts refunds with multi-agent AI handling classification, verification, and response drafting efficiently. Returns Were a Cost Black Hole This major e-commerce company handles 50,000 orders daily. That means thousands of returns and refund requests overwhelm customer support. Historically this has been slow, inconsistent, and exhausting. They spent $2 million yearly on staff just to keep up, yet still faced errors, delays, and frustrated shoppers. Returns aren’t a side problem. Automated solutions struggle because returns involve order history, shifting policies, fraud risk, and customer nuances. Manual or rigid systems collapse under complexity. Return rates from 15% to 30% in some sectors increase costs, often $20 per return just to process. The pressure to cut costs while improving service is intense. A Crew of Specialist…

How a Global CPG Automates Supply Chain Demand Forecasting with Agentic AI Alex Clay Apr 14, 2026

How a Global CPG Automates Supply Chain Demand Forecasting with Agentic AI Discover how CPG supply chains use agentic AI to automate demand forecasting, boosting accuracy and speed while cutting manual effort. Excel-Built Forecasts Stall Supply Chains In a leading global beverage company, weekly demand forecasting felt like a spreadsheet battlefield. Demand planners stitched data from SAP, Databricks, and scattered Excel files. The manual cycle was slow, clunky, and error-prone. Forecast accuracy hovered around 70%. A 30% SKU-level error causes costly stockouts or bloated inventory. This problem spans the industry,CPG forecasting errors cost billions, erode margins, and hurt customer satisfaction. Why Manual Forecasting Fails Supply Chains This multinational brewer, with dozens of brands, struggled with Excel and siloed data. The fractured picture stifled supply chain agility. Forecasting was guesswork masked as science, with 25-35% errors annually. Global inventory distortion costs…

Agent Harnesses Are Dead. Long Live Agent Harnesses. João (Joe) Moura Apr 14, 2026

Agent Harnesses Are Dead. Long Live Agent Harnesses. I said it at a Dev Day 2025 (DeepLearning.AI conference) last year: Frameworks are cheap. A few people in the audience looked uncomfortable. But I think the statement aged well. Now it's not just frameworks. Harnesses are getting the same treatment, and the cycle is only getting faster. Building anything is getting cheaper by the month. Vibe-code an app over the weekend. Spin up an agent with a few API calls. The distance between idea and working prototype has collapsed to almost nothing, and will collapse to nothing faster than most expect. And yet the industry is spending most of its energy debating what to call the building tools. We built our harness back in 2023 when we launched, what people now all agree to be the right abstraction, of multi agentic…

How Enterprise AI SaaS Closes Adoption Gaps with Multi-Agent Crews João (Joe) Moura Apr 6, 2026

How Enterprise AI SaaS Closes Adoption Gaps with Multi-Agent Crews Enterprise AI SaaS automates customer enablement with a 5-agent workflow to close adoption gaps, reduce churn, and scale training across industries Most enterprise AI customers barely use what they paid for Here's a pattern I keep seeing: company buys an AI platform, gets through a painful onboarding, builds one or two use cases, then stalls. The FDE team is stretched across too many accounts to go deep on any of them. Adoption takes six months when it should take weeks. By the time the customer sees real value, if they ever do, renewal is already at risk. The instinct is to throw more training at it. More docs, more workshops, more enablement calls. It doesn't work. You can't train your way out of a product that's hard to adopt. Manual…

You're building agent security in the wrong order João (Joe) Moura Apr 2, 2026

You're building agent security in the wrong order The agent security market woke up. In two weeks, I've seen companies shipping runtime identity enforcement for autonomous agents, a full platform for discovering shadow agents, revoking permissions in real time, and much more. Serious teams behind them. I respect the work. But they're all solving step three. The sequence problem I've spent the last two years watching enterprise teams deploy agents and we've processed billions of executions at CrewAI, it seems most of the pattern is similar for sequencing problems. A team gets the mandate: "deploy AI agents." The CISO immediately asks about security. The board wants compliance answers. So the team starts there: IAM policies, authorization scopes, runtime monitoring. They build a security stack around their agents.Then they actually try to run the agents. And the agents can't reliably find…

CrewAI Selected for the Enterprise Tech 30 João (Joe) Moura Mar 31, 2026

CrewAI Selected for the Enterprise Tech 30 Year One: Vision. Year Two: Proof. For the second year in a row, CrewAI has been selected for Enterprise Tech 30! Exciting! If you're not familiar with the ET30, here's what makes it different from every other "top companies" list: it's not editorial picks, it's not pay-to-play, it's a structured vote by 98 investors across 85 firms managing a combined $2.6 trillion in assets, between small and extremely large organizations, these are the investors who fund the companies building the next decade of enterprise technology and they vote based on what they're seeing in the market. This year, CrewAI was listed under Agent Development within the AI Infrastructure & Development category, that category now represents 43% of the entire ET30, in 2019, it was 0%. Let that land for a second, zero to…

Orchestrating Self-Evolving Agents with CrewAI and NVIDIA NemoClaw João (Joe) Moura Mar 17, 2026

Orchestrating Self-Evolving Agents with CrewAI and NVIDIA NemoClaw The technology landscape in early 2026 is undergoing a shift similar to the rise of the modern web stack. AI is moving beyond simple prompt-based interactions toward autonomous, continuously evolving agents. These long-running agents, which many experienced recently on a more personal level through “claws”, can break down goals, execute code, and operate independently for extended periods. While this unlocks major productivity gains, it also creates new trust and security challenges for enterprises. Running autonomous agents safely requires strong orchestration, secure runtimes, and high governance levels. The combination of CrewAI for agent orchestration and NVIDIA NemoClaw for secure execution provides the capability, autonomy, and safety needed to run these systems in production. A key moment in this shift came with the OpenClaw project in early 2026, which demonstrated that self-evolving agents could…

Community

CrewAI OSS 1.0 - We are going GA 1.4 Billion Agentic Automations, 60 % of the Fortune 500, 40k GitHub stars. Creating a center of gravity for the Agentic AI ecosystem First things first, thank you to everyone who attended our very first launch week webinar! It was absolutely incredible to see 2,600+ people register for a webinar in a matter of days, and even more so to see everyone immediately introducing themselves, connecting with other community members and asking

CrewAI OSS 1.0 - We are going GA

1.4 Billion Agentic Automations, 60 % of the Fortune 500, 40k GitHub stars. CrewAI OSS is going GA During our first year at CrewAI, we set ourselves a goal. Build the framework capable of orchestrating a billion autonomous agents — securely, reliably, at scale. Little over a year later, we’ve done more than that: Today we’re announcing CrewAI OSS v1.0, the same open-source core now powering 1.4 billion Agentic Automations across the world’s largest enterprises, on all degrees of complexity. Two years ago we bet that large-language models shouldn’t be micromanaged—they should be delegated real work. Last week, Andrew Ng called us visionaries for betting early on one idea: As models get better, engineers will remove the scaffolding [all rules and forced structure] and delegate more, not less. Andrew Ng invested in CrewAI over a year ago — joined by…

Creating a center of gravity for the Agentic AI ecosystem

Creating a center of gravity for the Agentic AI ecosystem First things first, thank you to everyone who attended our very first launch week webinar! It was absolutely incredible to see 2,600+ people register for a webinar in a matter of days, and even more so to see everyone immediately introducing themselves, connecting with other community members and asking our speakers both technical and non-technical questions. It was a testament to the excitement and enthusiasm we all share. It would be the understatement of the century to say there is a lot going on when it comes to agents. There are a lot of frameworks, tools and platforms for everything from orchestration and memory to monitoring and evaluation – and everything in between for that matter. At CrewAI, we want to help by creating a center of gravity for everyone…

CrewAI Factory

Unlocking agent-native transformation with CrewAI Factory and NVIDIA Day 1 of CrewAI Launch Week 01 (May 2025) CrewAI Enterprise makes it easy for organizations to build, run and monitor Agentic AI workflows in the cloud – and to automate business processes on day one. However, in practice, large enterprises often need to run AI applications on their own infrastructure

Unlocking agent-native transformation with CrewAI Factory and NVIDIA

Unlocking agent-native transformation with CrewAI Factory and NVIDIA Day 1 of CrewAI Launch Week 01 (May 2025) CrewAI Enterprise makes it easy for organizations to build, run and monitor Agentic AI workflows in the cloud – and to automate business processes on day one. However, in practice, large enterprises often need to run AI applications on their own infrastructure due to security and data privacy requirements. That’s why we’re excited to announce CrewAI Enterprise is now available for deployment on customer infrastructure via CrewAI Factory – whether in a data center or a virtual private cloud. CrewAI Factory provides the same benefits and capabilities of CrewAI Enterprise, but in a customer-managed form factor that provides: - Management and monitoring - Real-time testing and tracing - No-code development - Enterprise tools and connectors - Encrypted communication and storage - Secure operations…

NVIDIA

Unlocking agent-native transformation with CrewAI Factory and NVIDIA Day 1 of CrewAI Launch Week 01 (May 2025) CrewAI Enterprise makes it easy for organizations to build, run and monitor Agentic AI workflows in the cloud – and to automate business processes on day one. However, in practice, large enterprises often need to run AI applications on their own infrastructure

Tutorials

Build your First CrewAI Agents A step-by-step guide to creating collaborative AI agent crews with the CrewAI framework Configuring Azure OpenAI with CrewAI: A Comprehensive Guide A step-by-step guide to set up and configure Azure OpenAI within CrewAI framework for your AI Agents. Build a Multi-AI Agent Workflow with Cerebras and CrewAI Build multi-ai agent workflows with CrewAI and Cerebras' fast inference speed

Build your First CrewAI Agents A step-by-step guide to creating collaborative AI agent crews with the CrewAI framework João (Joe) Moura May 8, 2025

Build your First CrewAI Agents A step-by-step guide to creating collaborative AI agent crews with the CrewAI framework If you've been exploring the AI agent ecosystem, you're likely aware of the potential behind coordinated multi-AI agent systems. CrewAI is an open-source framework designed specifically to simplify the development of these collaborative agent networks, enabling complex task delegation and execution without the typical implementation headaches. This guide walks you through creating your first agent crew from scratch, following our latest video tutorial below. You'll learn how to: - Set up your development environment with CrewAI and its dependencies - Scaffold a new project using our CLI tools - Configure your agents and tasks through YAML-based definitions - Implement specialized tools for web searches and other capabilities - Execute your crew and observe multi-agent collaboration in action Prerequisites Before diving in, ensure…

Configuring Azure OpenAI with CrewAI: A Comprehensive Guide João (Joe) Moura Nov 13, 2024

Configuring Azure OpenAI with CrewAI: A Comprehensive Guide A step-by-step guide to set up and configure Azure OpenAI within CrewAI framework for your AI Agents. Not going to bore you with an intro, so here's the guide. 1. Set Up Azure OpenAI - Create an Azure OpenAI Resource: - Sign in to the Azure portal. - Navigate to "Create a resource" > "AI + Machine Learning" > "Azure OpenAI". - Fill in the required details and create the resource. - Retrieve API Keys and Endpoint: - After creating the resource, go to its "Keys and Endpoint" section. - Copy the Endpoint URL and one of the API keys (Key1 or Key2) for later use. 2. Configure Environment Variables Set the following environment variables in your .env file in the root directory to allow CrewAI to authenticate with Azure OpenAI: AZURE_API_KEY=your-api-key…

Build a Multi-AI Agent Workflow with Cerebras and CrewAI João (Joe) Moura, Sarah Chieng Oct 22, 2024

Build a Multi-AI Agent Workflow with Cerebras and CrewAI Build multi-ai agent workflows with CrewAI and Cerebras' fast inference speed In this tutorial, we'll create a simple multi-ai agent workflow where an agent researches emerging technologies in a given field or topic using CrewAI and Cerebras. About Cerebras Cerebras inference is the fastest in the world, and we’re powering the next generation of AI applications. With the Cerebras Inference API, you can run Llama3.1 8B and Llama3.1 70B 10x faster than on GPUs. Our inference runs on the Wafer Scale Engine 3 (WSE3), Cerebras’s custom hardware designed for AI. Come join us in building next-level, innovative applications with an inference speed never seen before. Get started with Cerebras here: cloud.cerebras.ai Additional links: About CrewAI CrewAI is an open-source framework for building and orchestrating multi-agent AI workflows. It allows developers to…