Editorial illustration for AgentKit Helps 1M Businesses Build AI Agents in Days, Accelerating Enterprise Innovation
AgentKit Empowers 1M Businesses to Build AI Agents Fast
1M business customers use AgentKit to build AI agents in days
A million businesses now use a tool called AgentKit to build AI agents in a few days. That number feels too big to be true, but it’s the claim. The reality is probably a mix of genuine adoption and hopeful sign-ups, all chasing the same thing: a shortcut.
Building an AI agent that actually works has been slow, expensive, and messy. Companies get stuck in development for months. AgentKit says it can cut that to days. The promise isn't about creating genius, but about automating a specific, tedious chunk of work faster than before.
The pitch hinges on a few case studies. Private equity firm Carlyle used it for a multi-agent system to evaluate investments. They claim it halved their build time and made the agents 30% more accurate. That's the kind of result that gets budget approved.
- We also made enterprise agents practical to build and deploy with AgentKit, making it possible for teams to go from idea to production in days instead of months. Companies like Carlyle are already seeing results: the AgentKit evaluation platform cut development time on Carlyle's multi-agent due diligence framework by over 50% and improved agent accuracy by 30%. - We also advanced our multimodal models to enable richer workflows--from the Image Generation API and Sora 2 for visual and video creation to gpt-realtime and Realtime API to build production voice agents.
Teams across every industry can now work across text, images, video, and audio in one system. (opens in a new window)According to a recent Wharton study(opens in a new window), 75% of enterprises report a positive ROI, and fewer than 5% report a negative return. While there are many studies on this topic, this one reflects what we see on the ground today with our customers: when AI is deployed with the right use case and infrastructure, teams see real results.
- Indeed is using OpenAI APIs in its Invite to Apply feature to drive a 20% increase in applications and a 13% lift in hires. - Lowe's empowers all associates in 1,700+ stores with expert project guidance through Mylow Companion, an in-store app built with OpenAI models. - With OpenAI as the backbone of Fin, their customer service agent, Intercom has accelerated development cycles from quarters to days.
- And starting today, Databricks(opens in a new window) is bringing OpenAI frontier intelligence to where enterprises' data already lives--making it easier to build and run high-quality agents. Beyond internal adoption, we're seeing a second trend: businesses increasingly want to build with OpenAI too. Companies are creating new applications and agentic workflows directly on our platform.
Beyond speed, the platform is adding more ways for these agents to work. They can now handle images, video, and audio, not just text. This means an agent could theoretically review a video submission or generate a voice response, moving beyond the chat window.
Is it a revolution? Not exactly. It’s an attempt to productize and accelerate a process that has been a slog.
The one million user figure suggests a market desperate for that acceleration, ready to believe the days-not-months line. The real test is what those million are actually doing with it six months from now, and whether the results look more like Carlyle’s or end up forgotten in a Slack channel.
Further Reading
- Best No-Code AI Agent Platforms in 2026 - Lazarus - Lazarus
- Top 9 AI Agent Frameworks as of January 2026 - Shakudo
- 2026 Predictions for Agentic AI - SoftClouds
- 2026 AI Roadmap: From Strong Prompts to Smart Agents - Python Plain English
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Common Questions Answered
How quickly can businesses build AI agents using AgentKit?
AgentKit enables companies to build sophisticated AI agents in just days, dramatically reducing the traditional development timeline. The platform has already helped over 1 million businesses accelerate their AI agent development process from months to mere days.
What specific improvements did Carlyle experience with AgentKit's multi-agent framework?
Carlyle's multi-agent due diligence framework saw significant performance enhancements using AgentKit, including a 50% reduction in development time and a 30% improvement in agent accuracy. These results demonstrate the platform's ability to streamline enterprise AI agent creation and performance.
What makes AgentKit different from traditional AI agent development platforms?
AgentKit simplifies the complex AI development process by offering a user-friendly platform that allows enterprise teams to rapidly transform ideas into production-ready AI agents. The platform's advanced multimodal models and streamlined workflow enable businesses to build sophisticated AI systems with unprecedented speed and efficiency.
