Your team can build agents that read each request, look up what they need and get the job done. They run inside the apps IT already governs, on the AI model IT approved.
Join the organizations already building
Where automation stops today
Building an agent is easy. Getting it into production isn't.
Any team can set up an agent in an afternoon. But an agent that can only chat is a demo. To handle real requests, it needs your data, your systems and your rules. That's where agents get stuck.
AI Agents inside Betty Blocks
Your agents run on the same platform as your apps, data and permissions. They go live as part of your app portfolio, with an owner and a clear set of rules.
Governed from day one
Agents run under the roles and permissions IT already manages, so IT decides who uses them.
Use what you already built
The actions in your apps become tools your agent can call. Add web search or MCP.
See every step it takes
Test the agent before it goes live. See every step it took and the tokens used.
Choose your AI model
Your agents run on the model you choose
AI models change fast. Prices move, policies shift and new regulation can rule a model out. Your agents should never depend on one provider.
IT sets it up once
IT approves the AI providers and manages the API keys centrally. Builders pick from that list and switch models later without a rebuild.
Use agents where you work
Expose your agents through MCP and call them from the AI assistant your team already uses. Switch assistants tomorrow and your agents still work.
How it works
Build your first agent in three steps
You don't need to write code. If you can describe the job, you can build the agent.
Frequently Asked Questions
