Lyzr AI

An enterprise standardises model access through a gateway. Then its agents start calling external tools, querying internal systems and talking to MCP servers. A gateway that handles model requests well doesn’t automatically control every tool invocation or agent workflow.

That changes the buying decision. Teams now weigh provider coverage and routing alongside tool ...

Ask three teams how their agents reached production and you’ll get three answers. A Lambda function. A notebook endpoint. A container on a VM that only one engineer knows how to restart. Each one works. None of them can be rolled back by anybody else.

That’s what the best platforms for centralized AI agent deployment fix. They give every team one way to package an ...

Your provider invoice tells you how much you spent. It cannot tell you which team, feature, customer or agent spent it. A cost attribution dashboard closes that gap by capturing usage at the gateway, tagging every request with an owner and pricing each call as it happens. This guide gives six build steps, the tags and panels to include, and a way to handle spend that has no c...

Enterprise AI agents need more than a valid login. They need an identity that can be verified, permissions that reflect what they are allowed to do, and controls that remain in place wherever they run.

That becomes harder when agents span teams, projects, models, knowledge bases, memory services, and cloud environments. A token can be valid but still belong to the w...