
Lets non-engineers describe workflows and have AI agents build governed internal tools.
Prized runs a platform through which employees assemble internal business tools from plain-language descriptions, with each resulting application wired into the organization's own production data instead of placeholder inputs. A builder can work inside Prized's hosted builder or attach an external coding agent, and completed tools are published behind the company's existing single sign-on.
Every generated tool is provisioned with its own database role and connector scopes, restricting it to precisely the records and integrations an administrator has granted. The platform also maintains an audit trail over data access and presents each tool to IT alongside what it reads, what it writes, and who is permitted to run it.
Non-engineering teams increasingly build their own internal software by pulling company data into general-purpose AI coding agents, producing working tools in an afternoon but with no permissions model, audit trail, or oversight.
Prized bets that this behavior will not reverse, and that enterprises will standardize on governed environments where anyone can build on production data while IT keeps visibility into what each tool reads, what it writes, and who is permitted to run it.
Prized builds security into the infrastructure rather than leaving it to whoever assembles a tool: each tool receives its own database role and connector scopes, credentials stay inside a broker out of the agent's reach, and outbound calls route through a controlled proxy.
Operations, support, and finance staff can describe a workflow in plain English and have AI agents assemble a working tool over approved production data, then ship it behind the company's single sign-on with a full audit log that shows who built each tool and who can run it.