Use cases
audit the outcome · verify activation · prove it every Friday
You build AI systems for clients; Riley makes them answerable. One gated door for AI actions, per-workspace keys, watches on the automations, and receipts that prove what the stack did. Usage proof receipts are coming soon and labeled that way.
Each setup opens with the outcomes, workflows, and tools that fit that work. Every setup gets the same loop and the same receipts.
The outcomes the setups above recommend most, with honest statuses. Live means it works today; coming soon means it does not exist yet.
Requests that arrive through any connected AI surface pass through the same gate: external writes wait in your approvals queue, whoever asked for them.
Connect Riley to Claude, Cursor, ChatGPT where supported, and other MCP clients with a per-workspace key. Same worker, same rules, wherever you ask.
Register your own MCP server or import an OpenAPI spec, and Riley uses those tools under the same approval and receipt rules as everything else.
Riley will watch the automations and scheduled jobs you rely on and raise a finding when one stops running or starts failing.
Riley will assemble AI activity across surfaces into a usage receipt: what was asked, what shipped, and who approved it. Built for teams that answer for their AI use.
Riley assembles everything it completed into a signed weekly receipt with a public verification link, so the people you answer to can check the work themselves.
Yes. Anything that speaks MCP can connect with a per-workspace key, and external writes from any surface queue for approval.
Yes. Register an MCP server or import an OpenAPI spec and those tools run inside the same approval and receipt loop.
Receipts show what Riley recorded and signed, with a public link anyone can verify. Before and after evidence appears where capture is available.
Pick a setup, connect your tools, and approve the first drafts. Every week of work ends in a signed receipt.