Most software was built for humans clicking buttons, with an API stapled on the side. SOIS is built so the agent comes first. The screens are there when you want them, never because the work demands it.
Either way, you describe the outcome and SOIS delivers it.
The strategic path. Your workspace is a full MCP server: every tool a person can use, an agent can use. Connect Claude, Cursor, VS Code, or any MCP client and your own AI reasons over your operation. SOIS spends no AI on your behalf.
MCP server docsFor callers with no agent of their own: scripts, legacy systems, webhooks. Send one plain-English message to a single endpoint. The SOIS agent understands, acts across the workspace, and replies by webhook or polling. Conversations carry context across turns.
Gateway docsNo schemas to learn. No field mapping. No middleware. No connectors. Just intent, negotiated by an agent that has the run of your workspace.
A lightweight router reads what you want and selects the right toolkit. Fast and cheap.
For anything involved, the work is decomposed into focused tasks with the tools each one needs.
The agent runs the tasks across your operation, in parallel where it helps, within a set budget.
Results are gathered and summarised back to you in plain language. The work is already done.
An agent with the run of your workspace has to be governed. SOIS does that at every layer.
An agent can only use the tools the person it acts for is allowed to use. Permissions are enforced when tools are offered and again when they run.
Set a spend limit per integration. Work runs within it, and you can see exactly where every credit went, broken down by action.
Standard MCP means any frontier client connects. You are never locked to one vendor's chat box, and you can change your mind later.
Launch a workspace, point your agent at it, and tell it what you need.
