Effo brings every control an institution needs to adopt AI safely, built into the layer where the work runs rather than bolted on around it.
Every run happens in its own sealed, disposable machine, gone when the run ends. No passwords or keys ever enter it, and the only way out is one inspected checkpoint.
Every agent is tested against real cases before it is switched on. You see each run it has made and judge the results yourself, so going live is a decision rather than a hope.
Sensitive actions pause and ask before they happen. What counts as sensitive is set per action, and personal data is stripped before it can reach a system not cleared to hold it.
Every run, tool call, change and model request is recorded: who authorised it, through which account, allowed or refused. Credentials never appear in a log.
Every run gets a fresh, hardware-isolated machine, destroyed when the run ends.
No passwords, keys or cloud credentials ever enter the machine.
All outbound traffic passes an inspecting checkpoint. Everything else is refused by default.
Every agent runs against real cases first, so its behaviour is known before anyone depends on it.
Inputs, outputs, every tool call and what it cost, for each run it has made.
It goes live when you judge that it performs. Nothing is enabled by default.
Never ask, ask once, or always ask. The setting belongs to the action, not the agent.
Sign-off lands with someone by name, from the web or Slack, and the run resumes after.
Personal data is stripped automatically before anything is written to a system that is not cleared to hold it.
Who authorised it, through which account, allowed or refused, and how long it took.
Each edit to an agent or workflow is a version, with the editor's name and the difference attached.
Audit entries outlive the things they describe. Deleting a resource never deletes its history.
Tell us about a process, a queue, or a report your teams are stuck with, and we'll build the demo around it.