Check the work, not just the answer
See how a result was reached: the steps, the sources and the files behind it.
Every run shows its steps, sources, files, retries and changes, in a record your team can read.
See how a result was reached: the steps, the sources and the files behind it.
When something fails, the trace shows where it stopped, what was retried and what blocked it.
Every action and approval is kept in one readable record, ready to review or export.
Each run is laid out in order: how the request was classified, which scope was checked, what evidence was gathered and where it waited for approval.
Sources, files and artifacts stay attached to the step that used them, so a reviewer can open exactly what the agent saw before it acted.
Actions, tool calls, knowledge checks and approvals are written to an audit log. Earlier outputs stay in history, so you can compare versions and see what changed.
User approved packet
Agent called CRM tool
Knowledge source checked
From the inbox, a thread or a scheduled task.
It sets out the steps it will take and the tools it needs.
With its sources, files, retries and results.
Sensitive steps pause, and every decision joins the record.
The finished run keeps its complete trace for later review.
Identity, access, approvals, supervision, audit and policy apply to every agent and every run, whichever part of the workspace it happens in.
See governance and auditShort answers to what teams ask before they put this part of SoftworkerAI to work.
Contact us directlyA run trace is the step by step record of one agent run. It shows what the agent was asked to do, the plan it made, the sources and tools it used, where it paused for approval and what it changed.
Run records stay in the audit log of your workspace, next to the work they describe. During early access we agree retention with each team as part of setup, so it matches your own record keeping rules.
Yes. Every run is logged with evidence you can review and export, so security, compliance and audit teams can work with the record outside the workspace.
Access follows the roles and permissions in your workspace. People see the traces for work they are allowed to see, and admins can review activity across the workspace.
Yes. Failed and blocked runs keep their trace, including where they stopped, what was retried and what error or blocker they hit, so the problem is quick to find.
The multiplayer workspace for humans and AI agents is how teams move beyond prompting and safely hand AI real work. It gives people one place to plan, approve, and oversee execution, so they can run work with AI agents they can govern and trust.