A remediation is approved. How does it reach only the intended machines?
Resolve the target, attach the approved playbook, and put the work into a visible queue before an enrolled agent receives it.
Capability
Agents, playbooks and queue
Turn defined operational work into scoped execution with managed playbooks, a visible queue, enrolled agent identity, signed agent payloads, live status, and retained run history.
Enrolled agents
Signed playbooks
Scoped queue
Schedules and routines
Operational need
Operational fixes and recurring tasks need one controlled path from approval to target, execution, result, and reusable history.
Known work can be approved, scoped, dispatched, observed, repeated, and reviewed without turning every action into an untracked bespoke operation.
Operating signals
- The fix is known, but running it still depends on a remote session, an undocumented script, or one operator remembering the steps.
- Recurring work has a schedule, but approval, target scope, current state, output, and proof live in separate places.
- A remediation recommendation is useful only when the actual execution boundary, result, and failure context remain reviewable.
What you get
Where it starts
Common starting points.
These examples enter the product surface that owns their state. They do not all become a case, ticket, owner, or shared evidence record automatically.
Can we run the same checked action across a defined agent group?
Use explicit assignment and per-agent variables so repeatable work stays tied to the machines and parameters it was prepared for.
Which work is pending, running, completed, or failed right now?
Inspect the execution queue by agent and state, then open the full record instead of polling terminal sessions.
What ran, what did it return, and why did it fail?
Keep the result summary, returned output, timestamps, metadata, and failure context attached to the queue item.
Should this playbook run on a schedule or become a routine?
Move repeat work onto a visible cadence with an immediate-run option and retained run history instead of hiding it in cron.
Can the same work be reviewed or run again later?
Retain the action path and result so an operator can review, cancel, requeue, or repeat work from the product record.
How it works
How work moves.
The product path below names its inputs, decisions, controls, and output without implying the same lifecycle applies to every capability.
- 01
Choose defined work
Start from a reviewed action, managed playbook, named routine, or visible schedule with defined target and inputs.
- 02
Resolve the target
Choose the agent, role, endpoint group, service, appliance, or customer environment and confirm the variables that apply.
- 03
Queue and dispatch
Create a visible work item and send the signed payload through the controlled queue to the enrolled agent when agent execution is used.
- 04
Observe the run
Track pending, running, completed, or failed state together with returned output and failure context.
- 05
Retain and repeat
Keep target, timestamps, result summary, and output with the originating record; requeue eligible terminal work or make recurring work an explicit schedule or routine.
Product model
Controlled execution model.
The diagrams show how defined work becomes a scoped queue item, crosses a signed agent boundary when agent execution is used, repeats through visible schedules or routines, and returns state and output to retained records.
Execution path
Defined work to retained result.
A manual action, managed playbook, schedule, or routine resolves its target and inputs before dispatch. Agent-backed work returns state and output to its queue and agent records.
Agent trust boundary
Identity and signature travel with the work.
Each enrolled agent has its own identity. The execution payload is signed, the target remains explicit, and the agent reports status and output back through the controlled path.
Repeatable work
Manual, scheduled, and routine work keep explicit records.
Playbooks provide repeatable actions, schedules provide visible cadence and run-now control, and routines retain their own reports and run history.
Execution proof
The record explains what actually ran.
Queue, agent, schedule, and routine records keep their target, timestamps, state, result summary, output, and failure context available for later review.
What it includes
What the record shows.
These parts participate in the workflow. The record shows what was used and why it mattered.
Agent execution
Individually enrolled machines receive signed work and report connection, execution state, result, and output back to the platform.
Agent inventory, identity, heartbeat, and per-agent history
Queues
Operators can filter work by agent and state, inspect full details, cancel pending or running work, and requeue a finished item.
Execution queue and queue-item detail
Playbooks
Managed playbooks can be synchronized from a configured source, reviewed, assigned by scope, parameterized per agent, signed, and dispatched instead of rebuilt manually.
Playbook inventory, configured source, assignment, variables, approval, and signing
Routines
Repeated work can become a named shared or personal routine with manual runs, templates, and retained run reports.
Routine catalog, runner, templates, and run history
Schedules
Playbook work can run on a visible recurring cadence or be triggered immediately from the same schedule record.
Schedule list, recurrence policy, and run-now action
Evidence
Target, state, result summary, returned output, timestamps, metadata, and the originating queue, schedule, agent, or routine record remain available after the run.
Queue history, agent history, and routine run reports
Control model
Controls stay specific to the workflow.
Integrations, AI assistance, routines, and agents use different permissions and records. The controls below describe this capability rather than a universal approval model.
Action starts from a managed work definition or an explicitly approved proposal—not an implicit AI response.
Agent identity, target scope, assignment, and per-agent variables are explicit before dispatch.
Signed payload verification is part of the endpoint execution boundary.
Pending, running, completed, and failed state stays visible with result summary and returned output.
Operators can inspect work, cancel eligible pending or running items, requeue eligible completed or failed items, and review retained routine runs.
Value over time
Product path for Execute.
Define
Select managed work and targets
Playbook, source, variables, assignment, and signing inputs stay explicit.Dispatch
Use queue, schedule, or routine state
The configured execution path creates visible work for assigned agents.Review
Inspect returned results
State, timestamps, logs, result summary, and agent metadata remain reviewable.Next step
Want to see execute on your stack?
Book a walkthrough and I will map this workflow to the integrations and controls you already use.