Handing off recurring Splunk work to scheduled agents

Recurring operational tasks are where time quietly disappears. From routine checks to repeatable analyses, teams often rely on manual effort — or fragile scripts — to keep Splunk environments running smoothly. The result is wasted time, inconsistent execution, and limited auditability.

In this demo, we show how Deslicer AI lets teams hand recurring work to scheduled agents, turning one‑off prompts into reliable, unattended runs — with full transparency built in.

From one‑time prompts to reliable execution

With Deslicer AI, scheduled automation follows a simple but structured flow:

• Open an existing dashboard and create a new task
• Select the appropriate agent and describe the task in plain language
• Set cadence, time zone, and recipients
• Activate the schedule — ready to run

Once live, the agent runs unattended. Every step is captured automatically, creating a complete audit trail that can be reviewed or replayed at any time.

What happens when the agent completes

Each scheduled run produces a clear, human‑readable summary, delivered directly to every recipient:

• Status of the run
• Duration
• Tools used
• A plain‑language explanation of what was done

The full execution history remains available inside Deslicer AI for auditing, replay, and learning.

No babysitting. No guesswork. No missing context.

Why scheduled agents change how teams work

The challenge

Recurring Splunk tasks are often too important to forget — yet too manual to scale. Relying on people to remember, run, validate, and report creates risk and inconsistency.

The Deslicer approach

Deslicer AI treats recurring work as something to design once and trust thereafter. By combining scheduling, execution, and audit into a single workflow, teams can confidently hand off playbooks to agents.

The result

• Reliable execution, even while you sleep
• Built‑in auditability for every run
• Clear outcomes delivered automatically
• Less operational overhead, more focus on impact

Who this is for

This use case is particularly valuable for:

• Platform and operations teams managing recurring Splunk tasks
• Security and observability teams running scheduled checks
• Organizations seeking auditable, unattended automation
• Teams looking to reduce operational load without losing control