Most organizations store enormous volumes of operational data in Splunk, but only a handful of specialists know how to query it. Everyone else waits. Questions pile up, dashboards go stale, and frontline teams cannot self-serve the answers they need to make fast decisions.
Splunk Assistant is a chat-based agent that translates a natural language question into a Splunk query, runs it, and replies with a clear answer. It builds and verifies dashboards, diagnoses slow searches, and operates entirely through Slack or Telegram no Splunk login or SPL knowledge required. It is read-only by default and always asks before making any change.
A single conversational agent that handles the full range of day-to-day Splunk tasks without requiring specialist access.
Type a question — 'what's breaking in production?' or 'show me today's error rate by service' — and Splunk Assistant writes the SPL, runs it, and returns a clear answer.
Request a dashboard by describing what you need. The agent builds it, checks its own work in a browser, and sends a screenshot for your approval before saving anything.
Identify slow or failing searches and understand exactly what is causing the problem without needing to open the Splunk console yourself.
Ask what data sources are available, which indexes exist, and what you can realistically report on so your questions stay grounded in what is actually there.
Operates through everyday chat tools. No Splunk login is needed, putting operational data within reach of the whole team, not just the four people who know SPL.
Stays read-only by default. Any action that would change data or configuration requires your explicit confirmation before it proceeds.
Splunk Assistant removes the query-skills bottleneck that slows most organizations down.
Anyone who can send a chat message can get answers from Splunk. The agent handles query construction automatically.
Deploys through Slack or Telegram. No new tool to learn, no separate console to log into.
Read-only access with explicit confirmation before any change. Designed to be a daily tool, not a risk.
Built as a reusable template that can be stood up for multiple customers and use cases from a single design, cutting deployment time significantly.
Stop making your team wait on the two people who know SPL. Splunk Assistant puts operational answers in reach of everyone.
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Splunk Assistant is a chat-based AI agent built by bitsIO on the Claude Agent Platform. It translates plain-English questions into Splunk queries, runs them, and returns answers without requiring the user to know SPL or log into the Splunk console.

It is designed for anyone on a team who needs answers from Splunk but does not have the query skills to get them directly. This includes operations staff, managers, analysts, and frontline teams who currently wait on Splunk specialists.

No. Splunk Assistant works through Slack or Telegram. End users interact with it through a chat message and never need to access the Splunk console directly.

Yes. It is read-only by default. Any action that would change a dashboard, configuration, or data source requires your explicit confirmation before it proceeds. It is designed to be safe enough for broad team use.

Yes. You can describe the dashboard you need in plain language, and the agent builds it, checks its own work visually in a browser, and sends a screenshot for your sign-off before saving to production.

Yes. Splunk Assistant ships as a reusable template. bitsIO can deploy and customize a copy for each customer or site, specializing the data sources, terminology, and guardrails for each engagement without rebuilding from scratch.

Splunk Assistant is connected to your live Splunk environment. It runs the queries it writes, interprets the actual results, and operates within your data structure and context. It is not a generic LLM that generates SPL text without knowing your data.