CHATBOTS
IT Helpdesk Slack Bot: Triage Access Requests Into Linear Tickets
Detects software and access requests posted in Slack, extracts who needs what, and opens a structured Linear ticket on the IT team with priority set.
How it runs
The automated pipeline, trigger to output.
- TriggerNew message in IT help Slack channelSlack
- ActionClassify and extract access request fieldsOpenAI
- LogicFilter to access/software requests only
- LogicSet priority by system sensitivity
- ActionCreate structured ticket on IT team in LinearLinear
- OutputReply in thread with ticket link and ETASlack
What it does
Catches access and provisioning requests in your IT Slack channel, parses them into structured fields (requester, system, access level, business justification), and files a clean Linear ticket so nothing gets lost in chat scrollback.
When to use it
When access requests arrive as freeform Slack messages and your team manually copies them into a tracker. This standardizes intake, captures the justification needed for audits, and gives every request a trackable ticket ID.
How it works
- 1A new Slack message in the IT help channel triggers the flow.
- 2OpenAI classifies whether the message is an access or software request and, if so, extracts requester, target system, access level, and justification.
- 3A filter drops messages that aren't access requests.
- 4A branch sets priority: requests touching production or admin systems are marked high.
- 5A Linear ticket is created on the IT team with the structured fields and priority.
- 6The bot replies in the Slack thread with the ticket link and expected turnaround.
Set it up
What you configure once, before turning it on.
- 1Connect SlackChannels, DMs, threads, mentions.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect LinearIssues, projects, cycles, triage.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run this workflow in your colony.
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