Three steps to ship Slack in your pilot
Install the Slack app
Standard Slack app installation with OAuth scopes for chat, mentions, and DMs. Pick channels the agent should monitor and the knowledge sources it should answer from.
Train on internal docs
Connect Confluence, Notion, Google Drive, or any combination as knowledge sources. The agent indexes them once and re-indexes on edit, so answers stay current without manual sync.
Escalate via @mention
When a question needs a human, the agent @mentions the right teammate or team alias (mapped from your routing rules) with a thread summary. The teammate replies in-thread; the bot stays out of the way until next time.
Common Slack use cases
Internal IT helpdesk in Slack: laptop refresh requests, VPN troubleshooting, software access — backed by your runbook.
HR onboarding and policy questions answered by the bot, with escalation to a People-team @mention for edge cases.
Ops on-call routing: bot routes incident tickets to the on-call rotation, posts status updates in channel, opens Jira issues automatically.
Slack — reply in thread with citation
Stylised example — not a runnable script. Endpoints, payload shapes, and authentication are documented in the integration runbook shipped during the pilot.
Common questions
Does the Slack bot answer in DM or in channel?
Both. Configure per workspace which channels the bot listens to and which questions it answers in DM. Threaded replies keep channels clean; long answers can post as a thread reply with a TL;DR in the parent message so the channel doesn't get noisy.
Can the agent open tickets in Jira or ServiceNow from Slack?
Yes. The agent recognises ticket-worthy requests, gathers the necessary fields from the conversation, and opens the ticket in your tracker with a link back to the Slack thread. Subsequent updates from the tracker (status changes, assignee changes) can post back into the same thread.
How does the bot escalate to a human?
Routing rules map detected intent or channel context to a teammate or team alias. When the bot escalates, it @mentions the target with a thread summary — the human picks up in-thread without context loss. The bot stays silent on that thread unless explicitly addressed again.
What knowledge sources can the bot answer from?
Confluence, Notion, Google Drive, Sharepoint, and direct file uploads (PDF, Markdown, HTML). Each source is indexed once and re-indexed on edit. The bot cites the source in its reply so users can verify. If retrieval confidence is low, it says so rather than fabricating an answer.
Pilot in 14 days. Live in 30.
A 30-minute scoping call. We bring the Slack integration patterns. You bring the system credentials and the first use case.