CHATBOTS

HR Bot Escalation to HR Specialist Ticket

When the HR policy bot can't confidently answer an employee's Teams question, it opens a ticket for a human HR specialist and posts the case number back to the employee…

CategoryChatbots
Enginesim
Difficultyintermediate
Triggerchat
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerLow-confidence or sensitive HR question in TeamsMicrosoft Teams
  • ActionClassify and summarize the request with OpenAIOpenAI
  • LogicRoute by category and urgency
  • ActionOpen an HR specialist ticket in HubSpotHubSpotHubSpot
  • OutputConfirm handoff and share ticket number in TeamsMicrosoft Teams

What it does

Sits behind your HR self-service bot as the safety net. When a question is too sensitive, ambiguous, or simply uncovered by policy, the bot stops guessing, files a structured ticket for the HR team, and tells the employee a specialist will follow up — with a tracking reference.

When to use it

Use this when self-service answers are great for routine questions but you need a clean handoff for the hard ones: harassment reports, accommodation requests, edge-case benefit questions. It prevents the bot from improvising on topics that demand a human.

How it works

  1. 1An employee asks a question in Teams that the bot flagged as low-confidence or sensitive, triggering this flow.
  2. 2OpenAI classifies the message into a category and urgency and drafts a concise summary for the HR team.
  3. 3A logic step routes urgent or sensitive categories straight to escalation while routine misses get a softer reply.
  4. 4The flow opens an HR support ticket in HubSpot with the summary, employee, and category.
  5. 5The bot replies in the Teams thread confirming a specialist will follow up and shares the ticket reference number.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect Microsoft TeamsChannels, chats, files.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect HubSpotCRM, deals, marketing, support.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

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