CHATBOTS

Guided SaaS License Request & Grant Bot

A Teams chatbot that walks an employee through requesting a SaaS tool license, checks seat availability and budget rules, then provisions the seat via the vendor webhook.

CategoryChatbots
Enginesim
Difficultyintermediate
Triggerchat
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerEmployee requests a SaaS license in TeamsMicrosoft Teams
  • ActionRead license inventory and approval rulesAirtableAirtable
  • LogicBranch: auto-grant vs. require manager approval
  • ActionProvision seat via vendor webhookHTTP webhook
  • ActionDecrement available seats in inventoryAirtableAirtable
  • OutputSend login/onboarding instructions in TeamsMicrosoft Teams

What it does

Employees ask the bot for a tool license (Figma, Datadog, etc.). The bot runs a short guided dialog to capture the tool and business reason, checks the license inventory for free seats and policy (manager approval thresholds), and provisions the seat through the vendor's provisioning webhook when the request passes the rules.

When to use it

Use this when software-license requests are scattered and you want a single conversational front door that enforces seat limits and budget policy before any seat is handed out.

How it works

  1. 1An employee starts a license request with the bot in Teams.
  2. 2The bot collects the tool, role, and business justification through guided prompts.
  3. 3It checks the license inventory in Airtable for available seats and the approval threshold for that tool.
  4. 4Logic branch: auto-grant if a seat is free and under threshold; otherwise request manager sign-off in Teams.
  5. 5On a clear path, it calls the vendor provisioning webhook to assign the seat and decrements inventory.
  6. 6The bot replies with onboarding/login instructions and updates the seat count.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect Microsoft TeamsChannels, chats, files.
  2. 2
    Connect AirtableBases, tables, views, automations.
  3. 3
    Connect HTTP webhookTrigger any URL on agent actions.
  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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