# SaaS OmniSupport agent (/docs/examples/omnisupport-agent)

> Build a voice AI agent for SaaS support with Cal.com, Slack, and Make.com integrations.

















<img alt="OmniSupport agent overview" src="__img0" />

Walk through configuring a complete inbound support voice agent for
OmniDimension itself. The agent introduces itself, answers product
questions from a scraped knowledge base, books demos via Cal.com, and
delivers post-call summaries to Slack and Make.com.

<Steps>
  <Step>
    ### Write the prompt [#write-the-prompt]

    Start by writing a clear initial prompt that defines the purpose of the
    bot.

    ```text
    You are OmniSupport, an inbound customer support voice assistant for
    OmniDimension. Speak in a friendly, polite, and professional tone.
    Your main goals are to:
    1. Greet the caller and introduce yourself as OmniSupport.
    2. Understand the caller's intent. Whether they want to learn about the
       product, explore features, or book a demo.
    3. Provide brief, clear responses about OmniDimension's offerings:
       AI-powered chat and voice agents, workflow automation, integrations.
    4. If they request a demo, collect their name, email, and preferred time,
       and confirm the booking.
    5. Handle unclear queries with a helpful fallback, asking the user to
       rephrase.
    Always end the call with a thank you and a warm closing message.
    Website URL: https://www.omnidim.io/
    ```
  </Step>

  <Step>
    ### Web scraping [#web-scraping]

    Automatically scrape the website and create a knowledge base from the URL
    provided in the prompt.

    * The bot will automatically extract information from the website
    * Create a structured knowledge base for the agent
    * Attach the knowledge base to the bot for real-time information retrieval

        <img alt="Web scraping data" src="__img1" />
  </Step>

  <Step>
    ### Cal.com integration [#calcom-integration]

    Integrate Cal.com for sales or demo call booking.

    * Navigate to the Integrations tab
    * Click **Connect** next to Cal.com
    * Complete the integration steps
    * Once connected, the calendar will be automatically attached to the agent

        <img alt="Cal.com Integration" src="__img2" />

    See the [Cal.com integration](/docs/integrations/cal-com) guide for the
    full walkthrough.
  </Step>

  <Step>
    ### Slack integration for post-call [#slack-integration-for-post-call]

    Integrate Slack for post-call delivery.

    * Navigate to the Integrations tab
    * Click **Connect** next to Slack
    * Complete the integration steps
    * Navigate to the **Post-Call** tab
    * Choose **Slack** as the delivery method
    * Choose the channel where you want to send the message
    * Configure the details to send (full conversation, summary, extracted variables, etc.)

        <img alt="Slack post-call delivery" src="__img3" />

    See [Slack integration](/docs/integrations/slack) and
    [post-call actions](/docs/dashboard-guides/post-call) for full details.
  </Step>

  <Step>
    ### Add a Make.com webhook [#add-a-makecom-webhook]

    Add a Make.com webhook link and configure the scenario to update an
    Airtable database.

    * Create a webhook in Make.com
    * Set the webhook URL in your post-call agent configuration
    * Test the webhook by sending a sample payload

        <img alt="Add Make.com webhook URL to post-call" src="__img4" />

        <img alt="Extracted variables" src="__img5" />

        <img alt="Make.com webhook" src="__img6" />

    See [Make, Zapier, n8n, GHL](/docs/integrations/zapier-make-n8n) and
    [post-call actions](/docs/dashboard-guides/post-call) for the full
    configuration reference.
  </Step>

  <Step>
    ### Final testing and monitoring [#final-testing-and-monitoring]

    * Re-test the agent via chat and web call to confirm all functionality
    * Validate the booking flow, fallback responses, and knowledge base retrieval
    * Navigate to the Call Logs section to monitor call interactions with evaluation details
  </Step>
</Steps>