AI Workforce

Once you publish your AI receptionist phone number to your listings, you start getting hundreds of the same spam calls a week. They leave an automated message, then a conversation is created. If the follow up text goes out, then the spam responds and they go back and forth endlessly. This is wasting a ton of minutes and texts. We need to be able to block these and then have the conversations automatically deleted so our conversation modules aren't jammed up.

I recently saw that there's a Shopify capability built into the Conversations AI, and I would love to see a similar capability for Wordpress WooCommerce shops to pull live product data (stock, price, etc.) and manage cart, etc.

As a Sales and Customer Success Manager, I want to analyze webchat transcripts from web conversations so that I can identify common customer questions and recurring sales and support issues. I want to leverage insights like (keywords, trends, and summaries),so that I can share them with customers, other teams, or include them in reporting dashboards.

I would love the chance for the ai to be told hey here's info you can offer or listen for to match as info to send when a person request info or you can offer it know to take with the data you collected either email or text to send it to the client you are talking with in real time. then record you sent it so its not sent again or to be able to tell ai about email campaigns within the system and have a AI option to describe the campaign so it can then choose the best pre set emails to send out to a possible person they are talking with

We have the AI Assistant at the Partner Level, but our clients need to. This would be a tremendous enhancement of the Business App and I believe the client would get more value out of the app and use more. The content needs to be white label in nature. I can provide more requirements if needed.

We would like the ability, at the Partner Center level, to have the AI Voice Receptionist automatically send a notification (email, SMS, or in-platform alert) to one or more designated partner team members whenever a call is received and handled by the AI receptionist. The purpose is to ensure our agency team can quickly review and respond to these calls as needed. Key points: Notifications should be managed and configured at the partner level (not per client). The notification should include relevant details (e.g., client name, caller info, summary/transcript, time of call). We do not want the call forwarded; the AI receptionist should handle the call as normal and only notify us after handling. This will help our team provide timely follow-up and ensure no important calls are missed across our managed accounts. Thank you for considering this enhancement!

So we're looking at the AI chatbot integration with social channels. In Instagram specifically when an account (personal or business) is tagged in someone's story - i.e. "happy anniversary @business" - it shows up in that account's direct messages. Because of this, it triggers the opening message of the chat receptionist. I'm wondering if it's possible to set up dynamic content for these opening messages so if there's an automation or something that based on the content of the first message from the user, the opening message changes. i.e. if someone asks a question to our dm's the chatbot responds per-normal. However if the initial message is a tag, then we can set up a custom message.

Will you be integrating Tik Tok to our ai agents? I want to know if our followers on tit tok will be able to chat with the ai agent like they do via instagram and facebook messenger

It would be helpful if a customer could refer another customer with their own referral link instead of just Partners referring to Vendasta. I get a lot of clients through referrals and like to reward them with 1x or Recurring commissions. Since Vendasta went to their own internal referral system, would it be easy to add this so my customers can give out a referral link and have it tracked on their client account with bonuses they could spend on services?

Vendasta should adopt or integrate with the Model Context Protocol (MCP) to enable smarter, AI-native automations. MCP allows tools and agents to share persistent, structured context across workflows, making Vendasta more extensible and interoperable with external systems. This would empower deeper personalization, memory across tasks, and multi-agent collaboration—ideal for modern local business automation. Vendasta could build a native MCP layer or offer integration points for existing MCP ecosystems, enhancing its developer ecosystem and automation flexibility. This future-proofs the platform, boosts partner value, and positions Vendasta as a leader in intelligent, context-aware business solutions.