AI Agents for Sales

Same team, less busywork. More pipeline.

tl;dv’s AI Sales agents for meetings help you turn sales conversations into extra pipeline with no effort, by using agentic workflows to automate recordings, getting rid of meeting busywork and generate invaluable insights.

What are AI Agents?

An “agent” can vary in definition. Some see agents as fully autonomous systems handling complex tasks over time, while others view them as prescriptive systems following set workflows. For us, both fall under “agentic systems,” but with a key distinction: Workflows where predefined code orchestrates LLMs and tools. Agents, where LLMs dynamically manage their own processes and tool use.

tl;dv offers AI Agentic workflows built on modular AI building blocks that handle tasks like recording, transcription, summarization, and integrations. These workflows operate seamlessly to deliver specific outcomes, such as updating CRMs, extracting customer feedback, or summarizing multiple meetings.

Automated Processes

Remove manual effort with AI automation.

Customizable Prompts

Tailor workflows to your unique business needs.

Seamless Integrations

Sync data directly with tools like HubSpot, Slack, Notion, and many more.

Reliable and Precise

Control workflows to deliver consistent, actionable results.

Our agentic building blocks

tl;dv’s agentic sales workflows are built on core components like recording, transcription, filtering, summarization, and tool integrations. These building blocks can be mix-and-matched to provide the foundation for tailored AI meeting agents that can work autonomously.

Agentic Workflow example

Recording

Capture every word  from reps and prospects in high-quality audio and video for accurate meeting insights.

Transcription

Convert spoken conversations into text – made available for easy reference and analysis. 

Filtering

Identify and focus on the most relevant meetings and data points.

Summarization

Meeting data insights are generated following predetermined meeting structures

Tool Integrations

Seamlessly sync meeting insights into CRMs like Hubspot, Salesforce, productivity tools, and more.

Scheduling

Automate recurring workflows to keep meeting insights consistent and up-to-date.

Build more pipeline with no effort​

Build automations in minutes that save you hours of nonesense busywork tasks like updating the CRM.

How other Sales teams use tl;dv’s agents

From summarizing key insights to automating CRM updates, tl;dv’s AI meeting agents adapt to your workflows, turning sales conversations into actionable outcomes tailored to your teams’ needs.

CRM Update Agent

Process and share meeting insights to specific fields in your CRM (Hubspot, Salesforce, Pipedrive, & more!).

Sales Call Analyst Agent

Analyze sales calls to identify trends, objections, or successful techniques.

Action Item Tracker

Extract and track assigned tasks and deadlines from meetings to ensure accountability.

Follow up Email Agent

Draft follow-ups based on meeting discussions.

Competitor Intelligence agent

Extract competitor insights from meetings to uncover trends and strategies.

Training and Upskilling Agent

Capture training sessions and generate summaries or highlights for future reference.

Employee Onboarding Agent

Provide new employees with summaries of key past meetings to get them up to speed.

Same team, more results

Work smarter with your current team and with seamless AI integrations into the tools you already use.

95%

% Time savings from auto updating the CRM

80%

% Time saved from writing a follow up email after each meeting

3.5X

More sales using the same number of people

4.2k

Hours more productive Sales team

(for a team of 15 reps and 3 Sales managers)

Get back time from busywork and unlock new pipeline

Sign up today and pioneer meeting efficiency in your sales organization

Your questions on AI agents for Sales, answered

Using AI in sales can transform your approach by enhancing efficiency, personalizing customer interactions, and providing actionable insights. Here’s how you can leverage AI for sales:

  1. Lead Scoring and Prioritization

    • How it Works: AI analyzes customer data (demographics, behavior, past interactions) to assign scores to leads based on their likelihood to convert.
    • Value Add: Focuses your sales efforts on high-potential prospects, increasing conversion rates and optimizing resource allocation.
  2. Personalized Customer Engagement

    • How it Works: Machine learning algorithms analyze customer behavior and preferences to tailor communications, product recommendations, and offers.
    • Value Add: Enhances customer experience and builds trust, leading to higher engagement and customer loyalty.
  3. Chatbots and Virtual Assistants

    • How it Works: Deploy AI-powered chatbots on your website or messaging platforms to answer queries, provide product information, and even schedule appointments.
    • Value Add: Provides round-the-clock customer support, captures leads, and frees up human resources for more complex sales tasks.
  4. Sales Forecasting and Predictive Analytics

    • How it Works: AI models examine historical data, current trends, and external factors to predict future sales performance.
    • Value Add: Improves inventory management, budgeting, and strategic planning by offering accurate, data-driven forecasts.
  5. Pricing Optimization

    • How it Works: Algorithms analyze competitor pricing, market demand, and customer behavior to recommend optimal pricing strategies.
    • Value Add: Maximizes revenue and market competitiveness by dynamically adjusting prices to meet market conditions.
  6. Automation of Routine Tasks

    • How it Works: AI automates repetitive tasks such as data entry, CRM updates, and scheduling follow-ups.
    • Value Add: Increases efficiency and allows sales teams to focus on relationship-building and closing deals.
  7. Customer Sentiment Analysis

    • How it Works: Natural Language Processing (NLP) tools scan emails, social media, and reviews to gauge customer sentiment.
    • Value Add: Identifies issues and opportunities in real time, enabling proactive engagement and better customer satisfaction.

By integrating these AI strategies, your sales process becomes more data-driven and efficient, ultimately leading to higher conversion rates, improved customer relationships, and increased revenue.

Using AI for sales prospecting streamlines the process of identifying, qualifying, and engaging potential customers. Here’s how you can leverage AI to enhance your prospecting efforts:

  1. Automated Lead Identification and Generation

    • How it Works: AI tools analyze vast amounts of online data—including social media, websites, and industry reports—to identify potential leads that match your ideal customer profile.
    • Value Add: Saves time by automatically generating a list of prospects that are more likely to convert.
  2. Predictive Lead Scoring

    • How it Works: Machine learning algorithms assess historical sales data and behavioral signals (e.g., website visits, content downloads) to assign a score to each lead.
    • Value Add: Prioritizes leads based on their likelihood to convert, allowing sales teams to focus on high-value prospects.
  3. Data Enrichment and Segmentation

    • How it Works: AI platforms can enrich existing CRM data by appending missing information (such as company size, industry, or decision-maker roles) and segment leads into targeted groups.
    • Value Add: Enhances the accuracy of prospect profiles, enabling more personalized outreach strategies.
  4. Intent Data Analysis

    • How it Works: AI monitors online behavior and signals that indicate a potential buyer’s interest, such as researching a competitor or reading industry-specific content.
    • Value Add: Identifies prospects who are actively in the market, allowing your sales team to engage them at the right moment.
  5. Personalized Outreach

    • How it Works: Natural Language Processing (NLP) tools analyze prospect data to craft personalized messages and email sequences that resonate with each lead’s specific needs and pain points.
    • Value Add: Increases the likelihood of engagement by making communication more relevant and tailored.
  6. Chatbots and Virtual Assistants

    • How it Works: AI-powered chatbots can initiate conversations with website visitors, answer basic queries, and collect contact information for further follow-up.
    • Value Add: Provides immediate engagement with prospects, even outside of regular business hours, and seamlessly integrates into your lead nurturing process.
  7. Continuous Learning and Optimization

    • How it Works: AI systems learn from each interaction and outcome, continuously refining prospecting strategies based on what’s working best.
    • Value Add: Enhances the overall efficiency and effectiveness of your sales prospecting over time by adapting to market changes and customer behavior trends.

By integrating these AI-driven techniques into your sales prospecting strategy, you can accelerate lead discovery, improve the quality of your leads, and ultimately drive higher conversion rates.

An AI meeting agent automates tasks like recording, transcription, summarization, and workflow integration for meetings. tl;dv’s AI meeting agents streamline these processes by capturing meeting insights and integrating them into tools like CRMs and project management platforms. This saves time, enhances productivity, and ensures nothing gets missed.

AI agents like those from tl;dv help improve meeting productivity by automating repetitive tasks, such as note-taking, summarizing discussions, and organizing follow-ups. With features like Multi-Meeting Summaries and seamless integrations into tools like Slack and HubSpot, tl;dv turns meetings into actionable insights, saving hours of manual work.

Agentic workflows are automated processes driven by AI agents to complete tasks with minimal human intervention. These workflows consist of modular components that perform specific functions, such as data collection, processing, filtering, and integration. They are designed to operate autonomously, executing predefined logic or customizable prompts to achieve precise outcomes. For example, an agentic workflow could summarize text, analyze data trends, or integrate information into other tools, offering a streamlined and scalable approach to complex tasks across industries.

tl;dv’s AI meeting agents offer:

  • High-quality recording of audio and video meetings.
  • Transcription for easy reference and analysis.
  • Tailored summarization using customizable prompts.
  • Integrations with CRMs (like Salesforce) and collaboration tools (like Slack).
  • Automated scheduling for recurring workflows.

tl;dv seamlessly connects with tools like HubSpot, Salesforce, Slack, and Notion. Meeting summaries, insights, and action items can be shared directly into these platforms, ensuring real-time updates without manual input. For example, sales teams can sync customer feedback from meetings straight into their CRM.

Yes, tl;dv’s Multi-Meeting Summary Agent can consolidate insights from multiple meetings into a single, concise report. This is perfect for tracking recurring themes, action items, or customer feedback across sales calls or team discussions.

tl;dv integrates with popular tools like Zoom, Google Meet, HubSpot, Salesforce, Slack, Notion, and more. These integrations allow you to sync meeting outcomes directly into CRMs, productivity apps, or communication channels, turning insights into actionable updates.

tl;dv prioritizes your data security with end-to-end encryption and strict privacy standards. Your meeting recordings and transcriptions are stored securely, and you have full control over who can access them.

Yes, tl;dv AI meeting agents can extract action items and tasks from meeting discussions and sync them into tools like Trello, Asana, or Slack. While follow-up emails are not yet fully automated, you can easily draft them using the agent’s insights.

tl;dv’s AI meeting agents are highly customizable with tailored prompts and logic for summarization, filtering, and sharing data. For example, you can set an agent to focus on customer pain points during sales calls or summarize action items for internal meetings.

Common use cases for tl;dv’s AI agents include:

  • Multi-Meeting Summaries: Consolidating insights from team or client calls.
  • CRM Updates: Syncing meeting notes and insights into HubSpot or Salesforce.
  • Customer Feedback: Extracting feature requests and pain points from external calls.
  • Task Management: Sending action items to Trello or Asana.
  • Sales Follow-Ups: Drafting summaries for quick email responses.

tl;dv enhances collaboration by making meeting insights instantly shareable across tools like Slack, Notion, or CRMs. Team members can access summaries, tasks, and updates in real-time, ensuring alignment and reducing the need for redundant follow-ups.

Yes, tl;dv can automate recurring workflows with its scheduling feature. For example, you can set up an agent to create weekly summaries of all team meetings and share them directly to Slack or Notion.

tl;dv uses AI to transcribe spoken conversations into text and summarize them based on customizable prompts. This ensures summaries are tailored to specific needs, like highlighting customer feedback, action items, or team decisions.

Teams like sales, customer success, product development, and remote teams benefit most from AI meeting agents. For example, sales teams use tl;dv to log CRM updates, while product teams track customer feature requests from meeting discussions.

Yes, tl;dv works seamlessly with Zoom, Google Meet, Microsoft teams and other call and video conferencing platforms like Aircall or Hubspot. It captures recordings, transcribes discussions, and integrates meeting insights into your preferred tools for easy sharing and action.