
AI-powered meeting planner agents are transforming how account executives manage client relationships and drive revenue growth through strategic upselling and cross-selling. These agents automate the preparation, execution, and follow-up of upselling/cross-selling meetings, enabling account executives to focus on building rapport and delivering value to their clients. This technology streamlines the sales process, increases efficiency, and maximizes revenue potential.
Before Meeting
Your AI agent analyzes client data, identifies potential upselling/cross-selling opportunities, and prepares a customized presentation highlighting the benefits of additional products or services. You walk into the meeting with a clear strategy and targeted recommendations.
During Meeting
As you discuss client needs and challenges, your AI agent provides real-time insights, suggests relevant solutions, and helps you address objections effectively. This ensures the meeting stays focused and productive.
After Meeting
Post-meeting, your AI agent generates a summary of key discussion points, action items, and follow-up tasks. It also tracks progress on upselling/cross-selling opportunities, ensuring you stay on top of your goals.
What you’ll need
You don't need to be a developer to set up this integration. Follow this simple guide to get started:
- Meeting Notetaker Agent template
- Calendar account
- Meetings to join
- Relevance AI Account

Who this agent is for
This agent is designed for account executives, key account managers, sales managers, and anyone responsible for managing client relationships and driving revenue growth through upselling and cross-selling. It's ideal for individuals and teams who regularly conduct meetings with existing clients to identify opportunities to expand the relationship and increase sales. Whether you're a seasoned account executive managing a portfolio of key accounts or a sales manager looking to improve your team's upselling/cross-selling performance, this agent simplifies the process and helps you achieve your goals.
How this agent makes meeting planning easier
Automate client data analysis and opportunity identification
Instead of manually reviewing client data to identify potential upselling/cross-selling opportunities, the agent automatically analyzes client history, product usage, and market trends to pinpoint relevant solutions.
Generate customized presentations and proposals
The agent creates tailored presentations and proposals that highlight the benefits of additional products or services, addressing specific client needs and challenges.
Provide real-time insights and competitive intelligence
During the meeting, the agent provides real-time insights, competitive intelligence, and objection handling strategies to help you effectively address client concerns and close deals.
Streamline follow-up and task management
The agent automates follow-up tasks, such as sending thank-you emails, scheduling follow-up calls, and tracking progress on upselling/cross-selling opportunities, ensuring you stay on top of your goals.
Benefits of AI Agents for Account Executives
What would have been used before AI Agents?
Account executives traditionally relied on manual methods, such as spreadsheets, CRM reports, and personal notes, to track client interactions and identify upselling/cross-selling opportunities. This process was time-consuming, prone to errors, and often resulted in missed opportunities. They would spend valuable time analyzing data, creating presentations, and preparing for meetings, taking away from their core responsibilities of building relationships and closing deals.
What are the benefits of AI Agents?
AI agents offer a streamlined and automated approach to upselling/cross-selling meeting planning, freeing up account executives to focus on building rapport and delivering value to their clients. The most significant benefit is the time saved by automating the data analysis and presentation creation process. The agent handles everything from identifying opportunities to generating customized proposals, reducing the administrative burden on the account executive.
AI agents also improve the quality of upselling/cross-selling recommendations by providing data-driven insights and competitive intelligence. This ensures that the account executive is presenting the most relevant and compelling solutions to their clients. Furthermore, the agent enhances communication by automating follow-up tasks and tracking progress on opportunities, keeping both the account executive and the client informed and engaged.
By integrating with existing CRM systems and sales tools, the agent provides a seamless and user-friendly experience. This eliminates the need for manual data entry and ensures that all client interactions are accurately recorded and easily accessible. Ultimately, AI agents enhance productivity, improve sales performance, and allow account executives to focus on building strong, long-lasting relationships with their clients.
Traditional vs Agentic meeting planning
Traditionally, account executives spent hours each week manually analyzing client data and preparing for upselling/cross-selling meetings. Now, AI agents automate this, freeing up time for building relationships. Before, identifying potential opportunities involved sifting through CRM reports and spreadsheets. With an agent, relevant opportunities are identified instantly, based on client history and market trends. Creating presentations used to be a manual task, often requiring significant time and effort. Now, they're generated automatically, tailored to each client's specific needs. Following up with clients was a manual process, often prone to delays. The agent automates follow-up tasks, ensuring timely communication. Finally, tracking progress on opportunities was a challenge. The agent provides real-time updates, keeping everything organized and on track.

Tasks that can be completed by an Upselling/Cross-selling Agent
Account executives juggle numerous tasks, from managing client relationships to closing deals and achieving sales targets. An upselling/cross-selling agent can handle many of the administrative and analytical tasks associated with planning and conducting upselling/cross-selling meetings, allowing account executives to focus on their core responsibilities.
Analyzing Client Data and Identifying Opportunities
The agent analyzes client data, including purchase history, product usage, and market trends, to identify potential upselling/cross-selling opportunities.
Generating Customized Presentations and Proposals
The agent creates tailored presentations and proposals that highlight the benefits of additional products or services, addressing specific client needs and challenges.
Providing Real-Time Insights and Competitive Intelligence
During the meeting, the agent provides real-time insights, competitive intelligence, and objection handling strategies to help the account executive effectively address client concerns and close deals.
Automating Follow-Up Tasks and Task Management
The agent automates follow-up tasks, such as sending thank-you emails, scheduling follow-up calls, and tracking progress on upselling/cross-selling opportunities.
Integrating with CRM Systems and Sales Tools
The agent integrates with existing CRM systems and sales tools to ensure that all client interactions are accurately recorded and easily accessible.
Scheduling and Managing Meetings
The agent can schedule and manage upselling/cross-selling meetings, sending invitations, reminders, and follow-up emails to all participants.
Tracking and Reporting on Upselling/Cross-selling Performance
The agent tracks and reports on upselling/cross-selling performance, providing insights into the effectiveness of different strategies and identifying areas for improvement.

Things to Keep in Mind When Building an Upselling/Cross-selling Agent
Building an effective upselling/cross-selling agent requires careful planning and attention to detail. The goal is to create an agent that seamlessly integrates with your existing sales processes and provides a user-friendly experience for account executives.
Define Clear Objectives
Before you start building your agent, define clear objectives for what you want it to achieve. Do you want to increase upselling/cross-selling revenue, improve client satisfaction, or reduce the time spent on meeting preparation? Having clear objectives will help you prioritize features and measure success.
Integrate with Existing CRM Systems and Sales Tools
Ensure that your agent integrates seamlessly with popular CRM systems and sales tools. This will make it easier for account executives to adopt the agent and incorporate it into their daily routines.
Prioritize User Experience
Make sure that the agent is easy to use and intuitive. The interface should be clean and uncluttered, and the process of identifying opportunities and generating presentations should be straightforward and efficient.
Automate Data Analysis and Opportunity Identification
Configure the agent to automatically analyze client data and identify potential upselling/cross-selling opportunities. This will save account executives time and ensure that they are not missing out on valuable opportunities.
Provide Customizable Settings
Allow account executives to customize the agent's settings to match their preferences. This might include setting preferred product categories, specifying target revenue goals, and choosing which CRM fields to analyze.
Test Thoroughly
Before you roll out the agent to your entire sales team, test it thoroughly to ensure that it is working correctly and that it meets your objectives. Gather feedback from account executives and make any necessary adjustments.
Continuously Improve
Once your agent is live, continue to monitor its performance and gather feedback from account executives. Use this information to identify areas for improvement and make ongoing enhancements.
The Future of AI Agents in Upselling/Cross-selling
The future of AI agents in upselling/cross-selling is promising, with advancements in artificial intelligence and machine learning poised to further transform the sales process. Future agents will be able to understand client needs and preferences with greater accuracy, predict future purchase behavior, and personalize upselling/cross-selling recommendations in real-time.
AI agents will also become more proactive, identifying potential opportunities before they even arise and alerting account executives to take action. They will be able to analyze market trends, competitor activity, and client feedback to anticipate future needs and proactively suggest relevant solutions.
Furthermore, AI agents will play a larger role in automating the entire upselling/cross-selling process, from identifying opportunities to generating proposals and closing deals. They will be able to negotiate pricing, manage contracts, and even handle customer service inquiries, freeing up account executives to focus on building relationships and pursuing new business opportunities.
AI agents will also integrate with other business applications, such as marketing automation platforms and customer service systems, providing a holistic view of the customer journey and enabling more personalized and effective upselling/cross-selling strategies.
Ultimately, the future of AI agents in upselling/cross-selling is about creating intelligent systems that not only automate the sales process but also enhance the customer experience and drive revenue growth.
