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AI agents: definition and impact on sales performance
In 2024, generative AI made a sensational debut in marketing and sales teams. Since 2025, a new generation of tools has become firmly established: AI agents. Less visible than generative AI, but far more targeted, they work toward specific goals within a controlled framework to save time, refine sales messaging, and boost impact in the field.
An AI agent is intelligent software that incorporates one or more artificial intelligence engines, designed to achieve objectives defined by its function within a given business context. It never acts alone: it supports sales representatives within a clearly defined framework by analyzing data and suggesting actions tailored to the situation.
The basics in 30 seconds
- An AI agent differs from generative AI: it operates within a defined business context, with a specific objective, rather than producing raw content based on prompts.
- Three concrete benefits: refocusing sales reps selling, tailoring their messaging at the right time, and accelerating skill development.
- He supports the sales representative at every stage: before, during, and after the meeting.
- Salesapps has developed seven AI agents designed for field sales and has now integrated Marvin to provide ongoing training for teams.
Contents
What is an AI agent?
According to HubSpot, 65% of sales reps reported using AI on a daily basis. Unlike generative AI, the AI agent’s business specialization allows it to be extremely precise, even with minimal instructions: it’s essentially generative AI enhanced with business and process knowledge. The AI agent selects the best information or recommendations to support sales activities, such as better preparing for a meeting, structuring a sales pitch, or prioritizing opportunities.
The AI agent therefore significantly enhances the sales representative’s ability to analyze, make decisions, and take action. It is an AI assistant for the sales force, designed to support sales representatives at every critical stage of the sales cycle.
AI Agent vs. Generative AI: Two Approaches, Two Uses
Generative AI, now widely accessible thanks to tools like Mistral, ChatGPT, Perplexity, DeepSeek, Claude, and Gemini, is designed to generate content based on instructions—the so-called prompts. Text, images, scripts—it generates whatever is asked of it, but without any real understanding of the business context or the objectives to be achieved. It is effective as long as it is properly guided. Otherwise, it can produce inaccurate or even off-topic results, with prompts that sometimes turn into full-fledged specifications—complex and tedious to write.
Conversely, an AI agent does not produce “raw” content. It operates within a defined framework, with a clear objective—typically set by the marketing or sales teams. It relies on generative AI, but in a different way: it is action-oriented, filtered through business needs, and governed by specific, predefined rules.
While a generative AI can draft a prospecting email if given a comprehensive brief, an AI agent will be able to identify the right approach for a given prospect, based on that prospect’s profile, the context of the meeting, and the company’s business priorities.
The AI agent does not replace the sales representative’s judgment or interpersonal skills. It simply provides intelligent decision support tailored to the specific challenges of B2B sales.
AI Agents: 3 Benefits to Boost Sales
In the field, AI agents are already changing the way sales meetings are prepared, conducted, and followed up on. More than just a digital assistant, it’s a sales support tool designed to lighten the load of time-consuming tasks and allow teams to focus on what matters most: selling.
Refocusing sales reps on sales
According to LinkedIn’s State of Sales report, sales reps an average of 67% of their time on non-sales-related tasks, including 19% on administrative work and 17% on updating the CRM. The AI agent helps reduce this workload by automatically summarizing key information before a meeting or by handling certain follow-up tasks.
Better customization, at the right time
According to a Forrester study, personalization can improve conversion rates by 40%. And according to the Global B2B Payments Playbook, 85% of B2B buyers consider the shopping experience to be just as important as the product or service itself. The AI agent helps sales reps their pitch: opening lines that address the prospect’s challenges, anticipating objections, and recommending the most relevant content.
Accelerating skills development
An AI agent does more than just provide immediate assistance to the sales representative. By analyzing data from previous interactions, it identifies specific areas for improvement: approach, sales pitch, pacing, and the relevance of responses. It’s a form of learning that’s integrated into daily work, personalized, and results-oriented.
The Context in Three Figures
How a salesperson uses an AI agent at every stage of the sales cycle
The AI agent seamlessly integrates into the sales rep’s daily routine to support them at the right moments—the ones that make all the difference in a sale.
Before the meeting: targeted analysis and prioritization
Rather than spending an hour sifting through the available information, the sales representative relies on their AI assistant to quickly access the essentials: the company’s background, identified challenges, recent communications, and recent signs of interest. In just a few minutes, they have a concise, customized brief that allows them to refine their approach and go into the meeting with a head start.
During the appointment: discreet support and a smooth experience
Facing his client, the sales representative begins the conversation with confidence and quickly gains credibility. He can count on his AI agent to support him as needed—whether it’s verifying a piece of information, finding a figure, or addressing an objection. The agent steps in without disrupting the conversation, providing targeted assistance that keeps the exchange flowing smoothly and focused on the conversation.
After the appointment: Structuring the Follow-Up
The AI agent helps immediately organize the follow-up: topics discussed, actions to take, and information to share. A thank-you email is ready to send, the CRM is updated, and the next steps are clear. By analyzing the conversation, it also identifies points to explore further during the next contact and any unresolved objections.
The AI agent does not replace the sales representative: it organizes the sales representative’s work and enables them to be more effective, faster, and more composed, without getting sidetracked.
See it in action
Which AI agents are right for your sales team?
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Request a personalized demoHow marketing uses AI agents to better support sales
Marketing no longer operates in silos. Its mission goes far beyond lead generation: it must also equip sales reps, refine messaging, and enhance the effectiveness of field activities. Thanks to the insights generated by AI agents, marketing can better understand the challenges faced by prospects: what interests them, the content they view, and the common objections reported from the field.
A concrete example: After several meetings, an AI agent can help identify a recurring pattern related to a barrier to purchase. The marketing team can then create targeted content that helps the sales rep overcome that barrier more easily during future interactions. More than just a technological revolution, this is a strategic alignment around a common goal: enabling sales reps more persuasive, faster.
How AI Agents Are Transforming Teams
| Without the AI agent | With the AI agent |
|---|---|
| A lot of time spent researching, sorting, summarizing | Quick access to the essentials, without info overload |
| Appointment preparation varies by profile | Structured, consistent and contextualized preparation |
| Difficulty of large-scale customization | Targeted customization at every stage of the cycle |
| Customer care depends on individual attention to detail | Smooth, automated tracking aligned with CRM |
| Marketing content sometimes disconnected from the field | Alignment strengthened by insights from the field |
| Little concrete feedback on how to improve posture | Regular Recommendations for Progress |
The 7 AI agents developed by Salesapps
Salesapps’ first AI agents were launched live at the Sales Excellence Meetup. Since then, the ecosystem has expanded: Salesapps now offers seven AI agents, each designed for a specific stage of the sales cycle. Easy to use for sales reps of all experience levels, they provide accurate, summarized information, making it easier for sales reps to act on it.
| Agent IA | Its role in sales |
|---|---|
| Individual Profiler | Analyze the contact's profile to tailor the approach and sales pitch. |
| Company Profiler | Provides an overview of the target company to help you prepare effectively for the meeting. |
| Note Taker | It automatically organizes meeting or appointment summaries and suggests ways to improve them. |
| Doc Summarizer | Analyzes content, summarizes it, and highlights key messages to use in sales pitches. |
| Sales Assistant | It allows you to quickly get reliable answers from your company’s internal content. To learn more, check out our article “Sales Bot: The Salesapps Intelligent Assistant, ” which explains how it works. |
| Podcast Maker | Turn important content into impactful podcasts that are easy to listen to on the go. Our article , “B2B Podcasts: How AI Is Transforming the Way Information Is Shared,” explains this approach in detail. |
| Business Meeting | Records meetings and automatically generates meeting minutes, complete with a conversation analysis. |
These agents, natively integrated into Salesapps, provide the right insights to help you close deals more effectively and simplify reporting. They function as a scalable ecosystem: each agent integrates seamlessly without altering your established processes, serving as a discreet reinforcement for your sales and marketing teams.
Marvin: Ongoing Training for sales reps
Beyond providing day-to-day sales support, Salesapps has integrated Marvin, the AI training platform powered by 25 years of b-flower expertise. While the seven AI agents described above support sales representatives both before and after meetings, Marvin focuses on another aspect: long-term skill development.
When paired with the Business Meeting agent—which records meetings and generates meeting summaries—Marvin performs a conversational analysis of the meetings to identify key strengths and areas for improvement. This analysis takes into account the specific market and product context, as well as each client’s unique sales methods. The Marvin module not only provides sales reps key sales reps based on real-world conditions in the field, but also allows them to train with virtual agents that simulate multiple sales scenarios and Ideal Customer Profiles (ICPs). Managers have concrete metrics to track their teams’ progress and foster a culture of regular, rather than sporadic, training.
Conclusion: The AI Agent—A New Business Standard
In an environment where every meeting counts and every message must be precise and relevant, AI agents bring a new form of intelligence: applied intelligence that drives sales performance. At Salesapps, we firmly believe that the sales force remains human, but that it can rely on powerful tools designed specifically for its line of work.
Frequently Asked Questions About AI Agents
What is the difference between an AI agent and a chatbot?
A chatbot is designed to respond to simple requests, often through a predefined workflow (FAQs, appointment scheduling, customer support). An AI agent goes a step further: it interacts with a business environment, collects and cross-references various data sources, and suggests actions tailored to a given situation. It acts as a strategic assistant, not as an automated response tool.
How is an AI agent different from a generative AI like ChatGPT?
Generative AI produces content based on prompts. It is useful for writing or creating content, but without a business framework, it can generate errors or off-topic content. An AI agent, on the other hand, is tailored for a specific professional use case. It harnesses the power of generative AI, but within a framework defined by the company, with clear objectives.
For what types of businesses are AI agents useful?
AI agents are particularly useful for B2B sales teams that manage complex sales cycles, frequent meetings, and high expectations for personalization. They provide tangible support to any team looking to sell more effectively without complicating their processes.
How do AI agents improve sales performance?
AI agents sales reps time, better prepare for their meetings, and personalize their pitches. They make it easier to access the right information at the right time, while simplifying follow-up after the meeting. The result: more effective meetings, higher conversion rates, and teams that feel more confident in their day-to-day work.
How many agents does Salesapps currently offer?
Salesapps offers seven AI agents: Individual Profiler, Company Profiler, Note Taker, Doc Summarizer, Sales Assistant, Podcast Maker, and Business Meeting. This ecosystem is set to expand regularly, with each new agent integrating natively into the existing sales environment.
What is the connection between Marvin and Salesapps' AI agents?
Marvin is an AI-powered training platform integrated with Salesapps. While the seven agents support sales representatives on a daily basis (before, during, and after meetings), Marvin focuses on long-term skill development, drawing in particular on the reports generated by the Business Meeting agent.
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