You recorded 25 sales calls last week. Those conversations contain insights about your customers, sales opportunities and key information to turn leads into closed deals. However, who has the time to listen to all of them?
AI for sales calls can help you analyze customer conversations and create action items – without adding extra hours to your workday.
In this article, you’ll learn how to use AI tools and apps to be more efficient and transform your entire sales process – from preparing calls with data-driven insights to getting real-time coaching during conversations and automating your follow-ups.
Key takeaways from AI sales calls
AI sales call software uses artificial intelligence to support reps before, during and after conversations by capturing insights, guiding interactions and automating follow-ups.
AI tools improve sales efficiency by reducing admin work, strengthening customer conversations and creating a feedback loop that helps teams refine their approach over time.
The right solution depends on a team’s workflows, sales complexity and how call insights feed into their broader sales processes.
Pipedrive helps teams centralize AI-driven call insights, track deal progress and automate follow-ups – try it free for 14 days.
What is AI for sales calls?
AI for sales calls refers to sales teams using artificial intelligence to improve customer conversations and outcomes.
The AI helps sales reps prepare for calls, have better conversations in real time and handle repetitive tasks. Many of these tools use AI agents or bot-based assistants to support reps with insights and automation during and after calls.
AI tools assist sales teams across three main call stages in the sales cycle:
Before calls |
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During calls |
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After calls |
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Many of these tools are delivered through SaaS platforms that integrate with your existing sales tech stack
Using AI for sales calls provides call data that makes your sales operations more intelligent over time. By understanding conversation patterns and customer responses, you can identify areas for improvement across specific sales processes, like:
Call preparation, research and onboarding
Customer interaction and engagement
Note-taking and documentation
Follow-up planning and execution
Sales training and coaching
Performance tracking and improvement
Customer journey insights gathering
Sales strategy development
Sales outreach planning and execution
Enhancing these processes with AI allows you to create a feedback loop. The AI analyzes your calls to identify what works best so you can apply what you’ve learned to future conversations. You refine your process with each interaction and help your team adapt their approach.
9 steps to creating the perfect sales strategy (with free template)
Traditional sales calls vs. AI sales calls
In traditional sales calls, sales agents juggle multiple tasks (e.g., taking notes, listening actively, managing the conversation flow, formulating responses, etc.).
After the call, they rely on memory and quick notes to piece together what happened.
Moreover, when you train new sales representatives, they must shadow experienced sales professionals. New reps learn skills like handling objections, recognizing buying signals or when to move forward with a sale through trial and error.
AI for sales calls reduces administrative load so reps can focus more on the conversation. The system automatically captures every detail while your sales reps talk to customers.
Some AI tools also provide guidance based on what’s worked before. New sales reps can get instant feedback and learn from successful calls across the whole team, rather than waiting to observe new calls in action.
Here are some of the differences between AI sales calls and traditional sales calls:
AI sales calls | Traditional sales calls |
Documentation: AI records every word and turns it into searchable text. | Documentation: a sales rep scribbles notes during calls, often missing important details. |
Knowledge sharing: the whole team can learn from every call’s successes and failures, leading to better conversion rates. | Knowledge sharing: success depends on each sales rep’s experience. |
Training: AI can identify the best calls to train specific skills. | Training: new sales reps learn by listening to random call recordings or shadowing experienced sales reps. |
Customer understanding: AI catches insights and summarizes the conversation’s key points. | Customer understanding: relies on the sales rep’s memory and CRM notes. |
Follow-up: AI provides a list of action items from the conversation. | Follow-up: sales reps create action items from memory after calls. |
AI can help your team refine sales tactics and turn every customer interaction into lasting insights.
These insights become especially valuable at scale, helping teams deliver more consistent performance in high-volume sales environments like call centers.
Benefits of using AI for sales calls
Besides offering technical capabilities like data collection, insights and better call preparation, AI for sales calls also improves your team’s well-being and helps you boost revenue.
Here are some of the benefits of AI sales calls.
Reduces team burnout
AI tools can reduce burnout by handling non-sales tasks for your team.
According to Pipedrive’s State of Sales and Marketing 2024 report, 38% of sales professionals believe that, among emerging technology options, AI tools have the biggest positive impact on their work.
Further, 24% specifically identify automated data aggregation tasks, such as logging sales data and customer notes, as the most valuable features.
Streamlining admin means fewer tools and roles for salespeople to juggle, so they feel less overwhelmed and can use their time effectively to close deals.
Note: Before adding AI tools to your sales toolkit, evaluate your current stack. The exact number of tools you need may vary according to your business model. Instead of juggling multiple tools, prioritize a robust CRM system and an AI tool that integrates with it.
Deepens customer connections
Sales professionals using AI for call management can have more meaningful customer conversations with potential customers.
Instead of worrying about taking notes, sales reps can actively listen and ask better follow-up questions.
AI improves the customer experience as sales reps can:
Maintain eye contact and flow
Catch emotional cues
Create lasting impressions
Identify customer needs through better listening
Close deals with genuine relationship-building
Handle objections smoothly without checking notes
When customers feel this level of engagement, they’re more likely to view you as a trusted advisor rather than just another vendor.
Note: While active listening is important, if your customer dominates the conversation, deals might stall. However, customers can feel ignored when sales reps talk too much.
A best practice is to have a talk ratio of 40-60%. AI sales tools can track this ratio, which helps your sales reps improve.
Improves ROI
Using AI for sales call automation can improve your ROI regarding the time your team spends on non-selling tasks.
This impact is especially clear in outbound sales, where SDR teams rely on high call volumes to generate pipeline.
One company found that AI note-taking can save the average sales rep four hours per week. For a small team of five sales reps, that’s 80 hours per month you can redirect to selling without increasing headcount.
Let’s look at an example of the impact this change can have:
Say you have the same five-person team that starts using AI for sales calls. Your company sells HR software packages at $12,000 per year, and your sales team:
Needs three calls to turn one lead into a customer
Requires one hour for each call and follow-up work after
Converts 15% of qualified leads
Thanks to the 80 hours AI saves each month, your team can make 80 more monthly sales calls.
For this example, assume all saved time goes to qualified leads and treat each call independently to demonstrate the basic concept.
To calculate the additional revenue:
80 calls × 15% = 12 converted calls
You’d then take the number of converted calls and divide by the number of calls per deal:
12 converted calls ÷ 3 calls per deal = 4 new customers per month
Considering four new customers per month at $12,000 per customer per year, redirecting admin time to actual selling generates an extra $48,000 per year, or $4,000 per month, in revenue.
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Best practices for analyzing sales calls with AI
Analyzing sales calls with AI helps you turn past conversations into clear, repeatable improvements.
Instead of focusing only on live call support, sales call analysis AI lets you review what happened, identify patterns and apply those insights to future deals.
Here’s how to use AI to analyze calls effectively before, during and after your review process.
Before analysis: set up what to track
Use your AI tool to define the signals you want to analyze across calls.
This setup ensures your insights are consistent and actionable.
Begin by identifying the following:
Customer pain points (what problems do they mention?)
Common objections (what’s stopping them from buying?)
Next steps (what did you promise to do?)
Product interests (which features got their attention?)
Tracking these signals also supports lead qualification and lead scoring, helping your team identify the right prospects and prioritize those most likely to convert.
Once you’ve configured these topics, set up filters or alerts to quickly review patterns across multiple calls.
Note: Review a small sample of recent calls first to validate that your tracking reflects real conversations. Adjust as needed before scaling your analysis.
During analysis: focus on patterns, not single calls
Avoid having AI review conversations in isolation by setting it to look for trends across multiple interactions.
Use AI-generated transcripts, summaries and metrics to:
Compare talk-to-listen ratios across reps
Spot recurring objections or questions
Identify shifts in sentiment during key moments
Highlight where deals move forward or stall
This type of review turns raw conversations into sales intelligence your team can use to improve performance over time.
If you need to, use short clips or key moments to dig deeper, but keep your focus on repeatable patterns rather than one-off insights.
After analysis: turn insights into action
Insights from sales call analysis AI only matter if you apply them, so after reviewing calls, focus on what changes your team can make next.
Prioritize:
Updating call scripts based on common objections
Sharing strong call examples for team training
Adjusting follow-up timing based on sentiment or deal stage
Flagging product or messaging gaps for other teams
Sharing insights across teams improves meeting productivity and ensures customer needs don’t fall through the cracks. It also helps sales leaders guide the organization’s coaching and sales training strategy.
Note: Set aside time each week to review trends and track improvements. Consistent analysis helps your team refine its approach and improve results over time.
7 best AI sales call tools for small businesses
The best AI sales call tools help small businesses capture insights, improve conversations and act faster after every call.
Every sales conversation is a goldmine of insights. When you’re running a small business, you need tools that help you find those insights without adding complexity to your workflow.
We selected the following software based on some essential aspects of sales calls:
Real-time transcription and note-taking. Turns your conversations into searchable knowledge. You can focus on building customer relationships while capturing important details.
Conversation intelligence. Helps you understand what makes a successful sales call. You can analyze patterns across all conversations to know what works and what doesn’t.
Sales coaching. Provides real-time guidance during calls. The AI tool can help you handle objections better and spot sales opportunities.
Automated follow-up systems. Turn conversations into action. It handles the administrative tasks after the call ends (e.g., follow-up emails, reminders or CRM updates).
The table below summarizes the tools that excel in these categories to improve customer support and your entire sales process, from lead generation to deal closure.
Each platform supports different use cases, from improving call quality to scaling outreach and refining sales strategy.
AI sales call tool | Standout details |
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1. Fireflies.ai |
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2. CallHippo |
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3. GReminders |
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4. PitchPatterns |
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5. Avoma |
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6. ZBrain AI Copilot |
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7. Aircall |
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Now you have some insight into these solutions, let’s consider each one in greater detail.
1. Fireflies.ai: best for sales call transcription and insights
Fireflies.ai is an AI meeting assistant that helps you record and transcribe conversations.
It connects to any major video conferencing platform (e.g., Google Meet, Zoom, Outlook, etc.) to take detailed notes.
The platform creates a library of call transcripts, allowing you to revisit your completed conversations and review them in minutes. You can highlight the most important parts of a conversation, leave comments and share them with your team.
Note: You can integrate Fireflies.ai and Pipedrive to automatically sync all call notes and action items to your deals.
Some of Fireflies.ai’s key features include:
Smart search. Use AI filters to find action items, next steps, questions or times.
Custom topic trackers. Set up alerts for specific phrases or topics you want to track, from product features to customer pain points.
Real-time transcription. Get transcripts of your calls with speaker identification and timestamp markers. It supports over 100+ languages.
Conversation intelligence. Track talk ratio, sentiment and other performance metrics. Spot patterns across your calls to show what top performers do differently.
Team collaboration. Leave comments and reactions in key parts of the call so team members can see them. You can also share soundbites or key audio clips.
Best for: sales teams that want to turn conversation data into actionable insights without adding manual work to their day.
2. CallHippo AI: best for AI-guided sales and phone calls
CallHippo is a business communication platform that uses AI to guide and improve sales conversations during and after calls.
The system measures performance metrics like talk-to-listen ratio, customer sentiment and call duration.
Sales reps can use the metrics to adjust their approach during calls. For example, speaking less when the ratio shows they’re dominating the conversation. When sentiment analysis flags customer frustration, they can answer more empathetically.
Note: You can integrate CallHippo and Pipedrive to streamline calls, leave notes or trigger follow-up emails within Pipedrive.
Some of CallHippo’s key features include:
Sentiment analysis. Analyze voice patterns to track customer emotions during calls. Based on their pain points, you can change your approach.
Talk-to-listen ratio. Monitor the balance between speaking and listening to optimize your conversation flow.
Topic extraction. Identify common themes and concerns across calls to spot trends in customer needs.
Performance scoring. Get an automated rating for each call based on factors such as duration and customer satisfaction.
Call summary and transcriptions. Transcribe the call with timestamps and get a summary of the key points discussed.
Best for: sales teams that want AI guidance during calls to improve conversation quality and close more deals.
3. GReminders: best for auto-syncing call summaries to CRM
GReminders is a meeting manager platform with AI note-taking features.
You get meeting transcripts, recordings and follow-up tasks. The platform also handles the admin work after each call. It creates summaries, identifies action items and syncs them to your CRM.
Note: You can automatically integrate GReminders with Pipedrive to write notes or tasks in Pipedrive’s CRM.
Some of GReminders’ key AI sales call features include:
AI transcription. Get accurate meeting transcripts with speaker identification and timestamps.
Automated summaries. Receive email summaries with key points and action items after each call.
Task creation. Automatically turn conversation action items into CRM tasks.
Meeting sharing. Share summaries, recordings and transcripts with team members.
Best for: sales teams looking to automate post-call documentation and CRM updates to save time on admin work.
4. PitchPatterns: best for identifying objections and call patterns
PitchPatterns is an AI-powered conversation analytics tool that spots patterns in customer interactions.
It tracks emotions, topics and key moments to help you understand what works and what doesn’t.
The platform connects your conversation data with CRM KPI metrics to find successful patterns. You can see which metrics affect soft or hard skills, note which calls need attention and get insights into how top performers handle similar situations.
Note: You can integrate PitchPatterns with Pipedrive to see a PitchPatterns deal overview widget in the details of your deals/contacts in Pipedrive.
Some of PitchPatterns’ key features include:
Topic analysis. Set rules to track topics, moods or emotions and see how they affect deal outcomes.
Call markers. Flag important moments such as pricing discussions or objections for easy review.
Visual performance metrics. Visualize the call timeline with a complete breakdown of who’s speaking, what topics they discuss and the emotional tone at each moment.
Team coaching. Help sales reps improve by using a point system with leaderboards and a list of recent achievements. Experienced reps can leave comments to help new reps and gain more points.
Best for: sales teams that want to spot conversation patterns and objections. They want to improve their call performance and replicate successful approaches.
5. Avoma: best for meeting analytics and team coaching
Avoma is an all-in-one scheduling, communication and revenue intelligence platform with AI-powered insights and coaching features.
The platform records your meetings, creates transcripts and generates detailed notes.
It also analyzes your sales methodology execution and deal health. The AI tracks key sales factors such as pain points and critical events and generates a win-loss analysis from your conversations.
Note: You can integrate Avoma with Pipedrive to provide coaching, get insights and improve your sales call methodologies.
Some of Avoma’s key AI sales call features include:
AI-generated smart chapters. Generate smart chapters that segment your sales call recordings by key topics. You can search for a specific topic and watch or listen to the call excerpt to identify the speakers involved.
AI copilot chatbot. The “Ask Avoma” AI copilot is a chatbot that lets you ask questions about a meeting using natural language.
Live answer assistant. The AI displays quick reference cards on your screen during calls with talking points to address objections. The feature tracks your team’s feedback on the helpfulness of the cards to optimize their content.
AI call scoring. Use pre-built sales methodology templates to evaluate calls or create your own scorecards.
AI win-loss analysis. Use AI to analyze all meetings and emails to identify key moments that determine deal outcomes.
Best for: sales teams that want AI-powered coaching and analytics. They want to improve their sales methodology execution and deal forecasting.
6. ZBrain AI Copilot: best for identifying communication gaps and opportunities
ZBrain AI Copilot is an AI-powered sales assistant that fits seamlessly into your CRM workflow.
The platform integrates with your CRM and analyzes deal history to understand the patterns that lead to success.
Note: You can integrate ZBrain AI Copilot with Pipedrive to get deal summaries, predictive insights and next action items. When the AI suggests your next action items (like sending an email), it prepares a draft of the content.
Some of ZBrain AI Copilot’s key features include:
Executive summary generation. Get activity summaries that update automatically. The AI Copilot for sales analyzes all your deal activities (e.g., notes, calls, emails, etc.) to ensure your team has the necessary context.
Gaps and issues identification. Catch potential roadblocks and communication issues early. The platform alerts of delays in responses and inconsistencies between customer expectations and deal progress. It also sends follow-up reminders.
Next best action suggestions. Provides specific recommendations for next steps based on deal patterns. It can suggest sending emails, creating documents or making calls.
Best for: sales teams that want AI-powered guidance to keep deals moving forward and prevent communication gaps.
7. Aircall: best for smart calling with built-in analytics
Aircall is an AI-powered customer communications platform with lead scoring and sentiment analysis functionality.
Sales managers can use those key metrics and conversation pattern analyses to identify coaching opportunities to improve team performance.
Note: You can integrate Aircall with Pipedrive to review call transcriptions, summaries and key topics.
Some of Aircall’s key features include:
AI call summaries. Get snapshots of past conversations to quickly understand context. The system transcribes calls, identifies key discussion points and measures talk-to-listen ratios.
AI trending topics. Understand what topics are trending across sales calls to assess your customer’s priorities.
Call tagging and categorization. Automatically segment calls by topic, outcome or intent so teams can organize conversations, spot trends and report on performance more easily.
Best for: sales teams that need basic note-taking capabilities and insights to improve their sales calls.
Final thoughts
When implementing AI for sales calls, consider your team’s comfort with technology. Pick tools that enhance rather than complicate your workflow to boost team productivity and the future of sales success.
Pipedrive’s CRM integrates with leading AI sales calls tools, letting you manage conversations, track insights and automate messaging. Perfect for small teams looking to scale their sales efforts.
Try Pipedrive free for 14 days and explore how it can help you leverage AI to transform your sales conversations from start to finish.
