How to Use AI in Sales & Actually Make It Work in 2025?

Most sales teams are still stuck doing the same repetitive tasks: researching leads, writing emails, updating CRMs, and trying to guess which deal might close next.

But AI can now handle a lot of that for you faster, cheaper, and more accurately.

In this guide, I’ll show you exactly how to use AI in your sales process, with tools, tips, and use cases that actually work.

Why Use AI in Sales?

Because you’re wasting time on things AI is built to handle:

• Guessing which leads are worth following up
• Building contact lists from scratch
• Writing hundreds of cold emails
• Manually logging CRM notes

AI flips this. It gives you more time to actually sell, while it handles the repetitive, data-heavy work in the background.

How to Use AI in Sales to Close More Deals

Overview: Here’s how you can plug AI into each critical part of your sales.

Let's look at these steps in detail. 

Step 1: Find and Qualify Leads Faster and Smarter

Building lead lists by hand isn't just a massive time-waster; it's often inaccurate and limited.

Here’s how you can do it the smart way:

1. Find leads with a dedicated prospecting tool: Start by using tools like Clay, Seamless.ai, Apollo.io, or ZoomInfo to build your initial, broad lead lists based on your ideal customer profile.
2. Automate lead enrichment with Lindy: Once you have a basic lead list, train Lindy to pull in additional company details, recent news, or LinkedIn data points from various public sources. This saves your team hours of manual research per lead, making the data richer and more actionable.
3. Prioritize follow-ups using Lindy: Integrate Lindy with your CRM. As new enriched leads come in, Lindy can automatically analyze their profiles against your ideal customer criteria and flag or prioritize high-potential leads for your reps.
4. Get pre-call briefings from Lindy: Before a call, simply ask Lindy to pull up a quick summary of the prospect and their company based on the enriched data, preparing your rep instantly and saving them research time.

Step 2: Automate Cold Emails (That Sound Human and Get Replies)

Writing truly personalized outreach at scale used to be impossible. Now, AI makes it not only possible but also efficient, leading to higher engagement.

Here’s how you can automate cold emails:

1. Generate hyper-personalized content with Lindy: Instead of just basic merge tags, train Lindy to draft unique, personalized email intros and body paragraphs. You feed Lindy specific lead data points (e.g., a recent company announcement, their LinkedIn posts, shared connections), and it generates compelling, human-sounding copy tailored to each prospect.
2. Use a sales engagement platform for sending: Plug these personalized emails into tools like Smartlead.ai, Instantly.ai, or Regie.ai to manage sending at scale, track opens, and deliverability.
3. Create dynamic follow-up emails with Lindy: Train Lindy to suggest or even draft follow-up emails based on a prospect's interaction within the engagement platform (e.g., "they opened but didn't reply," "they clicked a specific link"). This ensures your outreach remains relevant and timely.
4. Get response analysis from Lindy: When replies come in, Lindy can help you quickly sort them, flagging positive interest or identifying common questions that need a standardized response, streamlining your inbox.

Step 3: Record and Analyze Sales Calls for Coaching and Insights

Forget frantic note-taking during calls or struggling to recall key details later. AI acts as your co-pilot. While specific tools record and transcribe, Lindy can take that raw data and turn it into actionable tasks and CRM updates.

Here’s how to use AI for sales calls and coaching:

1. Record calls with a conversation intelligence tool: Use tools like Gong.io, Fireflies.ai, or Avoma to automatically record and transcribe your sales calls from Zoom, Google Meet, or phone systems.
2. Get automated call summaries and action items from Lindy: After the call recording tool transcribes, train Lindy to process the transcript. Lindy can then create concise summaries, extract specific action items, and identify key discussion points. For example, "Create follow-up task for John Doe: send pricing sheet by Friday."
3. Instantly update your CRM from calls with Lindy: Train Lindy to listen for specific information in call transcripts (e.g., next steps, budget mentioned, decision-maker confirmed). Lindy can then automatically update relevant fields in your CRM, eliminating post-call admin for reps.
4. Generate follow-up emails with Lindy: Based on call outcomes and action items, Lindy can draft personalized follow-up emails for reps, including next steps discussed on the call, ensuring prompt communication.

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Step 4: Forecast Deals with Real Data (No More Guessing)

Traditional sales forecasting often relies on subjective judgment and messy spreadsheets.

Here’s how you can transform it into a data-driven science with AI:

1. Integrate your CRM with a forecasting tool: Connect your CRM (like Salesforce or HubSpot) to a dedicated AI forecasting tool such as Clari, Salesforce Einstein, or HubSpot AI. These tools analyze historical data and pipeline activity.
2. Ensure data accuracy with Lindy: Accurate forecasts rely on clean CRM data. Lindy works in the background to ensure CRM fields are constantly updated post-call or email, making sure the data feeding your forecasting tools is reliable and complete.
3. Get proactive deal health alerts from Lindy: While a dedicated tool gives high-level forecasts, Lindy can monitor individual deal activity within your CRM and flag immediate, granular concerns. For example, "Alert: Deal with Acme Corp hasn't had any communication in 7 days, last task overdue. Suggest rep follow up."
4. Use Lindy for custom risk scoring: You can train Lindy to identify specific patterns that signal deal risk (e.g., if a competitor is mentioned, if certain key stakeholders haven't been engaged).

Step 5: Let AI Handle CRM Updates and Admin Work (The Silent Revolution)

Perhaps one of the most universally hated sales tasks is updating the CRM. It's tedious, time-consuming, and often leads to incomplete data. But AI can simplify that in the following ways:

1. Automate logging and summarization with Lindy: Connect Lindy to your email, calendar, and meeting platforms. Lindy automatically logs calls, meetings, and emails into your CRM. More than just logging, it can summarize conversations and extract key data points to populate relevant CRM fields.
2. Get intelligent task assignment and follow-ups from Lindy: Based on meeting outcomes or email interactions, Lindy automatically schedules follow-up tasks, creates reminders, and assigns next steps to the right team member in your CRM. For instance, after a sales call, Lindy can create a task for "Send proposal to Prospect X by end of day."
3. Keep data clean with Lindy's continuous clean-up: Lindy can constantly monitor your CRM data. It can pull in updated information from various sources (e.g., company news, LinkedIn) to enrich existing contact records and identify/merge duplicate entries, keeping your CRM pristine without manual oversight.
4. Create custom workflows with Lindy: You can train Lindy to execute complex, multi-step workflows based on specific triggers. For example, "When a deal reaches 'Proposal Sent' stage in the CRM, auto-schedule a follow-up call for 3 days later and draft a reminder email for the rep."

Step 6: Use AI to Keep Customers Happy and Find Upsell Opportunities (Post-Sale Power)

The sales process doesn't end at the close. AI can improve your customer success, retention, and expansion.

For example, by monitoring customer behavior and usage patterns, Lindy can proactively spot churn risks and highlight upsell or cross-sell opportunities.

1. Predict churn risk and get alerts from Lindy: Integrate Lindy with your product usage data or support ticketing system. Lindy can monitor patterns (e.g., decreased product usage, multiple support tickets without resolution, lack of email engagement) and proactively alert your customer success or account management team about potential churn risks.
2. Identify upsell/cross-sell triggers with Lindy: By analyzing customer interactions or usage data (from integrations with product analytics tools), Lindy can detect signals indicating a customer is ready for new features or complementary products. For example, "Customer X has used Feature Y extensively; they might be ready for add-on Z."
3. Automate renewal management with Lindy: Lindy can be trained to trigger automated, personalized reminders for contract renewals, ensuring timely follow-up from your account managers. It can even draft the initial outreach message.
4. Get quick customer health summaries from Lindy: Before a quarterly business review or check-in call, Lindy can quickly pull together key metrics, recent interactions, and sentiment for a customer, helping your customer success manager prepare efficiently.

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How to Get Started with AI in Sales?

You don't need a full technological overhaul to start seeing the benefits of AI in sales. The key is to start small, prove value quickly, and then scale your efforts.

Here’s how you can start using AI in sales using Lindy:

Step 1: Pick one really annoying sales task where Lindy can help.

Where is your team bleeding the most time or struggling the most with administrative work? This could be:

• CRM Updates & Admin: This is a classic time-sink. Reps manually logging call notes, updating deal stages, scheduling follow-ups. Lindy can automate this.
• Post-Meeting Summaries: Sales calls generate a lot of information. Manually creating summaries and action items is tedious. Lindy can transcribe and summarize.
• Personalized Follow-up Emails: Crafting unique, context-rich follow-ups after meetings. Lindy can draft these.
• Data Entry/Research: Pulling specific data points from emails or documents into a CRM. Lindy can extract and input.

Focus on the biggest admin pain point first for the quickest win.

Step 2: Start using Lindy for that task.

Lindy is designed to be intuitive and adaptable. Set up a workflow for that specific pain point.

For CRM Updates:

1. Connect Lindy: Integrate Lindy with your email client (Gmail, Outlook) and your CRM (e.g., Salesforce, HubSpot) if direct integrations are available, or via tools like Zapier for more complex workflows.
2. Train Lindy for Tasks: Provide Lindy with clear instructions on what to do. For example: "When I finish a call and say 'Lindy, update CRM,' listen for key details like deal stage, next steps, and customer sentiment. Then, update the corresponding record in Salesforce."
3. Define Inputs: Teach Lindy what information to look for in your conversations or emails (e.g., "Find the agreed-upon next meeting time," "Identify any budget concerns mentioned").

For Post-Meeting Summaries:

1. Provide Call Context: If you record calls (with consent), feed transcripts or even just your notes to Lindy.
2. Instruct on Summary Format: Tell Lindy, "Summarize this meeting. Include key decisions, action items, who is responsible, and the next scheduled touchpoint."

For Personalized Follow-up Emails:

1. Give Meeting Notes: Provide Lindy with notes from a call or the transcript.
2. Define Email Goal: Instruct Lindy: "Draft a follow-up email to [Prospect Name] after our call about [Topic]. Emphasize [Key Benefit] and suggest a next meeting by [Date]."

Lindy's power lies in its adaptability. By clearly defining the task and providing examples or context, you 'train' it to perform exactly as needed for your unique sales process. Start with a specific "Lindy command" or trigger for your chosen task.

Step 3: Define clear, measurable metrics to track success.

How will you know if Lindy is working? Before you start, decide what success looks like.

1. For CRM Updates: Track the percentage reduction in manual data entry errors, percentage improvement in CRM data accuracy, or average time saved per rep per day on admin.
2. For Call Notes: Measure the percentage decrease in time spent on post-call administration.
3. For Lead Enrichment: Look at the percentage decrease in time spent manually researching leads. These metrics provide concrete evidence of Lindy's value, helping you justify continued investment and show ROI to your leadership.

Step 4: Train your team and establish a regular review cadence.

Lindy is powerful, but your team needs to learn how to best leverage it. Don't just plug it in and hope for the best.

1. Provide thorough training on how to use Lindy for the chosen task. Show them how easy it is to set up a new command or refine an existing one.
2. Encourage experimentation and collect feedback from your reps on how Lindy can be even more helpful in their day-to-day.
3. Schedule weekly or bi-weekly review sessions to discuss what's working, what's not, and how to improve Lindy's workflows. This continuous feedback and optimization are essential for maximizing Lindy's value and ensuring your team fully adopts it.

Close More Deals Faster with Lindy

If your sales team is still stuck doing manual data entry, writing cold emails from scratch, or chasing unqualified leads, you’re behind.

Lindy helps you fix that.

It’s not just another AI tool, it’s a trained assistant that:

• Enriches leads, writes personalized outreach, and generates follow-ups instantly
• Updates your CRM without you touching a single field
• Summarizes meetings, flags deal risks, and triggers next steps
• Works across your entire sales workflow, from prospecting to post-sale

If you’re serious about selling more and wasting less time…

Get started with Lindy for free!

Frequently Asked Questions

1. How to use Lindy AI?

Lindy AI works like a sales assistant. You can train it to enrich leads, write cold emails, summarize calls, auto-update your CRM, and flag deal risks. Just connect it to your tools and define tasks using natural language. It works across the entire sales process, from prospecting to post-sale follow-ups.

2. How does AI assist in lead qualification?

AI helps qualify leads by analyzing key attributes like job title, company size, engagement level, and behavioral data. It ranks prospects based on likelihood to convert, saving reps time and ensuring they focus on high-intent leads. This boosts conversion rates and reduces wasted effort on low-fit contacts.

3. How to get into AI sales?

Start by learning how AI tools solve business problems, especially in automation, data enrichment, and personalization. Gain experience with platforms like Lindy, Gong, or Clari. Then, apply to SaaS sales roles at AI companies or become a sales consultant specializing in AI adoption for B2B teams.

4. How to qualify sales leads with AI?

Use AI to analyze signals like website visits, email engagement, job titles, tech stack, and firmographics. Tools like Clay or Lindy score each lead based on your ICP. AI continuously improves this scoring over time, helping reps prioritize outreach to those most likely to convert.

5. How to use AI for lead generation?

AI speeds up lead generation by finding and enriching contacts that match your ICP. Tools like Apollo or Lindy pull relevant data from public sources, filter by criteria, and generate ready-to-contact lists. Some tools also trigger outreach automatically, helping you build pipelines without manual effort.

6. How to use AI for sales prospecting?

Use AI to identify decision-makers, pull company data, and personalize messages. Platforms like Lindy can auto-generate emails based on LinkedIn bios or recent company news. AI saves hours of research by surfacing the right people, with the right context, at the right time.

7. What automatically tracks all the steps in the sales process?

CRM-integrated AI tools like Lindy, HubSpot AI, or Salesforce Einstein automatically track sales activities. They log calls, update deal stages, assign follow-up tasks, and even summarize meetings, keeping your pipeline clean and up to date without manual input from your reps.

8. What's the top AI sales app for increasing leads?

Lindy is one of the top AI sales apps for increasing leads. It enriches contacts, automates outreach, qualifies leads, and handles CRM updates. Its customizable workflows let you scale outbound without adding more headcount, making it ideal for growing teams and solo founders.

9. How do I train Lindy to follow my sales playbook?

You can give Lindy simple instructions using natural language. For example, “When a call ends, summarize it in this format: key points, objections, next steps.” You can also provide sample conversations, emails, or CRM entries to show how your team works, Lindy will adapt to match your process.

10. Can Lindy integrate with tools I already use?

Yes. Lindy integrates with CRMs like Salesforce and HubSpot, calendars, email clients, meeting platforms, and tools like Zapier. This allows it to plug into your stack without requiring major changes. You can trigger workflows, update fields, or schedule tasks across platforms automatically.

11. What’s the difference between Lindy and basic AI chatbots?

Unlike generic chatbots, Lindy is an AI agent that executes real tasks. It doesn’t just reply, it enriches leads, summarizes calls, drafts follow-ups, and updates systems. You can train it like a junior team member to handle entire workflows across your sales cycle.

12. Can Lindy help with B2B enterprise sales workflows?

Absolutely. Lindy works well in B2B sales where deal cycles are long and require deep personalization. It can assist with multi-touch follow-ups, track deal engagement, generate executive-ready updates, and help manage multi-stakeholder outreach, all while syncing with enterprise CRMs.

13. How do I scale Lindy across a sales team?

Start by training Lindy on one rep’s workflow, then clone or customize those instructions for other team members. You can also create shared commands (e.g., “Summarize QBR notes,” “Draft post-demo email”) to keep processes consistent across the team while giving each rep personalized support.