5 Must-Know Examples of AI in Sales to Close More Deals

In sales, every second matters.

The faster you go through the manual tasks, the more you can focus on what really counts. And this is what makes AI into a valuable asset.

But AI is also all over the place. A plethora of tools hit the market in 2024 and it's not easy to sort what's useful from what's simply a trend.

In an effort to make 2025 a year of focus, we'll cut through the clutter and narrow down the use of AI for sales into 5 main categories.

1. AI in Sales Prospecting

Personalized outreach can make or break a sales strategy. While personalizing a message is not a difficult endeavor in itself, it can't be manually handled at scale. Generative AI tools create tailored emails, messages, and campaigns that resonate with individual prospects, increasing engagement and conversion rates.

Suggested tool: lemlist

lemlist is a sales engagement platform specializing in hyper-personalized cold emails. With dynamic images, video messages, and customized sequences, it breaks through crowded inboxes — and it plugs into lemwarm for deliverability and lemcal for personalized booking.

2. AI in Lead Scoring

Lead scoring can be done manually, but it's resource-intensive and time-consuming. AI is very efficient at analyzing large datasets — behavioral patterns, demographic information, past interactions — to determine a lead's readiness to buy. You get to focus on prospects who are statistically more likely to convert.

Suggested tool: Madkudu

Madkudu uses machine learning to score B2B leads on firmographic, demographic and behavioral data, then groups them into Hot/Medium/Cold to simplify targeting.

3. AI in Sales Forecasting

Forecasting is one of the most challenging aspects of sales management. AI tools analyze past performance and identify patterns that help estimate future sales — taking the guesswork out and reducing the risk of over- or underestimating performance.

Suggested tool: Modjo

Modjo captures and analyzes all your sales interactions — calls, emails, meetings — surfaces risks in deals and suggests next best actions.

4. AI in Sales Call Recording and Summary

Sales calls are a goldmine, but transcribing and summarizing them manually is a drain. AI phone systems take over these tasks and hand back actionable insights.

Suggested tool: Allô

Allô records and transcribes calls, generates AI summaries, and highlights the parts that matter for the next follow-up — especially useful for field teams away from a laptop.

5. AI in Sales Coaching

Managers review less than 1% of all sales calls due to lack of time. AI-driven coaching tools analyze recordings and pinpoint strengths, weaknesses, and areas for improvement so reps get feedback that would otherwise never land.

Suggested tool: Gong

Gong evaluates sales calls and delivers targeted coaching to individual reps — surfacing top-performing techniques and missed opportunities across the team.

Key takeaways

Yes, there seems to be an AI tool for everything these days. But these five processes are no trivial part of a sales strategy — your team probably wouldn't close as many deals without them, and they eat a significant chunk of a salesperson's time.

AI helps here in two ways: it automates and speeds things up, and it brings more accuracy and objectivity so salespeople act on existing data rather than gut. Still going through these tasks by yourself in 2025? Time to give AI a try.