Generative AI for sales teams: top use cases

The advent of generative AI has led to huge shifts in sales departments across the globe, with teams getting access to incredible new tools that help to boost efficiency, profits and skillsets. 

In this article, we’ll take a look at some of the exciting new developments in AI capabilities, as well as some of the top use cases for sales teams that want to adopt and embrace generative AI in 2025.

But first, let's look at general adoption rates amongst sales teams.

Are sales teams readily embracing AI?

Sales teams are readily embracing AI, with HubSpot's State of AI Report revealing that more than 40 per cent of the profession are already using AI within their work, and 76 per cent expecting to use some form of AI to assist them in optimizing their workload over the next five years.  

How does Generative AI help sales teams?

Before we go over some of the top use cases for generative AI in 2025, let’s quickly run through some of the basic benefits that the technology provides.

Picking up admin tasks

Some of the simplest, yet most useful, tasks that generative AI can perform are administrative ones. Various types of generative AI models can take care of many of the mundane tasks that are essential for day-to-day operations, such as data entry, logging contact information, and creating records of client conversations.

At the end of the day, the less time that your sales teams have to spend on routine admin work, the longer they can spend chasing down leads and closing deals. In other words, businesses can focus on generating profits and creating an excellent customer experience - not the repetitive, low-value work that proves distracting.

Script-writing

Generative AI is also useful for writing detailed scripts that can help sales teams to close more deals and present a more compelling case. This can be helpful for both generating new scripts and adapting templates for specific customers. By implementing personalization at scale and with ease, generative AI can create authentic scripts that will impress clients and help to secure sales.

By reducing the amount of time that sales teams have to spend creating new scripts for clients, departments have more time to spend on generating profits through sales.

Sentiment analysis

Similar to the script-writing capabilities of AI, sentiment analysis can help guide teams towards having better conversations with clients. Sentiment analysis can detect changes in the tone of written communications with clients, highlighting potential areas of concern so that sales teams can explain how their product or service can circumvent these issues.

This technology can be particularly useful in fast-paced sales environments, where large numbers of daily sales mean that teams sometimes find it difficult to home in on the finer details of every conversation. Sentiment analysis eliminates this issue, identifying the problem and enabling your sales teams to be as helpful as they possibly can.

What are some of the latest developments in AI for sales teams?

Generative AI for enterprise is developing at a staggering pace, with incredible new features and tools being announced every month. This can be hard to keep track of sometimes, so we’ll take a look at some of the new developments in AI that provide benefits to sales teams.

Advances in SLMs and LLMs

The script-writing and sentiment analysis capabilities that we discussed in the previous section are driven by both Large Language Models (LLMs) and Small Language Models (SLMs). These language models (differentiated by the size of their data pools) are what an AI tool uses when it looks to generate content.

Both LLMs and SLMs have experienced significant advances that enable them to create texts that sound more authentic than ever before. This is great for sales teams, who rely on authentic communications to close sales.

Predictive AI for sales figures

There have been advances in AI across the spectrum, and there are numerous predictive AI tools that can aid sales teams. Unlike generative AI, predictive AI looks to recognize patterns in data so that it can help with spotting trends, rather than generating new content.

By looking at sales data, predictive AI can help forecast project results, highlighting potential areas for profit and warding teams away from leads with a small chance of success.

Sales analytics in prospecting

Advances in the capabilities of predictive AI have also increased the prospecting potential of AI tools. Predictive AI can scan vast amounts of publicly accessible data to look for new clients, going far beyond existing methods such as cookie analytics and geographic locations.

These advances will help sales teams to find more profitable leads more consistently, greatly boosting profits and efficiency.

6 best use cases for generative AI in 2025

Now that we have gone over some of the basic functions and developments that sales teams can take advantage of at the moment, it's time to look at some specific use cases for 2025.

These generative AI functions will help sales teams that maximize tech adoption to generate better profits and more leads, enabling your department to reach its potential in the upcoming year.

1. Personalizing sales emails at scale

One of the biggest and most significant developments in generative AI for sales teams is the ability to personalize emails to prospects at scale, without jeopardizing tone or quality. 

This is an exciting development, since one of the biggest criticisms of mass email campaigns is that they generate low percentages of leads due to their generic messaging and content. 

By adopting generative AI technology, sales teams can develop mass email templates which are then personalized or segmented by AI before they are sent. These personalizations go far beyond the insertion of names, altering text based on geographic location, previous pain points, sales history and more.

The tools at sales teams’ disposal today are more powerful than they’ve ever been in terms of accuracy and attention to detail.

2. Creating coherent email sequences

Generative AI can also link several personalized emails together to form sophisticated email sequences for sales reps. These sequences use the data compiled about a customer throughout their previous interactions with sales teams to provide useful follow-up emails, reminders, promotional emails and updates.

Unlike automated sequence emails, AI sequences use the personalization features mentioned above to create a customized and tailored experience. As a result, customers are more likely to find these emails useful due to their authenticity, rather than irksome and clunky.

This will reflect well on your sales department, making them appear attentive and diligent rather than impersonal. And we all know those first impressions go a long way.

3. Note-taking during sales calls

Another top use case for AI in 2025 is the ability to automatically take notes during sales calls, without scrambling to transcribe the notes yourself. 

The first benefit of this is that it enables your employees to fully focus on the call and be present. This also means that employees can move straight on to their next task or call after a conversation has concluded, rather than losing crucial time to formatting and uploading notes.

But that’s not all. The note-taking capabilities of generative AI mean that you can also compile much better notes. AI doesn’t have to worry about quickly taking notes so that it can move on to the next task, so it can deliver far more detailed and comprehensive takeaways that then feed into other AI powered services like email sequencing. 

These notes will provide useful details on pain points, purchase history, sales team interaction history and more, providing the right tech solution for your team.

4. Assisting with objection handling

The objection handling capabilities of AI have seen significant improvements over the past year, providing a useful tool for sales reps that are dealing with customer issues in real-time. AI can access and analyze data on prior objections and suggest responses that can help to generate a positive outcome.

Sales reps can sometimes find themselves stressed or frustrated while dealing with challenges, and this can impair their ability to to craft a compelling response quickly.

Generative AI can make this process much easier for sales reps by providing them with solutions and advice that have worked for your business in the past.

5. Delivering real-time sales coaching

Alongside its script-writing potential,  generative AI can also create coaching resources that help sales teams to reach their full potential. One of the primary benefits of using AI for this role is that it can provide major cost benefits when compared with the use of external solutions.

Generative AI can use similar techniques to those used for note-taking during calls to analyze sales rep responses and provide constructive criticism to increase the quality of the next call. This means that sales reps can continuously learn on the job, rather than having to take time away from their role in order to learn and develop their skills in a traditional training session.

These takeaways can also be compiled so that team leaders have impressively detailed notes to take into meetings with reps individually. This means that the progress of sales reps can be easily tracked and assessed, so managers can provide their own input to grow departmental skills.

Training departments can also make use of these features, since they can quickly compile audio logs of pre-analyzed conversations into training resources. By enhancing the training capabilities of businesses at multiple levels, generative AI supercharges training programs and enhances employee skills throughout the company.

6. Aiding with contract review and negotiations

The final use case we’ll cover today delivers value later in the sales process, when your opportunity is about to put pen to paper and push your deal over the line.

Adopting a contract management platform like Juro can support you through tricky negotiations, with a legal AI assistant that can draft, review and summarize your sales agreements in a matter of seconds.

For example, sales reps can ask Juro’s legal AI assistant to redraft a clause within the contract in a way that complies with the contract playbooks submitted by their legal team.

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This AI lives in a workspace where contracts are managed end-to-end, with approval workflows, browser-based contract negotiation functionality, and more. This makes it easier and safer than ever for sales reps to self-serve on and progress their own contracts, with automated oversight from legal.

Final thoughts

Overall, there have been many advances in the realm of generative AI that place sales departments in good stead for 2025. By accessing better training, call scripts, note-taking and email personalization, sales departments that adopt generative AI tools can expect to see improvements in quality and profits.

More than anything, generative AI helps to make sales teams far more efficient, empowering employees with the tools that allow them to focus on that which they do best: generate sales and cultivate great client relationships.

Are you ready to maximise its potential in 2025?