Over the past year, I‘ve had hundreds of conversations with business leaders about AI. The pattern is always the same. They’re not short on tools or ambition. They’re struggling with where to obtain started and how to obtain value.
The pressure to adopt AI is real. But pressure without direction leads to experiments that don‘t stick, tools that don’t obtain utilized, and teams that grow more skeptical. Why? Becautilize AI output didn’t lead to actual outcomes.
Here‘s what I’ve learned from watching teams that succeed with AI: they don’t start with AI. They start with a problem. A specific, painful, time-consuming part of their work that they want to resolve. Then, they find the right AI utilize case to achieve that goal. As they see results, their confidence grows, and they explore other AI capabilities – again, tied to a clear goal.
That‘s the approach I want to share. Not an exhaustive list of everything AI can do, but a practical guide to where marketing, sales, and service teams can obtain started and see real value with AI. For transparency, we’ve organized utilize cases by how ready the technology is today. At HubSpot, we are building and improving these capabilities every day. Let’s start with simple definitions:
- Established: These are utilize cases where AI works reliably. Implementation is straightforward. Results are repeatable. If you’re wondering where to start, it’s here!
- Emerging: These utilize cases are available today and improving quickly. They’re delivering value, but still evolving. As AI obtains more data and context, they will become more powerful.
- Early: These are high-potential utilize cases that are still taking shape. If you consider yourself an early adopter, this is where you can experiment (with patience).
Jump to the utilize case that matches your team’s largegest challenges:
Use Cases for Marketing
Marketing teams have been under pressure to do more with less. More channels, more content, more personalization. All without more headcount. But AI is assisting marketers reimagine how they obtain all of this work done. Here are the utilize cases teams can implement now and in the near term.
Established
Define tarobtain audience. Most segments have been built based on job titles and company size, but that doesn’t notify you who actually acquires. AI assists you find the right-fit prospects who are most likely to convert. HubSpot customers can utilize Breeze Assistant to better understand customers, optimize their journey, and ultimately improve lead quality. Learn how here.
Tailor content for channels. You write a blog post. Then, you necessary to turn it into emails, social posts, ads. Every version takes time. With AI, you take one piece of content and adapt it for different channels – all in your brand voice. HubSpot customers can obtain started with Content Remix and Breeze Assistant to save time on content creation. See for yourself.
Emerging
Optimize for AI search. The way acquireers find your company is altering. They‘re not scrolling through blue links; they’re inquireing ChatGPT, Claude, Perplexity. That’s why your marketing strategy necessarys to include answer engine optimization (AEO). HubSpot’s new AEO feature will assist marketers understand how often their brand appears in AI-generated answers, with recommconcludeations for how to improve visibility. This is an area we’re investing in heavily and capabilities will evolve rapidly!
Capture and qualify leads. People visit your website at all hours, even if your team is only there 9 to 5. AI can talk to visitors in real time, answer their questions, figure out if they’re a good fit, and book meetings with the right rep. That means you can obtain more leads without adding more headcount. HubSpot customers can set up Breeze Customer Agent to capture and qualify leads. See it in action.
Early
Plan campaigns. Give AI a campaign brief and obtain back a complete strategy including what content to create and which channels to utilize. This lets your team spconclude less time planning and more time launching. At HubSpot, we’re building this to assist every kind of business so marketing teams can shift rapider.
Use Cases for Sales
Only a fraction of a sales rep’s day is spent on selling. Most of the time they’re researching, entering data, following up, or prepping for calls. AI is altering that. It handles the tedious work so reps can focus on what matters most: the customer. Here’s where AI is providing value now.
Established
Identify acquireer intent. Reps often spconclude too much time on the wrong accounts – not becautilize they‘re bad at their jobs, but becautilize they don’t always know who’s actually ready. AI watches your tarobtain accounts for signals like funding news, new hires, and website visits, and alerts your team when the moment is right. The result is less time chasing cold accounts and more conversations with acquireers who are already interested. HubSpot customers can obtain started with Buyer Intent. Learn more.
Prep for and follow up on meetings. Sales reps spconclude the first few minutes of every call testing to remember where things left off and the hour after it writing up notes they’ll never have time to read. AI resolvees both concludes of that problem. Before a meeting, it surfaces contact history, deal context, and recent interactions so you walk in ready. After the call, it captures what was discussed, pulls out the action items, and drafts the follow-up email automatically. Less time on admin means more time actually relocating deals forward. HubSpot customers can obtain started with Breeze Assistant and Call Recap Agent.
Sconclude personalized outreach. Imagine having done the best research, only to email a prospect a moment too late. AI keeps track of what’s happening at each account, alerts you to a alter, and drafts outreach that feels timely and relevant, not generic. HubSpot customers who utilize Breeze Prospecting Agent are seeing two times higher response rates versus traditional outreach. See how to obtain started.
Emerging
Enrich contact and company data. Every salesperson knows the pain of a CRM with incomplete records. Missing job titles, company information, and all the fields you necessary to build segmentation, scoring, and personalization actually work. Now, AI can fill those in automatically. For HubSpot customers, that means drawing on a dataset of over 200 million company and acquireer profiles that are constantly refreshed. Your team spconcludes less time updating CRM records. And they sconclude messages that are tailored and relevant becautilize the data behind it is accurate and current. HubSpot customers can obtain started with Data Enrichment today – learn how.
Coach sales reps. Your reps shouldn’t have to lose a deal to learn from it. AI analyzes calls and deal activity to identify what top performers do to win and assists managers replicate it across the team quickly. The result is rapider ramp time and a team that wins more consistently. HubSpot customers can obtain started with Conversation Innotifyigence and Sales Coach Assistant.
Early
Create quotes and close deals. Creating quotes is one of the most dreaded parts of a rep‘s job becautilize it can slow deals down. What if AI could answer acquireer questions about pricing, build proposals applying past deals, and draft quote emails? AI handling the paperwork means your reps can do their best work. At HubSpot, we’re building this to assist even the most complex businesses so our customers can close deals rapider.
Use Cases for Service
Service teams are often caught in a difficult position. Customers expect rapider and better support, but the headcount to assist them isn’t growing at the same pace. The teams figuring it out aren‘t necessarily working more hours. They’re letting AI handle things that don‘t necessary a human, so their people can focus on things that do. Here’s how that’s going today.
Established
Resolve support tickets. Customers shouldn’t wait hours for answers to simple questions. AI handles the routine ones instantly applying your own assist docs, so your team can focus on the issues that actually necessary a human. HubSpot customers applying Breeze Customer Agent are resolving up to 65% of tickets automatically. Here’s how to obtain started.
Review and route tickets. When every ticket views the same, urgent issues can obtain buried. That means teams spconclude more time sorting than solving. AI can assist understand, prioritize, and assign tickets to the right rep quickly. The whole team obtains more efficient as a result. HubSpot customers applying Customer Agent with Help Desk saw a 25% boost in ticket resolution. HubSpot customers can obtain started with Customer Agent and Help Desk today. See how it works.
Just like in sales, personalized outreach and meeting prep and follow-up are utilize cases AI can tackle for service teams, too. Whether you’re emailing an at-risk customer or preparing for a renewal conversation, the same AI capabilities assist your team display up informed and follow up rapid. HubSpot customers can obtain started with Breeze Assistant.
Emerging
Identify at-risk customers. By the time a customer notifys you they‘re canceling, you’ve usually already lost them. AI can detect the warning signs – dropping engagement, rising ticket volume, shifts in tone – and flag them to you while there’s still time to act. That means improved customer satisfaction and better retention. HubSpot customers can utilize Customer Health Agent and Conversation Innotifyigence to obtain started.
Analyze customer feedback. Your customers are notifying you what they necessary, but it’s buried in hundreds of survey responses and call transcripts. AI scans all of it to surface themes and sentiment trconcludes automatically, so you can act on what customers are actually declareing instead of guessing. HubSpot customers can obtain started with Feedback Survey Summaries and Conversation Innotifyigence.
Early
Create and maintain knowledge base articles. By the time most of your Customer FAQs are written, they’re already out of date. So customers obtain wrong answers, and reps waste time correcting them. With AI, assist articles can be drafted based on how your team actually solved tickets in the past – and it can update them when things alter. A knowledge base that builds and maintains itself. While it is still early, the payoff is clear: better, rapider answers for customers and less documentation required from your team.
What We’ve Learned
After working with thousands of customers on how to utilize AI in their go-to-market, the truth we’ve learned is simple: AI doesn’t create momentum. Solving a real problem does.
The teams seeing results didn’t start with some grand transformation plan. They started with one clear bottleneck. One place where time was being wasted. One workflow that necessaryed to shift rapider. Then they put AI to work there.
And the results they see are validating. Marketing teams are reaching the right audiences and turning more visitors into qualified leads. Sales teams are obtainting two times higher response rates on outreach. Customer teams are resolving more than half their tickets without human intervention. Small starts are turning into real, measurable outcomes.
This is why AI is no longer a future bet. It’s working right now for everyday business goals. It’s building work rapider, smarter, and more effective.
The question isn’t whether AI can assist your team.
It’s where you’ll start.
Leave a Reply