AI has already changed how work gets done. ChatGPT for writing, Midjourney for design. Sales is next.
The right AI tool takes admin off your reps’ plate, like qualifying leads, and hands them the insights that matter before a call by pulling data from scattered sources into one place. The point is to free reps to do the one thing only they can: sell.
If you’re weighing up a sales AI tool, this is the guide. It covers what to look for across usability, functionality, and support, so you pick a tool that fits your process instead of fighting it.
Let’s get into it.
7 Things to Look for When Choosing a Sales AI Tool
- An intuitive platform
In sales, time is money, and the right tool saves both. A good sales AI tool should feel like a good conversation: easy and informative.
Pick a platform your team can use inside their existing process without a training course to get going.
What does that look like in practice?
It should put the essentials within reach: notes from previous calls, background on the company you’re selling to. It should plug into the rest of your stack, the CRM, your social accounts, and data platforms like Crunchbase.
And the interface should be simple enough that reps barely need training.
Take Airspeed’s AI sales copilot. It surfaces the information reps need, connects to the stack they already run, and does the pre-call prep for them.
The result: sales teams spend 34% less time on low-value busywork.
- Valuable use cases
AI in sales is having a moment, but that is no reason to buy a tool just because everyone else has one.
Work backward instead. List the tasks your team spends the most time on, find the lowest-value ones, and look for AI that can take them off the board. Solve a real problem, not a trend.
For example, you might want a tool that helps reps spend 20% less time preparing for a call, that automatically qualifies leads so the team knows which accounts to chase, and that gives at-a-glance deal insights.
Be specific about which jobs you want the tool to help with, or own outright. Then match the tool to those jobs.
- Integrations with the rest of your tech stack
A sales AI tool can’t live on an island. It has to fit the stack you already run, like a piece that completes the picture rather than one you have to force in.
Good integration means data moves between systems on its own, whether that is a CRM like Hubspot, an insights provider like Crunchbase, an email platform like Mailchimp, or another sales tool.
When everything stays in sync, you get one current view of what is happening across your deals. Favor tools that make the whole stack work harder, not just themselves.
- A knowledgeable, experienced product team
AI has exploded in popularity over the last few years, with the industry growing at a compound annual growth rate (CAGR) of 32.5%. There are more AI sales tools than ever, and they are not all equally good.
The team behind the tool matters as much as the tool. Look at the founders. Have they built hard things before? Have they shipped at companies you would trust?
For instance, Airspeed’s founders have worked with giants like Google DeepMind, Apple, and Spotify. The product carries that experience and a habit of solving the user’s actual problem.
- Impressive case studies
Case studies show whether a tool does what it claims. They are the proof that it changed another team’s results.
Look for ones that name a specific situation: the problem the team faced, what the tool did about it, and the measurable outcome.
Stories like that tell you what the tool can do and where it tends to fit.
That said, a tool that just launched may not have case studies yet. If so, ask for a trial or a demo so you can see it run for yourself.
6. Robust cybersecurity measures
With the average data breach costing an eye-watering $4.45 million, your sales AI tool has to take security seriously. Lose customer data and you lose both revenue and trust.
Look for tools that show their work on security, like those that demonstrate it publicly: SOC 2 Type II, GDPR, strong encryption, and restricted access.
Pick a tool that clears that bar and your prospects’ and customers’ data stays safe.
7. On-demand support
When something breaks, or a rep can’t work out a feature, you need help fast. Look for these in a support offering.
- Availability: 24/7 cover, so help is there whatever the time zone, which matters for global teams.
- Response time: the faster the team replies, the less selling time you lose.
- Expertise: support that knows the product deeply gives you real answers, not generic ones.
- Training resources: good docs and guides get you started and help you master the tool.
- Community support: an active user community is a fast way to swap best practices and fixes.
- Customized assistance: support, and sometimes pricing, shaped to your needs gets you more from the tool.
Final Thoughts
The right sales AI tool depends on your org, your team’s needs, and your budget.
In general, it should be intuitive and add real value. It should fit your existing stack, come from a team with a track record, treat security as non-negotiable, and back you with responsive support.
Get those right and you hand your team a tool that helps them sell more with less hassle.
Above all, judge each feature on how it lifts the whole sales process. A good tool does not just slot into your workflow; it makes it better.
Looking to get started with sales AI? Book a demo to learn how Airspeed makes sales teams more efficient and effective.
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