Despite all the tools at their disposal, sales reps still spend most of their time doing anything but selling. Manual data entry and other administrative tasks, like pipeline management, take up a significant portion of a rep’s day.
AI-driven sales tools tackle that pain point, reducing busywork by automating tasks like follow-ups and data maintenance. As such, AI now plays an essential role in many organizations' sales workflows. Here’s how it works.
Why teams should be adopting AI in sales
Using AI in sales is the new normal. If teams haven’t already adopted AI, they’re planning on doing so soon. And to keep up with the market demand, even legacy CRM platforms, like Salesforce and HubSpot, have added AI agents or fully-agentic AI workflows.
With the right AI-powered tools, sales teams can see some serious benefits:
- More selling time: More than half of a rep’s week goes to creating quotes, planning sales calls, and entering data manually. AI automation of routine tasks gives them their selling time back.
- Cleaner data: Manual data entry creates errors and inaccuracies. Not only can AI correct these mistakes, but it can also help clean up existing data so that the tool is always pulling on accurate information.
- Faster deal velocity: AI helps sales reps prep their calls, gives them actionable follow-up steps, and surfaces the data they need when they need it.
- Better forecasting: With AI, even sales teams without dedicated analysts can turn CRM data into reliable forecasts. LLMs understand trends in historical sales data and model predictions or make recommendations on how to improve selling tactics and workflows.
- Less tool sprawl: Companies use an average of 106 SaaS apps. A multifaceted AI platform allows your team to combine dozens of tools into one.
- Smoother onboarding: AI copilots guide fresh reps through existing sales processes, speeding up onboarding and reducing the new hire’s dependency on SME availability for training.
12 proven ways to use AI in your sales process
Not every sales team will use AI in all the ways listed below. Instead, your team will leverage these tools to solve the biggest bottlenecks impacting your workflow. Here are twelve ways you can potentially benefit from AI-powered tools.
1. Automate prospecting and account research
Manually identifying leads and finding their content information is a massive timesink. AI can automatically enrich records with job titles, company details, and funding history, significantly cutting down the time between initial identification and outreach. Some tools perform enrichment with a single click from a browser extension, while AI-native CRMs do it automatically.
Clarify customer Taxwire used to rely on Apollo for prospect research and enrichment. When they switched to Clarify, they saved up to 12 hours and $300 a month with built-in contact enrichment.
2. Score and prioritize leads with predictive AI
Small teams need to aggressively prioritize opportunities based on how likely they are to convert. Predictive models, powered by AI, can turn behavioral signals (i.e., email engagement, product usage, meeting frequency) into a scoring system that allows you to quickly spot viable leads.
Most CRMs don’t lead score natively. This meant that companies like Searcheye had to leverage tools like HubSpot, Intercom, and their email inboxes for prioritization tasks. But after switching to Clarify, Searcheye CEO Chris Porteous gained access to a dashboard that showed every recent communication thread with prospects across all channels: “Seeing companies by last interaction is something I didn't know I needed until now.”
3. Draft personalized outreach emails and messages
Email outreach involves personalizing messaging, referencing past conversations, and handling potential objections—all of which takes time. And you need to get emails out quickly. Generative AI speeds up the process by automatically pulling relevant context and mirroring your voice in customized outreach at scale.
Pocketflows Co-founder Lucy Wang used to struggle to navigate customer outreach spreadsheets. With Clarify’s AI-native automated messaging, she can scale customer relationships without losing her personal touch.
4. Automate CRM data entry and pipeline updates
AI can eliminate most of sales reps’ data entry work. While some AI tools might only suggest changes to records that need human validation, an autonomous CRM automatically updates relevant records based on emails, calls, and calendar events. Some CRMs can even autonomously self-configure to respond to emerging data trends as you sell.
The sales team at Sift had a full-time Salesforce admin on staff and was still dealing with unreliable data. After two weeks using Clarify, CEO Karthik Gollapudi said: “Now our team barely touches admin work.” MEDDIC deal qualification, custom fields, and automated Stack alerts gave them 100% clean data, all without a dedicated admin.
See how Clarify automates more than 90% of CRM data entry without manual input.
5. Summarize sales calls and extract action items
You’re already using tools to record your calls, but transcripts may be locked in those tools and not always as thorough as you’d like. AI sales tools know what data to capture, extract, and turn into tasks—like action items, commitments, and next steps from conversations—ensuring that lead information never falls through the cracks.
Startup Ravenna wanted full transparency into every interaction, from those with customer success agents to investors. Clarify’s integrated video recording repository made gathering this information possible. According to Founder Kevin Coleman: “Having all of our customer orchestration running through [Clarify]—from demo scheduling to video calls to process tracking—that’s just gold.”
6. Improve sales forecasting with predictive analytics
AI turns conversation signals, deal velocity, and engagement patterns into clear trends that validate your strategy and fuel your next pivot.
Sift’s Head of GTM Operations, Ivan Gaal, built an automated notification workflow with Clarify’s AI-native platform that alerted the team in Slack when critical deal fields weren’t updated. This shifted forecast reviews from reactive to proactive, giving the team visibility into deals that needed attention.
7. Deploy AI chatbots for 24/7 lead qualification
Chatbots are rapidly becoming an essential tool for customer success teams, fielding questions and either handling them autonomously or escalating them to human support reps. Sales can use chatbots in much the same way, qualifying inbound leads outside work hours, routing prospects to the right rep, and booking meetings automatically.
These chatbots often integrate directly into your CRM and other tools, giving reps full context before every call and handing off leads seamlessly.
8. Coach sales reps with AI roleplay and call analysis
AI accelerates onboarding for new reps and improves win rates for experienced ones through one-on-one coaching that a small team might not otherwise be able to provide. AI analyzes recorded calls to identify objections, detects competitor mentions, and calculates talk-to-listen ratios. It also simulate sconversations with prospects, allowing reps to roleplay difficult situations.
9. Auto-detect and create deals from communication patterns
AI-native CRMs like Clarify automatically identify new opportunities in emails and calendar meetings, turning them into deals in your CRM without any manual effort from a sales rep.
WasteNot’s Founder & CEO uses Clarify to automatically make connections between a new contact’s email domain and an existing deal, automating “common-sense workflows that have long gone overlooked in this space.”
10. Generate meeting prep briefs before every call
AI saves sales teams meeting planning time by pulling information from CRM records and conversations to prep with.
Sift uses Clarify’s meeting prep summaries to engage new contacts at accounts they’ve already deeply researched, giving every rep instant context on deal history and company news before a call.
11. Consolidate your GTM tool stack into a single platform
Sales data is scattered across sprawling tool stacks, causing many teams to prioritize consolidation. An all-in-one AI tool centralizes functions from multiple tools into the platform your salespeople most rely on: your CRM.
Companies like Ravenna, Taxwire, and Paramark have all replaced multiple tools with Clarify’s autonomous CRM. Volca’s Brendan Kazanjian called Clarify “the only tool we need.”
12. Monitor deal health with proactive alerts
Getting full visibility on your pipeline so you can act on stalled opportunities usually takes multiple meetings and dense reports. AI can automatically identify these opportunities and alert your reps to move on deals.
For Sift, that means getting automated alerts in Slack when deal fields aren’t updated for a while. Opportunities are surfaced in real-time rather than waiting for a manager to stumble on them in a pipeline review.
How to implement AI in your sales strategy: Step-by-step guide
Ready to start using AI in sales? Here’s a quick step-by-step guide to implementing AI in your strategy.
- Step 1: Audit your current workflow. To know where you need AI most, you must find out where your reps are spending most of their non-selling time. Identify the two or three highest points of friction, like data entry, meeting follow-ups, or prospecting research.
- Step 2: Define success metrics. Set KPIs and benchmarks to measure where AI has the most impact. Popular metrics include hours saved per rep per week, pipeline update frequency, follow-up response time, and forecast accuracy. If you spot a drop-off in a KPI, this signals the need for a process improvement.
- Step 3: Start with one high-impact use case. While it’s tempting to immediately deploy AI across every stage of your deal pipeline, it’s best to pick one use case. Start with the most significant friction point and deploy AI there, aiming for visible time savings within the first week.
- Step 4: Choose tools that work autonomously. Prioritize tools that tick off tasks without constant prompting. Clarify’s autonomous CRM requires zero human input to run a series of routine flows.
- Step 5: Integrate with your existing stack. Choose an AI solution that connects to email, calendars, video conferencing, and other everyday tools. Your new AI-driven platform won’t be able to pull data from these sources without functional integrations. Test all connections when you deploy your tool of choice.
- Step 6: Review, adjust, expand. Expect to see some impact within a week or two, and much better data after a month. Review KPIs, get feedback from your sales reps, and adjust your approach as needed. If you’re seeing a net improvement, try expanding to other use cases.
Clarify gives you an autonomous, enterprise-grade CRM without the lengthy deployment or expensive admins. Start using Clarify for free.
FAQ: How to use AI in sales
How is AI used in sales today?
AI can be used to automate prospecting and CRM data entry, generate outreach emails and other communication, as well as handle lead scoring and forecasting. Some tools require that you manually prompt and train them to do these tasks, while autonomous CRMs handle them out of the box.
Will AI replace salespeople?
AI is changing the way sales teams work rather than replacing them. Repetitive tasks, from data entry to email outreach, are increasingly automated, allowing sales reps to dedicate more time to work that requires human judgment (i.e., building trust or navigating complex objections). The goal of using AI in sales is to help reps close deals, not to shrink headcount.
How do I use AI for sales prospecting?
AI tools can automatically enrich contact records with company data, funding history, and job titles. An autonomous CRM can also identify and score potential prospects, as well as generate outreach sequences.
What’s the difference between AI copilots and autonomous AI in sales?
A copilot is an assistant that helps with tasks when prompted and suggests next
steps. Autonomous AI is a hands-free infrastructure that runs in the background of your CRM, updating records, drafting follow-ups, or flagging stalled deals.
How much does AI for sales cost?
The cost can vary depending on the type and scope of the tool. Many legacy CRMs (e.g., Salesforce, HubSpot) added AI features to their platform, and you pay an additional subscription to access them. Autonomous CRMs like Clarify use credit-based pricing, meaning you pay for the value you get from the tool—not by feature or user.
How long does it take to implement AI in a sales process?
A legacy or enterprise platform can take weeks to months to deploy, often requiring significant technical support. AI-native CRMs designed for smaller teams, like Clarify, can be implemented in a day, driving immediate results. Sift had clear, actionable data within two weeks.
Can AI help with sales and marketing alignment?
AI tools centralize marketing signals (i.e., email campaigns, event data) and sales data (i.e., intent signals, company data) in your CRM, giving you a single, shared view of the customer journey. This improves lead quality and reduces handoff friction.