AI sales tools: which one fits each stage of the sales process

A lead comes in through the website form on a Friday at seven in the evening, nobody sees it until Monday, and by Monday they have already asked two other companies for a quote. Almost every AI sales tool on the market today promises to close that gap, each from a different point in the process, which is why comparing them as a single group doesn’t help much. A CRM with an assistant, a WhatsApp bot and a meeting recorder solve different problems, cost different amounts and take very different amounts of effort to roll out.

We also explain when it isn’t worth it, a question that comparisons written by the vendors themselves tend to skip.

What you can automate in a sale, from the first reply to the close

Think about how a typical sale unfolds in an SME. Someone lands on the website or messages you on WhatsApp, someone on the team replies, they’re asked three or four questions to see if they’re a fit, a call is booked, a proposal is sent, the reply is chased and, with luck, the deal closes. Every one of those steps involves repetitive work, and that’s where AI comes in with the least friction.

The first reply and qualification are the easiest parts to automate. An assistant can answer at any hour, ask about budget, timeline or company size, and pass only the qualified contacts on to the salesperson. The same goes for scheduling, because AI can offer open calendar slots without anyone stepping in.

Further down the funnel, AI is used for something else. It summarizes calls and logs them in the CRM, drafts the follow-up email based on what was said in the meeting, flags deals that have gone days without activity and estimates which opportunities are most likely to close. The close itself, the negotiation and the relationship with the customer still belong to a person, and for higher-value sales it’s best to keep it that way.

Each category covers a different stretch of the sale, and not all of them suit an SME

Category	Tools	Starting price	Best for
CRM AI	HubSpot, Pipedrive, Zoho, Salesforce	HubSpot Starter €7/user/month (annual); Agentforce $125/user/month	Teams that already have a CRM; Salesforce, large teams only
WhatsApp assistant	respond.io	$79/month; with AI agents, $159, plus Meta’s fees	Businesses with lots of inbound inquiries
Outbound prospecting	Apollo.io, HubSpot agent	Free plan and monthly credits	Teams that go out looking for customers
Meetings	tl;dv, Gong	tl;dv free, Pro €18, Business €29; Gong has no public pricing	tl;dv, SMEs; Gong, dozens of salespeople
Writing	ChatGPT Business, Gemini	ChatGPT $20/user/month (annual); Gemini included in Workspace	Any salesperson

The AI already built into your CRM: HubSpot, Pipedrive, Zoho and Salesforce

If you already have a CRM, our advice is to check what AI it includes before paying for another tool. The big four have all added AI features to their products, but they place them in very different plans.

HubSpot’s paid Sales Hub plans include a set of AI agents: a prospecting agent that researches leads and prepares messages, a customer agent that replies via chat, email or forms, and a data agent that updates CRM records. They run on monthly credits included in each plan, which you can top up for a fee. The Starter plan starts at €7 per user per month billed annually, Professional at €90, and the latter requires a one-time onboarding fee of $1,500.

Pipedrive has an AI sales assistant that drafts and summarizes emails, writes a summary of each deal, calculates the probability of winning it and flags deals with no scheduled activity. It’s the CRM built for small teams that sell through a pipeline, and its AI follows the same approach: practical, with little setup.

Zoho CRM has Zia, its assistant with predictions and recommendations, but only in the Enterprise and Ultimate editions. If you’re on an entry-level plan, getting the AI means upgrading. Salesforce works in a similar but pricier way: its small business suites (Starter Suite, from $25 per user per month, and Pro Suite, from $100) sell AI as a separate add-on, and Agentforce for sales is licensed from $125 per user per month. Salesforce suits companies with a large sales team and someone to administer it. For an SME with five salespeople, in our view, it’s overkill.

WhatsApp assistants that reply, qualify and book meetings after hours

For many Spanish SMEs, WhatsApp is the real sales channel, and that’s where an AI assistant makes a difference first. It replies in seconds, asks the qualifying questions you’ve set up, checks availability and books appointments, and when the conversation gets complicated it hands over to a person with the full history in front of them.

For this you need the WhatsApp Business API, not the mobile app, and a platform to manage it. respond.io is one of the most widely used, with plans from $79 a month and AI agents included from the Growth plan, at $159. What many people don’t know is that Meta charges separately. Since July 2025 WhatsApp bills per message: replies sent within the customer service window are free, and marketing templates are always charged. If you plan to run campaigns on WhatsApp, that cost grows with every send.

It’s a good fit for businesses with a high volume of inbound inquiries, such as a clinic, a training academy, a real estate agency or an online store that gets lots of repeat questions.

Outbound prospecting: finding contacts, enriching their data and launching sequences

This category is for those who go out looking for customers instead of waiting for them. These tools combine a database of companies and contacts, fill in the details you’re missing for each one and launch sequences of AI-personalized emails.

Apollo.io is the benchmark. It claims more than 240 million contacts and 30 million companies, has a free plan to try it out and runs on monthly credits that get used up when you pull emails or phone numbers or enrich records. HubSpot’s prospecting agent does something similar inside the CRM, if you already use it.

A word of caution before you get started. Sending cold sequences to contacts at European companies has data protection implications, and a domain that sends too much ends up in spam. It’s wise to use a secondary domain for prospecting, start with low volume and review what the AI writes before it goes out, because a personalized email with a wrong detail about the recipient’s company does more harm than a generic one.

Recording and analyzing sales meetings, from tl;dv to Gong

Here the price gap between tools is huge, and it makes sense because they do things of very different scope. tl;dv records Google Meet, Zoom or Teams meetings, transcribes them, produces a summary using sales-oriented templates and sends it to the contact record in HubSpot, Salesforce or Pipedrive. It has a free plan, Pro costs €18 per user per month billed annually and Business €29.

Gong plays in another league. It analyzes all of the team’s conversations to spot which patterns repeat in deals that close, which objections come up and which salespeople need coaching. It doesn’t publish prices, charges per user plus a platform fee that depends on team size, and is designed for sales departments with dozens of salespeople.

For an SME, we would start with the basics: nobody should have to write notes after every call, and the CRM should update itself.

ChatGPT and Gemini for writing sales emails and proposals

This is the cheapest category and the one most people already use without calling it a sales tool. ChatGPT Business, formerly called Team, costs $20 per user per month billed annually and $25 billed monthly, with a minimum of two users, and connects to Google Drive, Microsoft 365 or Slack to work with your documents. If your company uses Google Workspace, Gemini is already built into Gmail, even on the Business Starter plan, and drafts or summarizes emails without installing anything else.

What makes the difference is preparing good source material. A salesperson who pastes their catalog, three proposals that worked and the company’s tone of voice into ChatGPT gets useful drafts. One who types “write me a follow-up email” gets the same email everyone else receives.

When it doesn’t pay off: few leads, high-ticket sales or a CRM nobody updates

If you get ten inquiries a month and the owner answers them the same day, a chatbot won’t change anything. AI automates volume, and without volume it just adds a monthly fee and one more thing to maintain.

Nor does it usually pay off, at least on the customer-facing side, when you sell high-ticket projects with sales cycles lasting months. There, the customer wants to talk to someone who understands their situation from the very first message, and a bot firing qualifying questions at them can cost you the sale. AI does help behind the scenes, summarizing meetings or drafting proposals, but not in the first conversation.

The third case is the most common. Most of a CRM’s AI features (sales forecasting, close probability, stalled-deal alerts) learn from the data inside it. If salespeople don’t log their calls, leave opportunities open in the system or keep contacts on their phones, the AI will be working with incomplete data and its predictions won’t help you decide anything. Before paying for AI, we would fix the habit of using the CRM.

What it really costs: licenses, integration and maintenance hours

The license is the visible part, and it’s almost always per user. For a team of five salespeople, going from HubSpot Starter to Professional takes you from about €35 a month to about €450, before the onboarding fee. Many tools also add AI credits that run out. In HubSpot and Apollo, credits renew every month and any you don’t use are lost, and in HubSpot anything over the limit is billed separately. On WhatsApp, you have to add what Meta charges for each template sent.

Integration is the most underestimated line item. Connecting the WhatsApp chatbot to the CRM, deciding which fields get filled in, what happens when a lead already exists and who each conversation is assigned to takes days of work, whether by someone on your team or by a provider. With tools that come with the integration ready-made, like tl;dv with the main CRMs, setup is a matter of hours. With custom workflows, it can take anywhere from a few days to several weeks depending on what needs connecting.

And then there’s maintenance, which nobody budgets for. Qualifying questions change, the catalog changes, the bot gets something wrong and needs correcting, an integration breaks because one of the two tools updated its API. Plan for a few hours a month from someone who reviews conversations, tweaks instructions and checks that data is still reaching the CRM. If nobody has that time allocated, the tool falls out of date as soon as the catalog or questions change, and ends up giving answers that are no longer true.

If you want to know which part of your sales process is worth automating first, and with which tool, drop us a line and we’ll go over it with you.