AI Sales Agent and AI Salesperson for Business

AI Sales Agent and AI Salesperson for Business

AI sales agent, chatbot, and virtual salesperson for your sales team: instant lead handling, qualification and scoring, funnel management, follow-up and nurturing, upsell and base reactivation, sales automation 24/7.

from $490/month

Order

Description

An AI sales agent (AI salesperson) is an intelligent assistant that takes over the work of the sales team's front line: it instantly responds to incoming leads, qualifies them by budget, need, and timeline, guides the client through the funnel, nurtures those who hesitate, sends follow-ups, and re-engages those who dropped off. The solution works on websites, Telegram, WhatsApp, Viber, Instagram Direct, and Facebook Messenger — across all channels where leads come in. The product is suitable for any business with a sales team: B2B companies and service agencies, online education and info-businesses, wholesale and manufacturing companies, IT and SaaS products, as well as service sales teams. Unlike a support chatbot that reacts to inquiries, the AI sales agent works proactively for revenue: its job is not just to answer, but to move a lead to a closed deal. This is not just a chatbot, but a tool that knows the specifics of sales: it can work with lead scoring and qualification, sales scripts, objection handling, funnels, nurturing and follow-up, upsell and cross-sell, base reactivation, and handing hot leads to a manager. In essence, it is a virtual AI salesperson and online consultant powered by artificial intelligence that automates sales: from the first contact and lead generation to qualification, nurturing, and handing a purchase-ready lead to the CRM. Related solutions: AI agent for online stores and business process automation.

Advantages

  • Higher conversion through instant lead response. A lead 'cools down' within minutes — and whoever responds first wins. The AI sales agent reacts to a request in seconds on any channel, asks qualifying questions, and immediately guides the client to the next step. This increases lead-to-deal conversion while competitors are still calling back.
  • Lead qualification and focus on hot clients. A large share of requests are non-target: wrong budget, wrong need, 'just browsing.' The AI agent clarifies budget, need, timeline, and decision-making authority, then forwards only qualified leads to managers with full context. Managers stop wasting hours on 'cold' conversations.
  • Nurturing and follow-up that managers forget to do. Up to 80% of sales require several touches, but managers often fail to close the loop — they forget to call back, don't remind, lose the client. The AI salesperson automatically runs a sequence of touches: reminds, handles objections, sends follow-ups, and brings back those who didn't finish the deal.
  • Higher average check and repeat sales. The AI agent offers relevant upsell and cross-sell at the moment of interest, informs about packages and special offers, and reactivates the old client base with personalized offers. Thanks to conversation context, recommendations feel appropriate and increase both the check and LTV.

Features

✓ Lead Qualification and Scoring - The AI agent asks the client structured questions (need, budget, timeline, decision-maker), segments leads by purchase readiness, and automatically forwards only target leads to managers. Non-target leads aren't dropped — the agent routes them into a reactivation base or offers an alternative. With CRM integration, the agent applies tags, statuses, and priorities.
✓ Funnel Management, Objection Handling, and Nurturing - The AI salesperson guides the client through funnel stages using your sales script: answers typical objections ('too expensive', 'I'll think about it', 'competitors are cheaper'), sends cases and social proof, runs timely follow-ups on a touch schedule, and nurtures those who hesitate — without pressure, but systematically.
✓ Upsell, Cross-sell, and Base Reactivation - At the moment of interest, the AI agent offers related products (cross-sell), better packages (upsell), and informs about promotions and limited offers. A separate scenario is reactivation: the agent re-engages clients who were interested before but didn't buy, with a personalized offer based on their context.
✓ CRM Integration and Hot Lead Handoff - The AI agent integrates with your CRM (Bitrix24, AmoCRM, KeyCRM, HubSpot, Pipedrive, Salesforce): it automatically creates deals, fills in lead cards (need, budget, channel, stage), adds dialogue history, and at the right moment hands a hot lead to a manager with a notification and full context for closing the deal.

Prices

AI Start

$490 / month
  • up to 3,000 AI requests / month
  • up to 2 languages
  • Email support (response within 24 hours)
Order
Popular

AI Business

$1,490 / month
  • up to 15,000 AI requests / month
  • up to 5 languages
  • Priority support (response within 6 hours)
Order

AI Enterprise Automation

from $4,900 / month
  • unlimited or from 100,000 requests / month
  • 10+ languages
  • Dedicated manager + 24/7 SLA
Order

Frequently Asked Questions

How does an AI sales agent work?

The AI salesperson connects to your communication channels — website, Telegram, WhatsApp, Viber, Instagram Direct, Facebook Messenger — and starts processing incoming leads according to predefined sales scenarios. It instantly responds to a request, qualifies the client (need, budget, timeline), guides them through the funnel, handles objections, runs follow-ups, and hands a purchase-ready lead to a manager or CRM with the full dialogue context.

How is an AI sales agent different from a support chatbot?

A support chatbot reacts to inquiries and closes service questions (where's my order, how to return an item). The AI sales agent works proactively for revenue: its goal is not just to answer, but to move a lead through the funnel to a deal. It qualifies, nurtures, handles objections, upsells, and brings back those who didn't buy. These are two different products: one offloads support, the other increases sales.

How does the AI agent qualify leads?

The agent asks the client structured questions based on your qualification logic: need and task, budget, timeline, decision-maker, source of inquiry. Based on the answers, it segments the lead by purchase readiness (hot/warm/cold) and forwards only target leads to managers with full context. Cold leads are routed into a reactivation base for further touches rather than lost.

Can the agent do nurturing and follow-up without a manager?

Yes, this is one of the AI salesperson's key functions. The agent runs a sequence of touches on schedule: reminds the client about the offer, handles objections, sends additional arguments (cases, reviews, calculations), and offers a discount or bonus at the right moment. When the client is ready, it hands them to a manager to close. This solves the main problem of sales teams: leads are lost because no one followed up.

Which CRMs does the AI sales agent integrate with?

Major CRMs are supported: Bitrix24, AmoCRM, KeyCRM, HubSpot, Pipedrive, Salesforce, as well as custom systems via API. The agent automatically creates deals, fills in lead cards (need, budget, channel, funnel stage), adds dialogue history, applies tags and statuses, and assigns tasks to managers. A hot lead is handed to a manager with a notification and full context for a quick close.

What about complex and non-standard deals?

For complex deals (large amount, tender, custom solution, multiple decision-makers) the AI agent collects maximum information from the client (task, budget, timeline, selection criteria) and immediately forwards a qualified lead to a specialized manager with full context. The agent doesn't try to close a complex deal itself, but saves the manager hours on clarifying basic details and qualification.

How long does it take to launch an AI sales agent?

A basic launch usually takes 2–3 weeks. This includes setting up qualification and funnel scenarios, digitizing your sales script and objection handling, connecting communication channels, integrating with the CRM, configuring nurturing and reactivation scenarios, and testing on real leads. More complex projects (long B2B cycle, multiple products, complex funnel) — up to 4–6 weeks.

Will the agent know the specifics of our product and sales script?

Yes. The AI salesperson is customized for your business: we upload your product and services with benefits and prices, sales script, handling of typical objections, cases and social proof, lead qualification criteria, USP, and special offers. The agent communicates in your brand's style and sells your specific product using your logic, not generic templates.

How much does an AI sales agent cost?

The cost depends on the volume of leads and the depth of integrations. The basic AI Start plan is $490/month (up to 3,000 AI requests, up to 2 languages), AI Business is $1,490/month (up to 15,000 requests, up to 5 languages), and AI Enterprise starts from $4,900/month with custom limits and a 24/7 SLA. We calculate the exact implementation price after a brief: we factor in lead volume, required integrations (CRM, channels), and the complexity of the funnel and nurturing scenarios.

Does the AI agent replace a sales manager?

No. The AI salesperson takes over the routine — instant lead handling, qualification, nurturing, follow-up, and base reactivation 24/7. Managers focus on what humans do best: closing hot deals, negotiations, and working with complex clients — receiving from the agent only ready leads with full context. The goal is not to cut the sales team, but to remove routine, increase conversion, and give managers more time to close deals.

Customer Cases

B2B service agency (marketing, long deal cycle)

first response time to a lead dropped from 40 minutes to 20 seconds
+37% growth in lead-to-meeting conversion
–50% manager time on qualification

The agency received requests from the website, forms, and social media, but managers couldn't respond quickly — some hot leads cooled down, while hours were spent qualifying non-target ones. The long deal cycle meant leads were lost between touches: managers forgot to call back and remind in time.

We implemented an AI salesperson that instantly responds to every request, qualifies the client by need, budget, and timeline, and forwards target leads to a manager with an online meeting booked. A separate scenario is nurturing: the agent runs a sequence of touches, handles objections, and brings back those who stalled.

Integration with Bitrix24. Now managers work only with qualified leads and close more deals, while leads stopped getting lost between touches thanks to automatic follow-up.

Online school with paid courses

+45% growth in requests converted to payment
recovery of 22% of leads that previously dropped off without buying
average response time to a request — 15 seconds

The school received many requests for trial lessons and consultations via Instagram and Telegram, but a large share of prospective students never reached payment. The sales team physically couldn't nurture everyone, and evening and night requests went without a quick response.

We launched an AI salesperson that advises on programs, qualifies by learning goal and budget, books trial lessons, and nurtures to payment: reminders, answers to doubts, follow-up after the trial lesson with a discounted package offer.

Integration with KeyCRM. The share of requests converted to payment grew significantly, and a separate reactivation scenario recovered part of the leads that previously simply got lost.

Wholesale company (B2B product sales)

automated 70% of initial qualification of wholesale requests
+28% growth in repeat orders thanks to follow-up
–45% manager workload during peak periods

The company received dozens of wholesale requests per day, but managers drowned in routine: clarifying volumes, terms, and prices for small and non-target requests took up most of their time, while large clients sometimes waited too long for a response.

We implemented an AI salesperson that qualifies wholesale requests by volume, region, and need, provides basic information about terms and prices, and immediately hands large clients to a specialized manager with full context. A separate scenario is follow-up for repeat orders and reactivation of clients who hadn't bought in a while.

Integration with a custom CRM. Now managers focus on large deals, and the share of repeat orders grew thanks to systematic follow-up that previously couldn't be done manually.