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AI agents for business and sales automation

Enot Web connects AI agents to your website, Telegram, WhatsApp and CRM: the agent answers customers 24/7 from your price list and documents (RAG), qualifies the lead and fills in the deal in Kommo, Bitrix24, HubSpot or Pipedrive. Pricing: chat widget from $50, AI agent with knowledge base from $120, AI sales assistant + CRM from $220, full automation from $600. Price and timeline are fixed before work starts.

In short

  • 01Price and timeline fixed upfront
  • 02You keep access to prompts, knowledge base and API keys
  • 03Linked to Meta ads: CRM stages → Conversions API

AI agent packages: prices and timelines

One-off fee for development and setup. LLM API usage is billed separately at cost — for a small business usually tens of dollars a month; exact estimate after a brief.

PackagePriceTimelineWhat’s includedBusiness problem solved
AI chat widget for your websitefrom $502–3 business daysAI assistant on your site, system prompt tailored to your business, contact capture and lead handoff to Telegram or CRM.Leads from the site 24/7, including nights and weekends.
AI agent in Telegram / WhatsApp / Instagram + knowledge base (RAG)from $1204–7 business daysKnowledge base built from your PDFs, price lists, sheets and policies. The agent answers from documents; if the answer is missing it takes a contact and hands over to a manager.Consultations on services, catalog and schedule without waiting for an operator.
AI sales assistant + CRMfrom $2207–14 business daysIntegration with Kommo/amoCRM, Bitrix24, HubSpot or Pipedrive: lead qualification, deal fields, pipeline stages, qualified leads sent to Meta via Conversions API.Offloads the first line and trains ads on qualified customers.
Multi-agent systems and turnkey automationfrom $6002–4 weeksSeveral agents working together (n8n / Python / API), AI review of sales chats, proposal and document generation, scrapers, webhooks, admin panel.End-to-end automation of operations and sales QA.

AI agent payback calculator

A rough estimate, not a promised result. Assumptions: the agent handles half of the first-line workload and recovers 2% of inquiries currently lost to slow replies; API cost about $0.02 per conversation.

Implementation (AI + CRM package)$220
API cost, ~$/month
Extra deals per month
Monthly benefit, ~$
Payback period

AI agent vs button bot vs human operator

CriterionButton botFirst-line operatorAI agent (RAG + CRM)
Response speedInstant, but menu onlyMinutes to hours; gaps at night and weekendsSeconds, 24/7
Free-form questionsDead end on anything unusualUnderstands, but may forget the scriptUnderstands free text and voice messages
Price list & knowledgeOnly predefined branchesNeeds training; mistakes in numbers happenAnswers from your documents
CRM & ad analyticsCreates an empty leadFields and stages often left blankFills deal fields; stages → Meta CAPI
CostOne-offEvery month: salary and taxesOne-off from $50 + API at cost

How implementation works

01 Brief

Goals, channels, CRM, documents. We fix price and timeline.

02 Knowledge base

We collect pricing, FAQ and policies, set answers and guardrails.

03 Integrations

Website, messengers, CRM, Conversions API — per package.

04 Test & launch

We test on real conversations and hand over access and docs.

FAQ

How much does an AI agent cost?

One-off: AI website chat widget from $50, Telegram/WhatsApp AI agent with knowledge base from $120, AI sales assistant with CRM integration from $220, multi-agent systems from $600. LLM API usage is billed separately at cost.

How do you prevent made-up answers?

The agent answers from an approved knowledge base (RAG): pricing, FAQ, policies. If a fact is missing, it doesn’t improvise — it takes a contact and hands the chat to a manager.

Which CRMs and channels do you connect?

Website, Telegram, WhatsApp, Instagram; CRMs — Kommo/amoCRM, Bitrix24, HubSpot, Pipedrive and others via API or webhooks.

Can the AI agent work with Meta ads?

Yes. The agent qualifies the lead and writes the deal to the CRM; qualified stages are sent to Meta via Conversions API so the algorithm learns from quality leads. Ad management is a separate Enot Web service.

Which models do you use?

OpenAI, Claude, Gemini, Grok and others — chosen for the task, language and budget.

Tell us your task — we’ll suggest a package and timeline

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