AI agentsscenario
AI agents for sales and CRM
Lead qualification · 24/7 answers · CRM write-back · 2–4 week pilot
A digital employee in the sales funnel
The AI agent takes inquiries from the website and messengers, qualifies interest, answers from the price list and knowledge base, and hands a warm lead to a manager in CRM. Not “chat for chat’s sake” — a contour where the dialog ends in an action: a deal, a task, a handoff.
The pain we close
- 01
Leads go cold at night and on weekends while a manager does not reply
- 02
The same questions (“price,” “timeline,” “do you have…”) eat the shift
- 03
CRM is filled in by hand and with errors
- 04
No shared knowledge base — every manager answers differently
What we deploy
Agent on the website and in messengers
Widget, Telegram, WhatsApp, VK — one sales scenario and unified dialog analytics.
RAG over your materials
Price list, FAQ, offers, service cards — the agent answers only from verified sources.
CRM integration
amoCRM / Bitrix24: lead, qualification fields, a task for the manager, no manual copy-paste.
Guardrails and handoff
Complex and disputed cases go to a human with full dialog context.
Cases
Cases for this scenario
ChatNeuron
ChatNeuron — cloud AI agent and widget · CIS-ready
We built NeuronChat as SaaS: portal with dashboard, agents, dialogs, leads, analytics, and knowledge base. Site widget, RAG training, multiple agents for different domains in one account. CIS-ready: multilingual AI and local CRM/1C integrations.
MONSUROVICH
MONSUROVICH
We built a VK bot with an AI agent: the customer picks dishes in chat, the bot assembles the order and sends it to kitchen and POS. Network of 3 roll delivery points.
CommBoost
CommBoost — AI analytics for sales teams · CIS-ready
We built CommBoost as a full SaaS: product landing, portal with workspace, call files, clients, objections, integrations, and billing. AI scores conversations, classifies leads, and surfaces weak parameters for coaching. CIS-ready: local telephony (+7 7xx, +998), RU/KZ/UZ speech analytics, regional CRM.
Cost guides
Exact estimate after a brief in 1–2 days. We often start with ready ChatNeuron, then add a custom layer.
| Package | What’s included | Price | Timeline |
|---|---|---|---|
| ChatNeuron pilot | Widget/messenger, knowledge base, CRM, pilot metrics | product implementation | from a few weeks |
| AI pilot for the process | One qualification/answers scenario on your data | from $2,273 | 2–4 weeks |
| Prod contour | Several channels, roles, monitoring, SLA changes | by scope | from 2–3 months |
FAQ
How is this different from an ordinary chatbot?
A button bot walks a menu. An AI agent understands free text, relies on a knowledge base, and writes to CRM. The goal is qualification and deal handoff — not “leave a number.”
Do we need the ChatNeuron product?
If the scenario is typical (website + messengers + CRM) — it is faster to start on ChatNeuron. If the process is unique or you need on-prem — we run a custom pilot.
How do you measure impact?
Before/after: time to first reply, share of dialogs without an operator, number of qualified leads in CRM, load on managers.
See also
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All AI agents and AI integration
Service hub: pilot, products, stack, and FAQ
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On-Premise AI
Local GPU contour without the cloud
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AI video analytics
Computer vision for production lines
Discuss an AI sales agent
Describe channels and CRM — we will propose a 2–4 week pilot with metrics.
