AI Automation: Deploying an Autonomous Agent System for Sales & Marketing Operations
Automation Stack & Architecture
- Agent Framework: Visual Block Orchestrator (Podpislon AI Agents - similar to n8n or Zapier style)
- Integration Layers: Bitrix24 API, amoCRM API, MoySklad, WhatsApp, Telegram, Yukaсca, HTTP Requestsget_external_data, Mail services.
- Target Outcome: Fully automated lead qualification, contract processing, SEO, review management, and daily reporting without manual developer intervention.
Agent Roles & Tools Assignment
Note: Based on functional categories identified in the source data.
- Sales Intelligence Agent
- Goal: Qualify leads, handle rejected deals/opportunities, check manager calls, update payments via CRM, and generate reports.
- Tools assigned:
Bitrix24 / amoCRM access,Payment monitoring tools,Call logs analysis.
- Marketing Content Agent
- Goal: Automate content creation, SEO optimization, product card updates, and price monitoring for competitors.
- Tools assigned:
SEO engines (via external tool),Competitor Price Monitoring scripts,Content Generation LLM modules.
- Customer Service & Operations Agent
- Goal: Process reviews, manage invoices/acts, booking services, and client registration.
- Tools assigned:
Messenger APIs (WhatsApp/Telegram),Booking systems,Invoice processing logic.
Step-by-Step Workflow Orchestration
- Triggering Event: The workflow initiates when a new request arrives from any of the following sources: `Website`, `Email`, or `Telegram message`.
- Data Analysis Phase:get_data(request);s agent analyzes incoming data against existing knowledge bases (`Base znany`) and checks current status in CRM tools like Bitrix24 atau amoCRM.
- Decision Logic Execution:Based on analysis, the system makes an autonomous decision to execute one or more actions such as creating deals, setting tasks for managers, یا responding directly via messengers.
- Action / Integration Step:Execute command; if valid require updating payments through external billing modules OR sending automated emails/messages back to customers.
- Logging & Completion:Every execution cycle is saved into logs (`Logi v sisteme`) before concluding successfully with updated records across all connected platforms.
Error Handling & Loop Prevention
- Execution Monitoring (Logs): Every run must be recorded in technical logs enoughdto detect failed executions after trigger events.
- External Tool Fallback (HTTP-Request): If no native block exists, use
HTTP Requestlogic to connect any wayward tool ensuring continuous flow without manual build breaks.
Bottom Line: Scale business operations by automating lead qualification, marketing content generation, and routine administrative accounting using a unified AI layer that eliminates redundant subscriptions and developer overhead.
! DYOR (Do Your Own Research)