AI Automation: Deploying a Multi-Agent Business Process via Podpislon AI Framework

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

  1. Triggering Event: The workflow initiates when a new request arrives from any of the following sources: `Website`, `Email`, or `Telegram message`.
  2. 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.
  3. 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.
  4. Action / Integration Step:Execute command; if valid require updating payments through external billing modules OR sending automated emails/messages back to customers.
  5. 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 Request logic 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)