Pizza Surgut reduced document processing time from 7 hours to 30 minutes: 8 AI agents in a pizzeria

The regional pizzeria chain "Pizza Surgut" faced the chaos of manual operations: from document processing and recruitment to financial control. The implementation of eight AI agents allowed them to reduce document processing time from 6-7 hours to 30 minutes, free managers from reading chats, and speed up hiring.

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Initial Situation: Chaos and Routine

Pizza Surgut, like many growing companies, suffered from accumulated "manual chaos." Processes existed in emails and spreadsheets, tasks were lost, errors were discovered late, and managers were drowning in operational details instead of strategic development. Daily, they had to manually process up to 200 documents, 100 job applications, and dozens of tasks from chats, which took employees 6-7 hours a day for just one task.

What Was Implemented: An Ecosystem of 8 AI Agents

The company decided to address the problem comprehensively by building a unified ecosystem of eight AI agents, implementing them in stages. Each agent took over a specific block of routine tasks:

• AI Document Management Agent. Automated the processing of incoming accounting and legal documents: tracking receipts, OCR, classification, extracting requisites, renaming, and filing to archives.
• AI Chatbot for Resumes. Analyzes messages in Telegram chats, recognizes candidate applications, extracts information, and forms structured rows in a table.
• AI Chat Summarization Agent. Daily collects messages from work Telegram chats, filters out irrelevant content, and generates structured summaries for managers.
• AI Auto-Reply Bot for Employees. Answers common employee questions in chats using a knowledge base and provides links to documents.
• AI Recruitment System. Automatically retrieves applications from hh.ru and Avito, extracts candidate data, filters them by defined rules, and highlights relevant candidates.
• AI Revenue Reconciliation System. Automatically reconciles data from "Kontur OFD" with bank receipts daily, identifies discrepancies, and generates reports.
• AI First-Line Tech Support Agent. A Telegram bot that receives requests, searches for answers in a knowledge base, and if none are found, routes the request to Service Desk.
• AI Legal Change Monitoring Agent. Weekly reviews official sources, filters legislative changes by industry criteria, and generates a legally significant digest.

Results: Reduced Routine and Increased Efficiency

The implementation of AI agents led to significant improvements in operational activities:

• Document Processing. Reduced document processing time from 6-7 hours to 30 minutes.
• Managerial Time. Managers are freed from constantly reading group chats thanks to summarization.
• Recruitment. Ability to find the right candidate in a couple of minutes instead of several hours of manual selection.
• Transparency and Predictability. Reduction in errors and "gaps" between departments.
• Scalability. An architecture was created that allows for easy addition of new agents and expansion of functionality.

Source: sostav.ru

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