Pizza Surgut Implements 8 AI Agents: Routine Work Cut from 7 Hours to 30 Minutes, Increased Transparency

The Pizza Surgut restaurant chain implemented eight AI agents to comprehensively automate operational and administrative processes. As a result, manual document processing was reduced from 6-7 hours to just 30 minutes, and managers were freed from constantly reading work chats, allowing them to focus on strategic tasks.

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The Initial Problem: Manual Chaos and Overload

Before AI implementation, Pizza Surgut, like many other companies, accumulated manual chaos: processes existed haphazardly, tasks were lost, and managers were drowning in clarifications and control. This was particularly acute in the chain's distributed structure with multiple legal entities, dozens of employees, and high operational load.

• Document Management. Up to 200 accounting and legal documents had to be processed manually daily, taking 6-7 hours. This included opening, recording information, renaming, and filing documents.
• Recruitment. Reviewing 100 applications daily from various platforms took several hours, and transferring candidate forms from Telegram and the website into spreadsheets was entirely manual.
• Communications. Managers spent a lot of time reading work chats, where important tasks and information were lost among hundreds of messages. Employees also constantly asked repetitive questions, distracting administrators.
• Financial Control. Daily reconciliation of revenue between online cash registers and banks required manual checks.

What Was Implemented: 8 AI Agents for Comprehensive Automation

Pizza Surgut addressed the problem comprehensively by implementing eight AI modules, each automating a specific process:

• AI Document Management Agent. Automatically monitors files in the cloud, standardizes formats, performs OCR, classifies documents (invoices, acts, contracts), extracts key details, renames files, and archives them.
• AI Chatbot for Resumes. Analyzes messages in Telegram chats, recognizes candidate forms, extracts information, and creates structured entries in a spreadsheet.
• AI Chat Summarization Agent. Daily collects messages from work Telegram chats, filters out irrelevant content, and generates structured summaries, sending them to managers.
• AI Auto-Reply Bot for Employees. Analyzes employee questions in chats, matches them with a knowledge base (editable in Google Sheets), and automatically responds, attaching links to relevant documents.
• AI Recruitment Automation System. Retrieves applications from hh.ru and Avito via API, extracts extended candidate data, stores it in a unified, de-duplicated table, and filters relevant candidates based on predefined rules.
• AI Revenue Reconciliation System. Automatically retrieves data from "Kontur OFD" and banks (Sberbank, VTB, T-Bank, Alfa-Bank), reconciles sources, identifies discrepancies (e.g., checks without receipts or vice versa), and generates a report in Google Sheets.
• AI First-Line Technical Support Agent. A Telegram bot receives requests, searches for relevant answers in the knowledge base, and if no answer is found, routes the request to Service Desk or a specialized support chat, recording user data.
• AI Legal Change Monitoring Agent. Weekly reviews official sources, filters materials by industry criteria, generates a legally significant digest, and publishes it in a Telegram channel, adding Central Bank key rate and CPI data.

Results and Benefits

The implementation of AI agents led to significant improvements in several key areas:

• Reduced Routine. Manual document processing, which previously took 6-7 hours, is now performed by the AI agent in 30 minutes.
• Freed Up Manager Time. Chat summarization liberated managers from constantly reading hundreds of messages, allowing them to focus on more important tasks.
• Accelerated Recruitment. Automated application processing allows finding the right candidate based on criteria in minutes.
• Reduced Administrator Workload. The employee auto-responder significantly cut down the flow of repetitive questions.
• Increased Financial Transparency. Automated revenue reconciliation eliminated the risks of manual errors and made the process fully transparent.
• Optimized Tech Support. First-line support is handled by the bot, speeding up answer delivery for users and unburdening the support team.
• Up-to-Date Information. The legal change monitoring agent ensures timely receipt of critical updates without manual searching.

Source: sostav.ru

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