AI Chatbot for Internal Business Processes

We design and deploy artificial intelligence systems: from prototype to production-ready solutions. Our team combines expertise in machine learning, data engineering and MLOps to make AI work not in the lab, but in real business.
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AI Chatbot for Internal Business Processes
Medium
~1-2 weeks
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Development of AI Chatbot for Internal Business Processes

Internal corporate bot — interface to company's internal systems and knowledge. Employees get answers to questions about regulations, can submit requests, check process status — in one chat, without switching between systems.

Internal Bot Applications

HR Questions: vacation days, health insurance, office rules, business trip approval — without waiting for HR manager's response

IT Requests: password reset, system access request, ticket status — integration with Service Desk

Financial Requests: advance report status, procurement request, budget information

Internal Knowledge Base: regulations, document templates, corporate policies, technical documentation

Employee Onboarding: step-by-step answers to new employee questions without HR load

Internal Bot Architecture

Key difference from public bot — authentication and access control:

class InternalBotContext:
    user_id: str
    department: str
    role: str
    permissions: list[str]

def process_request(message: str, context: InternalBotContext):
    # Check if user has access to requested data
    if requires_finance_access(message) and "finance" not in context.permissions:
        return "You don't have access to financial data. Contact your manager."

    return bot_handler(message, context)

RAG over Internal Documents

Indexed: regulations in Confluence, policies in SharePoint, templates in Google Drive. Indexing via Confluence API, SharePoint Graph API, Google Drive API. Index update via webhook on document changes.

Important: access control at search level. Employee sees only documents with access — indexing with ACL consideration.

Integrations

  • JIRA/ServiceNow: create tickets, check status
  • 1C:ZUP: vacation balance, salary history
  • Active Directory: employee info, organization structure
  • Slack/Teams: native integration as app

Effectiveness Measurement

How much time employees spent on information search before bot — measured via Time-to-Answer surveys. Typical result: time-to-answer reduction from 15–30 minutes to 1–2 minutes for standard questions.