An AI chatbot for employee communication answers the questions that employees otherwise ask via email, phone, or in the hallway: about vacation and travel expenses, IT, occupational safety, or products. It lives right where the workforce is already communicating: in Microsoft Teams. Its answers are drawn from approved company documents and can vary based on access permissions. If a decision is required, it hands over to the relevant contact. This guide shows which questions are suitable, how answers remain authoritative, and what to look for in a good chatbot for this task.

At a Glance

• Employee communication goes both ways. A chatbot serves the direction where the workforce asks the questions.

• Without an internal path, many turn to public AI tools. But those answers don't know your company agreements.

• Teams is the obvious place, because employees are already chatting there.

• A single knowledge base can provide tailored answers, filtered by permission or department.

• Start with one department, typically the one handling the most repetitive questions.

When Employees Turn ChatGPT into HR

Anyone wanting to know how many days of special leave they get for moving rarely searches the intranet. Typing the question into a public AI tool is much faster. The answer sounds plausible, but it is based on general internet knowledge. Your company's works council agreements, collective bargaining terms, or travel expense policies are not part of it.

This leads to two further consequences. Employees copy internal documents into the tool to get a more accurate answer—placing that content outside the company's control. And no one internally sees which questions are being asked. HR only discovers misinformation when it needs to be corrected.

A ban alone does not answer any of these questions. An internal chatbot provides the workforce with a fast alternative and ties it directly to your own verified sources.

Which Questions an Internal Chatbot Can Handle

Employee communication goes both ways. What the company wants to tell its workforce is shared via the intranet, newsletters, and town halls. What the workforce wants to know ends up in inboxes and on phone lines across departments. A chatbot is built for this second direction, handling questions across almost all areas.

• Human Resources: Vacation, special leave, parental leave, benefits, certificates, onboarding. Covered in detail in the article on HR chatbots for self-service.

• IT: Password resets, VPN setup, software requests, hardware points of contact.

• Health & Safety and Facilities: Safety briefings, emergency contacts, parking rules, cafeteria hours, building policies.

• Procurement and Travel Expenses: Approval thresholds, ordering processes, allowances, expense submission deadlines.

• Products and Sales: Technical specifications, price lists, datasheets, sales arguments. Learn how this helps with distributed knowledge in the article on knowledge management for mid-sized companies.

Anything requiring a personal decision—a conflict, an exception, an individual agreement—is forwarded to the relevant department.

One Knowledge Base, Tailored Answers

Many internal questions have different correct answers depending on who asks. Company holidays vary by location, travel expense policies differ between executives and apprentices, and customer support should not see dealer price lists.

An internal chatbot therefore requires more than a simple search across all documents. Knowledge assets must be filterable so that information only appears under defined conditions, such as for a specific department or permission level. For distinctly separate entities, such as multiple countries, dedicated projects with their own knowledge bases are ideal.

What to Look for in a Good Employee Communication Chatbot

1. It runs in Teams—or wherever your staff already writes, such as Slack or the intranet.

2. It answers from approved sources and shows where the answer came from.

3. It distinguishes by permission level, keeping confidential content accessible only to the right people.

4. It hands over to humans, routed to the appropriate department along with the conversation history.

5. It complies with data protection and co-determination: Data hosted in the EU, no model training on conversations, retention periods configured by the company, and reporting aligned with the works council.

6. Business departments can maintain it themselves, without having to launch an IT project for every new policy.

How Mercury.ai Implements This

Mercury.ai runs as a channel in Microsoft Teams—in active production with customers—and uses the same logic in Slack or on an intranet page. The Knowledge Hub centralizes documents from SharePoint, Confluence, Word, Excel, and PDF, keeping them up to date. Answers are generated from these approved sources and are fully traceable. Knowledge assets can be filtered technically to ensure they only appear under defined conditions. Separate projects can run within a single organization for different departments or countries.

For HR topics, a connector to Personio is available. If a question requires human input, the chatbot transfers the query via the Agent Desk to the responsible team, routed by department or language. Mercury.ai hosts its language models independently based on licensed Mistral models; queries are never sent to external AI providers, and conversations are not used for training. Data retention periods are configured directly by the company within the project. Learn more on our pages about the HR Chatbot and the Knowledge Hub.

Start with One Area

Start with the department that receives the highest volume of repetitive questions—often HR or IT. Connect and approve its documents, roll out the chatbot in Teams to a pilot group, and analyze after a few weeks which questions remained unanswered. Then, expand to the next department, utilizing the same knowledge base and the same governance rules.

Looking to answer your employees' questions directly in Teams? Talk to us.