Company P built an internal HR chatbot that raised the HR department's efficiency and cut the time employees spend looking for information. Using the XGEN Agentic AI Platform, internal HR documents were made searchable and answers run around the clock inside the collaboration tool (Teams).
Repeat inquiries and an information gap — HR's two burdens
A day on an HR team often runs like this.
- Repetitive, simple inquiries keep arriving at HR, and the time spent answering keeps growing
- Policy changes and new-programme announcements do not reach the whole company quickly, leaving an information gap between employees
- Employees cannot find what they need right away
"How many days of leave do I have left?" "How does the leave-of-absence programme work?" — the answers are fixed, but a person had to give them every time. And when a policy actually changed, word did not reach the people who needed it. The problem was not missing information; it was scattered information.
An HR chatbot that keeps itself current
Automatic answers — a chatbot handles the HR areas people ask about most. Attendance, working hours, leave, leave of absence, maternity protection: employees can ask about the rules right inside the collaboration tool.
RAG-based freshness — internal HR documents are learned and updated automatically, so the information stays current. When a rule changes, the chatbot's answer changes with it, and the problem of "repeating last year's guidance" disappears.
Sources on every answer — each answer carries the document it rests on, so responses are grounded and trustworthy. For anything important, it prompts the employee to double-check, which keeps automation and accuracy in balance.
24/7, even while HR sleeps
- With the chatbot handling recurring FAQs, repetitive work went down
- Round-the-clock questions became possible, cutting the time employees spend searching and improving access
HR is freed from repeat responses to focus on its real work — programme design and employee experience — and employees get an answer the moment they wonder. Internal knowledge moved from something you have to ask about to something you find yourself when you need it.
If your internal knowledge lives only in people
If rules and procedures exist in a document somewhere but you still end up asking a person, an internal RAG chatbot turns that document into a colleague who answers any time. The approach is in Applied AI solutions, and related cases are below.
- Public-sector AI that actually carries out procurement work → Public agency K's SRM AI chatbot
- RAG over multimodal data → Company S
If you want to build an internal chatbot on your organization's own knowledge, get in touch through PoC and technical consultation.