A conversational HR assistant cut vacation request processing from 3 days to 5 to 10 minutes.
- Vacation request time
- 3 days → 5-10 min
- HR headcount growth
- Avoided
- Employee experience
- Chat-native
What we shipped
An AI assistant that handles HR operations via WhatsApp, Telegram, and internal messaging, integrated with enterprise systems like Microsoft Navision.
HR departments in large organizations handle a continuous flow of employee requests. As companies scale, request volume grows and HR teams are consumed by repetitive administrative work.
Blueprint → AI Pilot → Production launch → Scale and operate.
We followed the Datablooz Delivery Model. See our process.
- Blueprint
Identified HR request types, enterprise system integrations, and approval hierarchies that must be encoded.
- AI Pilot
Built the conversational NLU layer and integrated with messaging channels plus a pilot workflow such as vacation requests.
- Production launch
Deployed the assistant with approval logic and integrated with Microsoft Navision and other enterprise HR systems.
- Scale and operate
Expanded to meetings, meal orders, onboarding assistants, policy Q and A, and workforce analytics.
Business, technical, and governance outcomes.
- Vacation cycle time collapsed to minutes.
- No need to hire more HR staff at scale.
- Simpler employee experience via chat.
- HR focus shifted toward strategic work.
- Python
- LLMs
- Rasa
- WhatsApp and Telegram APIs
- PostgreSQL
- Microsoft Navision
Business-rule enforcement, approval routing, and end-to-end logging of requests for HR audit and compliance.
Working on something similar?
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Reference calls available under NDA after the second working session.