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Generative AI in HR: Custom AI Chatbot Case Study | Modsen

Generative AI in HR: Custom AI chatbot for a productive workforce

AI-powered HR chatbot that reduced routine workload, accelerated employee support, and increased satisfaction across the organization.

41%

reduction in HR workload

79%

faster response times

2X

higher employee satisfaction

Laptop with AI for HR-chatbot

IT-service type

Custom software development

Business vertical

Human Resources / Corporate Operations

Tech stack

Microsoft Teams, FastAPI, OpenAI API, RAG, MS SQL, Azure, Kubernetes, Jenkins, Grafana, LangChain

Partner

A US-based technology company operating across multiple markets. The partner required a secure, scalable internal HR solution aligned with enterprise processes and compliance standards.

Partner’s challenges

As the company scaled, HR teams faced growing operational pressure:

  • High volume of repetitive employee inquiries (policies, leave, payroll)
  • Generic HR chatbots lacked customization and contextual understanding
  • Security and data privacy risks with off-the-shelf solutions
  • Misalignment with internal HR workflows and terminology
  • Slow response times reducing employee experience

Solutions proposed by Modsen

Automated HR support to handle FAQs on policies, payroll, benefits, and leave without HR involvement

Context-aware responses that uses RAG to retrieve accurate answers from internal HR documents

Enterprise-grade security for role-based access and data protection across all interactions

Seamless integration: embedded directly into Microsoft Teams and HR systems

Scalable architecture ready for future HR analytics, training modules, and feedback tools

Project team

1

Project manager

1

AI/ML engineer

1

QA engineer

Project team
Assistant overview
Customers
Reports
Support service
Support service comments

Development process

Analysis and planning

We started by analyzing existing HR workflows and identifying the root causes of repetitive employee requests. Together with stakeholders, Modsen team defined functional requirements, automation boundaries, user roles, and security constraints. The main outcome was a clear project scope, prioritized high-impact HR scenarios, and technical decisions aligned with business goals from the outset.

UX/UI design

The user experience was designed around quick and intuitive access to HR information. We focused on conversational flows within Microsoft Teams, enabling employees to easily ask questions and receive clear, structured responses. Early interaction scenarios and dialogue logic were validated with HR representatives to ensure usability and consistency with internal communication standards.

Development

During development, Modsen team implemented the backend services, AI logic, and retrieval mechanisms required for accurate HR responses. The chatbot was configured to reflect internal terminology and workflows, integrating with HR data sources and corporate systems. Development was carried out iteratively, allowing for controlled adjustments as requirements evolved.

Testing

The solution was thoroughly tested to validate accuracy, stability, and security. We covered common HR scenarios, edge cases, and peak-load situations. Testing also included validation of access rights and data handling to confirm compliance with internal policies.

Client acceptance

HR specialists and selected employees evaluated the chatbot in real usage scenarios. Their feedback was used to fine-tune response logic, conversational flows, and data coverage. The stage confirmed that the solution met agreed requirements and was ready for production use.

Maintenance

After launch, the team provided ongoing support and continuous improvement of the solution. The knowledge base was updated as HR policies evolved, and the system was monitored to maintain response accuracy and performance. Following successful adoption, the solution is being expanded with:

  • Employee education and onboarding modules
  • Advanced HR analytics and insights
  • Feedback collection and sentiment analysis
  • Regular knowledge base updates
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Business value

Reduced HR workload

  • Automation of routine employee inquiries led to an approximately 41% reduction in HR operational load.
  • HR specialists shifted focus from repetitive support tasks to complex employee cases and strategic initiatives.
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Faster employee support

Direct access to HR information through the AI assistant resulted in up to 79% faster response times compared to email-based workflows.

AI assistant in Teams call

Higher employee satisfaction

Employee adoption of the HR chatbot doubled within six months, indicating higher trust and engagement with the solution.

Secure and controlled information access

Role-based permissions ensured access to HR data strictly according to user roles, with no security incidents reported during the observed period.

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