Industry: Enterprise Operations
Services: AI Consulting, Solution Architecture, Agent Design
Engagement: Discovery → MVP → Scale

About the client

A mid-size organization aiming to reduce HR ticket volume and automate finance-related queries while ensuring compliance, data security, and auditability across internal communication channels.

About the project

The goal was to design and deploy domain-specific AI chatbots and agents for HR and Finance to handle policy questions, process leave and reimbursement requests, and provide instant access to finance FAQs.
The system was implemented across Slack, Microsoft Teams, and a web portal for seamless employee engagement.

Duration: 4–6 months (MVP delivered in 8 weeks)
Technologies: Azure OpenAI / OpenAI, LangChain / LlamaIndex, Vector DB (pgvector / FAISS), FastAPI, PostgreSQL, Power BI, Azure / GCP

Application functionality

HR Agent: Leave management, benefits FAQs, policy Q&A, automated form filling, status tracking
Finance Agent: Expense policy Q&A, receipt verification, reimbursement updates, month-end summaries
RAG Engine: Context-aware responses using internal policy documents
Channels: Slack / Teams integration and secure web-based console
Admin Tools: Knowledge management, guardrails, analytics dashboard, role-based access

Solution

As the AI Consultant and Solution Architect, I led the end-to-end design, workflow mapping, and RAG pipeline implementation.
I integrated vector-based retrieval and policy guardrails for grounded, accurate answers.
The architecture included SSO, data redaction, and modular containers, enabling HR and Finance teams to update content independently without developer intervention.

Results

• 50–60% reduction in HR ticket volume within the first quarter
• ~40% faster finance query resolution time
• Enhanced transparency with auditable AI responses and citation logs

• Created reusable, domain-adaptable agent templates for future departments