RAG-powered Management Strategy AI Chatbot

AIB2BSMBAutomation
Written By Bruno Carrier

Overview

We developed a RAG-powered AI chatbot combining management frameworks with company-specific knowledge. The solution delivers contextually relevant strategic insights with consistent messaging and data-backed recommendations. This enables organizations to improve alignment, accelerate decision-making, and enhance knowledge transfer through AI-assisted management support.

Challenges

This AI management assistant provider sought to align machine outputs with specific communication styles and psychology frameworks. To meet growing customization demands, they required advanced LLM expertise to fine-tune and evaluate outputs against established standards. Partnering with a specialized technology provider created an opportunity to strengthen response consistency, streamline knowledge maintenance, and ensure outputs remained aligned with organizational culture, reinforcing client trust.

Results and Benefits

Consistent, brand‑aligned responses. Faster strategic guidance with grounded sources. Scalable chatbot operations and maintenance.

AWS Services

Amazon Bedrock, Amazon API Gateway, AWS Lambda

Customer details

  • Industry: Technology

  • Company Type: Mid-sized Enterprise

  • Location: France

  • Project Timeline: 4 weeks

Bruno Carrier https://benilar.com
Previous

Facility Management ML Analytics
Next

Migration and Modernisation (Startup)