AI assistant supporting the sales team

Sales and support staff were spending too much time manually searching internal systems. Information retrieval was inconsistent and often inaccurate. Administrative workload reduced the time available for direct client interactions. A large number of repetitive internal inquiries burdened central methodology and product teams. Kooperativa needed a secure and intelligent solution to support client-facing employees and optimize internal processes.

BigHub delivered a tailored enterprise AI solution built on the Microsoft Azure ecosystem, combining modern LLM agents with internal data security, infrastructure, and scalability. Two key components were implemented:

1. AI helpdesk for sales representatives.

2. AI chatbot for branches.

Employees – sales team

3

Azure Cloud | Azure Data Lake | ADLS Gen2 | Terraform | Vector Databases | Entra ID | LangChain | LangGraph | Combination of LLMs incl. OpenAI | RAG agenttic framework | OCR pipeline

Head of functional/operational unit

Full implementation

More than 5,000 conversations per month across departments. 94% of users confirm the assistant provides faster and more accurate information. AI assistant available 24/7, significantly reducing response times. ROI achieved within the first year of operation. 44% adoption rate after just 3 months. Clear cost efficiency due to low operating costs and increased productivity. 8% time savings for managers due to fewer repetitive inquiries. 1% time savings for sales representatives, allowing more client focus. Significant relief for methodology and product teams. Higher frontline employee satisfaction due to easier access to information. Improved knowledge sharing within the company. Increased consistency of responses, leading to higher quality client communication.

More than 5,000 conversations per month across departments. 94% of users confirm the assistant provides faster and more accurate information. AI assistant available 24/7, significantly reducing response times. ROI achieved within the first year of operation. 44% adoption rate after just 3 months. Clear cost efficiency due to low operating costs and increased productivity. 8% time savings for managers due to fewer repetitive inquiries. 1% time savings for sales representatives, allowing more client focus. Significant relief for methodology and product teams.

Client Kooperativa pojišt’ovna Insurance sector Technology Azure Cloud, Data Lake, Terraform, ADLS Gen2, vector databases, LangChain, LangGraph, Entra ID, combination of LLM models including OpenAI models, LLM agents, RAG agent framework, OCR pipeline. AI assistant solution delivered providing 24/7 support to the sales team. 8000 users Implementation duration 3 months Discover your AI potential Book a consultation “What used to take 10 minutes of searching now takes only 10 seconds. When we started with the team two years ago, we knew it wouldn’t be easy. But now, seeing PROKOOP in action, hearing the positive feedback, and holding the VIG XELERATE award in my hands, I know it was worth it.” – Zuzana Šlapalová, Internal Sales Manager, Kooperativa.

Effective project management – clearly defined roles, responsibilities, and regular communication. Team collaboration – high engagement and open knowledge sharing among team members. Data quality and availability – enabled faster development and more reliable results. Flexibility and adaptability – ability to quickly respond to changes and new requirements.

When planning an AI project, we recommend starting with a clearly defined business goal and a realistic estimate of benefits and risks.