Company S, an IT services firm, completed a PoC for an AI chatbot and a multimodal RAG Editor, with results verified on the actual floor. It automated roughly 90% of recurring in-person and phone inquiries, returning time that had gone into repeating explanations back to the project.
The same question was eating the project's pace
Company S builds and supplies solutions, and it had these problems.
- Uneven understanding of projects and solutions between colleagues made communication difficult
- Too many people were consumed by repeated questions and responses, slowing project delivery
When the critical knowledge sits in a handful of heads, those people become the bottleneck. If "what configuration do we need to attach this solution to our project?" has to pass through a person every time, the organization moves at exactly that speed.
Learning not just documents, but every shape the data takes
A dedicated AI chatbot — built quickly on XGEN Ops as an AI chatbot specific to Company S. Ask about its own solutions in natural language and it walks through environment setup, integration methods, and API usage step by step.
RAG Editor — trained on the company's own data, it reads a practitioner's question accurately and handles it immediately. Knowledge is no longer scattered; it stays editable and current.
Multimodal support — beyond documents, it processes images, databases, and tables, giving more accurate answers in real time. Working material was never text alone, so reading multiple formats together was the key to accuracy.
What filled the space the repetition left
- Handling solution questions in real time shortened ramp-up on projects and raised development efficiency
- Automating roughly 90% of recurring in-person and phone inquiries cut communication cost
- Improving the communication structure inside a large public project relieved operational complexity
On paper it reads as an inquiry-automation rate. From the team's side, the change was simply that they no longer had to give the same explanation twice. People moved from repetition to the work that actually needs judgment.
If knowledge is tied to a few people
If the critical knowledge sits with a few people and the organization is bound to their pace, multimodal RAG turns that knowledge into something the whole team holds. The approach is in Applied AI solutions and XGEN technology, and related cases are below.
- E-commerce that improved search, support, and code at once → Company I
- Finance-specific AI that shows its sources → Bank J's AI chatbot
If you want to build a dedicated AI on your own data, get in touch through PoC and technical consultation.