AI Chat Solutions

Custom AI chat powered by LLM.

BSP builds AI chat assistants on your proprietary data, fine-tuning leading LLMs and using RAG to deliver accurate answers grounded in your business.

AI chat assistant connecting business knowledge and support workflows
Training

Custom LLM training for AI chat

We adapt foundation models to your industry, service processes and communication style, so conversations feel natural and useful to customers.

Industries

Industry-specific chat

Banking & Finance

Help customers with product inquiries, service information and basic transaction support while reducing support workload.

Insurance

Guide customers through products, claims and frequent questions for faster service.

Education

Answer academic questions, guide learning and support students across programs.

Consulting & Customer Service

Handle common inquiries, explain service processes and respond quickly when customers need help.

Smart Agriculture

Offer farmers technical guidance and use crop-disease prediction to spot problems early.

Other Industries

Build tailored assistants for teams with specialized knowledge, documents and customer support workflows.

Deployment

Deployment & integration

We connect AI chat to your website, applications and internal systems with the features your team needs.

Brand & language

Widgets match your brand and support multiple languages.

RAG & knowledge

Retrieve relevant answers from approved documents and databases.

Human handover

Pass complex conversations to an agent when needed.

Existing systems

Embed chat in your website, applications and internal tools.

Analytics

Track usage and customer satisfaction to improve service.

Trust

Why BSP

LLM specialists

Custom AI chat built around your business.

Real-world delivery

Experience training and deploying live assistants.

Your data

Full ownership and a strong focus on privacy.

Local context

Understanding of the Vietnamese market and service needs.

Ongoing support

Maintenance and model improvement after launch.

Method

Five-step collaboration

  1. 01

    Consult

    Free consultation and needs assessment.

  2. 02

    Prepare

    Collect and prepare your business data.

  3. 03

    Train

    Design and train the AI chat model.

  4. 04

    Integrate

    Deploy into your live systems.

  5. 05

    Improve

    Support operations and refine the model.