TNCDigital Technology
AI Solutions

AI solutions for enterprise knowledge and automation

We develop AI-powered applications that help organizations understand documents, access internal knowledge, and automate business workflows. Our approach combines reliable data pipelines, enterprise software integration, and large language models such as Claude.

Book a demo / trial Solution architecture
Solution areas

AI applied to specific problems

Each solution area states its development status. This is a roadmap, not a list of commercially launched products.

Pilot

AI Knowledge Assistant

Question answering and search across internal information in natural language, with source references.

Solution details
Prototype

Intelligent Document Processing

Understand documents, extract structured fields, classify, summarize and cross-check long documents.

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Research

AI Workflow Automation

AI that uses tools and APIs to support multi-step processes: database lookups, form filling, report drafting, with human approval.

Discuss your use case
Service

Enterprise AI Integration

Bring AI capabilities into CRM, ERP, business applications and existing document management systems.

System integration
Research

AI Meeting Intelligence

Summarize meetings, draft minutes and action items for the person in charge to review.

Interested in a trial
Research
Under research and internal technical testing.
Prototype
Working prototype, demo by appointment.
Pilot
Being piloted with clients on real data.
Available
Ready for client deployment.
Records assistantOnline
Example
When was the decision establishing the digitization task force issued, and how long must it be kept?
search_archive("digitization task force")2 relevant sources

Decision 125/QĐ-UBND was issued on 12 March 2019 1. It belongs to file H.2019.01.TCSH and must be kept permanently 2.

1125/QĐ-UBND · page 1 2Catalogue record H.2019.01.TCSH
Ask anything about your documents…
Example experience

Answers with sources you can verify

The assistant searches only documents the user is allowed to access, composes an answer and points to the source document and page. Users can always open the original to check.

Ask in natural language

No need to remember file codes or exact keywords.

Long-document processing

Summarize, compare and review multi-page files in one pass.

Reference architecture

AI is one layer of the system, not the whole system

Each solution may use only part of this architecture. Access rights are enforced before any data is passed to a language model.

  1. Data sourcesDigitized records, electronic files, databases, business applications
  2. Ingestion & extractionOCR, text extraction, normalization, chunking, metadata
  3. Storage & indexesDocument store, full-text search index, vector index
  4. Retrieval & access controlOnly content the user is permitted to see
  5. Claude / LLMAnalysis, synthesis, reasoning, structured extraction, tool use
  6. ApplicationsChat, reports, business processing, agent actions
  7. MonitoringAudit logs, quality evaluation, user feedback

Where Claude fits

Claude is a technology integrated into our solutions. It handles language understanding and analysis, synthesis, reasoning, structured data extraction and tool use.

OCR, full-text indexing, vector storage and access control are handled by dedicated components in the system.

We integrate Anthropic's Claude models through the Claude API into selected enterprise AI applications running in production, for document understanding, knowledge assistance, structured analysis, and tool-enabled workflows. Claude works alongside our data processing, retrieval, access control, and enterprise integration layers to deliver practical AI capabilities.

TNC engineers also use Claude Code for coding, testing and prototyping.

Security & governance

Safe, controlled AI

Internal and sensitive data must be protected at every layer, not just at the AI model.

Discuss security requirements

Permissions before retrieval

Users only get answers drawn from documents they are allowed to see.

Audit trail

Questions, sources used and actions are logged for later review.

No training on client data

Enterprise AI services with commitments not to use client data for model training.

Human review

Important results are always checked and approved by specialists.

How we work

Start small, measure clearly, scale what works

Every AI project starts with a small trial on real data, with evaluation criteria agreed up front.

  1. 01

    Assessment

    Review your data, workflows and what you need to get out of them.

  2. 02

    Solution design

    A technical proposal with a clear timeline and transparent estimate.

  3. 03

    Pilot / POC

    A small-scale trial on real data to prove value before full rollout.

  4. 04

    Delivery

    Digitization, development and integration, with staged quality acceptance.

  5. 05

    Support & improve

    Handover, training, technical support and continuous improvement.

Data & Digitization

Have an archive that needs digitizing?

Free assessment and quotation based on volume, document types and required outputs.

Request a digitization consultation
Software & AI

Looking to put software and AI to work?

Discuss your requirements, or book a demo and a trial on sample data.

Book a demo / discuss a solution
Zalo