Enterprise AI & Agentic Automation Solutions

Turn company knowledge into an intelligent asset - with enterprise AI that is secure and built for real work

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Illustration of Enterprise AI: a protective shield enclosing an AI brain connected to documents and databases
Sound familiar?

You want AI on company data, but fear the leak more

  • Knowledge is scattered - finding one old policy or manual means asking several people and losing hours
  • Afraid secrets walk out through public AI - you want ChatGPT speed, but staff must not paste customer data into it
  • Employees quietly use personal AI accounts - no policy, no system, and real PDPA exposure
  • Manual, repetitive work eats your team - skilled people spend days keying, checking and summarizing

The answer is Private AI - AI running on your own infrastructure that understands your data but never lets it leave the building.

Core Capabilities

Enterprise AI services

1. Enterprise Private LLM & RAG (Retrieval-Augmented Generation)

An AI assistant connected to your internal documents and databases (PDF, ERP, wiki). Staff find information and get summarized reports instantly - while sensitive data never reaches a public cloud API.

  • Data pipelines from your existing databases
  • Access control by role and department
  • Deploys on on-premise GPU servers or private cloud

2. Agentic AI & Business Workflow Automation

Go beyond simple automation with AI agents that reason and act across systems: verifying financial documents, analyzing risk, or routing approvals.

  • Multi-agent workflows across departments and systems
  • Human-in-the-loop approval where control matters
  • Connects to legacy systems via API, RPA or database connectors

3. AI Governance & Security Compliance

An AI usage framework aligned with PDPA, ISO 27001 and modern security standards - preventing hallucination incidents and data breaches.

  • AI usage policy and acceptable-use guidelines
  • Risk assessment and model evaluation framework
  • Audit logs and monitoring of every request
Use Cases

Real deployments in the enterprise

Knowledge assistant

Instant Q&A over manuals, policies and internal documents - cutting search time by more than 60%

Finance copilot

Automatic invoice and PO review and summarization, connected directly to your ERP

Customer insight hub

Analyze conversations and complaints across channels into weekly executive reports

FAQ

Common questions about Enterprise AI

What do we need to prepare before starting a Private LLM project?
Start with what you already have - no need to wait for perfect data. Pick one measurable use case such as Q&A over internal manuals (RAG), measure results, then expand. Our AI Discovery Workshop assesses readiness and produces a roadmap at no cost.
Is our company data really safe?
Private LLM runs on your infrastructure - on-premise or private cloud. Nothing is sent to public AI APIs. Role-based access control and audit logging comply with Thai PDPA.
How long until the system is actually usable?
A working proof of concept typically takes 4-8 weeks depending on data readiness. We deliver in milestones so you see results early.
Do we need an in-house AI team first?
No. We design for your existing team to operate, provide knowledge transfer, and offer managed services afterward.

Start your Private AI right from day one

First meeting is free with no obligation - get a mini roadmap and the highest-value use cases before you invest. Reply within 1 business day.

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