AI Workflow & Local LLM
AI that earns its keep.
Most AI demos look impressive and quietly cost a fortune. We build AI that does specific, measurable jobs. And host it on your hardware when your data shouldn't leave the building.
What usually goes wrong
- Problem 1
Pilots that never reach production
A flashy demo that only the IT team knows how to use, eating subscription fees while business value stays hypothetical.
- Problem 2
Sensitive data sent to public APIs
Marketing wants ChatGPT for customer enquiries. But your contracts forbid sending PII outside the firewall.
- Problem 3
Workflows that still need humans glueing them
Three SaaS tools that should work together. But a person re-types the data between them every day.
What we deliver
Pick the ones you need, or let us recommend the right mix.
AI chatbots. Customer & internal
Trained on your knowledge base, escalation paths defined, handoffs to humans built-in. Cantonese, Mandarin, English.
Local LLM deployment
Llama 3, Qwen, or Mistral hosted on your own GPU. Answers stay inside your firewall.
RAG over your documents
Retrieval-augmented generation grounded in your contracts, policies, manuals. No hallucinations, citations on every answer.
Workflow automation
n8n, Zapier, Power Automate, or custom RPA. The glue between your systems, finally.
Process audit & re-engineering
We map the actual flow, identify the bottleneck, then automate where it pays back.
API & systems integration
CRM, ERP, ticketing, calendars. Wired together with proper error handling and audit logs.
Specification
- On-prem GPU sizing
- We spec the right hardware for your model size and concurrency target.
- Vector database setup
- Pinecone, Weaviate, or local pgvector. Chosen for your scale.
- Evaluation harness
- Quantitative quality measurement, not just vibes. Tracked over time.
- Human-in-the-loop design
- Every workflow has a clear escalation path; nothing critical runs unattended.
Platforms we deploy
- Llama 3
- Qwen
- Claude
- OpenAI
- n8n
- vLLM
- LangChain
- Microsoft Copilot
2 projects in this capability
- 2026-05Hong Kong law-enforcement agency · GovernmentIntranet crawler and HA deployment for an AI chatbot
- 2024-09Enterprise client · OtherGPU server sourcing
Questions
Should we use a public LLM or run our own?
For non-sensitive content, public APIs are usually right. For PII, contracts, medical, financial. Local LLM is increasingly the only acceptable answer.
How accurate are the chatbots?
With RAG and proper grounding, our deployments routinely achieve 90%+ on first-response correctness. We measure and report monthly.
Can AI replace our helpdesk?
No. But it can handle the repetitive 60–70% of tickets, freeing your team for the work that needs them.
Pairs well with
- Software & AIBusiness Software & Web AppsThe systems your office runs on.Open
- SecurityCybersecurity & 24/7 SOCQuiet protection. Until you need it loud.Open
- Data CenterServer Room & On-Prem InfrastructureWhere your business actually runs.Open
- Data CenterCloud, Backup & Disaster RecoveryCloud where it pays. On-prem where it doesn't.Open
Common inHealthcare & ClinicsBanking & Financial ServicesGovernment & Public SectorRetail
Add AI to your setup.
It is already ticked below. Add anything else you need, then send it over.