WeTech · Hong Kong
Enterprise AI consulting and adoption planning in Hong Kong
Assess AI automation, enterprise knowledge search and document workflows for Hong Kong businesses. Compare options and pilot results, with clear boundaries, recurring costs and steps that require human review.
Content updated: · Hong Kong time (GMT+8)
Who is this service for?
- You want to adopt AI but have not chosen the first business problem to address.
- You need to compare existing tools, enterprise knowledge search and custom applications.
- Your team has tried tools without clear evaluation or consistent usage practices.
Scope and deliverables
- An assessment of workflows, needs and data readiness.
- An options comparison covering costs, limits and data-handling requirements.
- Pilot scope, evaluation examples, success criteria and human fallback.
- A phased roadmap, usage guidelines and training priorities.
How do we evaluate the result?
- Measure task time, answer quality and human review effort together.
- Test missing answers, outdated documents, incorrect citations and access restrictions.
- Compare total costs before deciding on wider adoption.
What can you prepare before a consultation?
- Time-consuming tasks and the current process.
- Available documents, data owners and confidentiality restrictions.
- Team roles, desired outcomes, budget range and current tools.
Which approach fits your needs?
| Approach | Suitable situation | Check before deciding |
|---|---|---|
| Configure existing tools | Available search or automation meets the need | Licensing, data handling and workflow fit |
| Run an AI pilot | One defined task needs quality and cost validation | Representative samples, review, stop conditions and acceptance |
| Custom knowledge search | Answers must use company documents and access rights | Retrieval, citations, updates and access restrictions |
From discovery to implementation
We first review your workflow, existing systems and constraints, then agree the scope and acceptance criteria. A controlled pilot helps validate the approach before wider rollout. Documentation, training and handover form part of the agreed plan. Deliverables, timing and support are confirmed in the proposal.
What determines cost and timing?
Cost and timing depend on feature scope, integrations, data preparation, access controls, security requirements and ongoing support. Third-party licences, cloud usage and maintenance should be identified separately. An initial consultation helps define the assumptions, deliverables and acceptance criteria before proceeding.
- The number of workflows, data quality and usable samples.
- Existing versus custom tools, permissions and system integrations.
- Model and cloud usage, evaluation, review, training and updates.
Deliverables to confirm before accepting a quotation
Use this checklist to compare proposals and agree the relevant documents, responsibilities and acceptance criteria.
- Pilot scope and baseline — Identify the task, current process, exclusions and owners.
- Tests and acceptance records — Agree representative questions, unanswered and failure scenarios, then record quality, total task time and correction effort.
- Data and suppliers — List permitted documents, roles, retention, supplier terms and source-update arrangements.
- Costs and expansion criteria — Separate model, retrieval, tool, integration and review costs, and agree when to continue, revise or stop.
Planning example
This illustrative scenario explains planning and evaluation. It is not a completed client case study.
For internal document search, choose permitted documents and representative questions, and record current lookup time. Evaluate answers, citations, missing answers, outdated documents and access restrictions. Include human review time in the total cost.
Frequently asked questions
Can we put company documents directly into an AI tool?
Does enterprise knowledge search always require RAG?
How do we know a pilot has succeeded?
What should the quotation cover?
What should we prepare for the initial consultation?
How do we confirm the deliverables meet our needs?
What should an enterprise AI knowledge-base pilot deliver?
Should we start with an AI agent or workflow automation?
Should we audit data before an AI pilot?
How do we choose a knowledge base, fine-tuning or a support chatbot?
Further reading
- 企業 AI 知識庫點樣落地？ (Traditional Chinese)
- AI Agent 同工作流程自動化點揀？ (Traditional Chinese)
- 香港中小企 AI 導入與流程自動化指南 (Traditional Chinese)
- 企業導入 AI 開發的落地 Roadmap (Traditional Chinese)
Related product cases (Traditional Chinese)
Reference sources
- NIST AI Risk Management Framework
- PCPD — Artificial Intelligence: Model Personal Data Protection Framework
These sources provide technical and evaluation references. Adapt the planning recommendations to your systems, data and agreed scope.
Buying and implementation guides
Define scope, cost, acceptance and handover before deciding the next step. These guides explain planning methods; actual deliverables and quotations are agreed per project.
- AI consulting costs in Hong Kong: scope and quotation checklist
- AI project RFP: a supplier selection checklist for Hong Kong businesses
- AI proof of concept acceptance: a practical test checklist
- Enterprise AI data privacy: cloud, private deployment and access checks
- AI readiness audit in Hong Kong
- AI knowledge base costs
- RAG vs fine-tuning
- Enterprise AI chatbot buying guide
- AI document processing checklist
- AI monitoring and maintenance
Start with your business problem
Tell us which tasks take the most time, which systems you use and what you want to improve. We will discuss your needs and the next practical step.
Free initial consultation