Your data stays yours
Client data trains your models and workflows, not ours. HK PDPO-aware handling by default.

Data foundations, integration, governance, and outcomes—owned by engineers who stay accountable. AI is the hero; web and mobile are how it reaches your users.
AI Operations Retainers: we monitor, tune, and report on production workflows each month(01) Trusted by the best





“We've always believed in prioritizing clients and our team equally. This approach ensures that everyone achieves the best outcomes of every project.”


















AI Operations Retainers
Some teams do not need a new build. They need a repeating workflow handled properly after go-live: quality, escalation, and monthly accountability.
From HKD 3,800 a month after setup from HKD 12,000
What your retainer runs
ExampleIt answers from what you approved. In their language.
Customer · WhatsApp · 23:14
Do you deliver to Kowloon by Friday?
Your approved answer
Yes. Orders placed by 3pm Thursday arrive by Friday.
Customer · WhatsApp · 23:16
收到嘅貨爛咗,我想退款。
Try it
Four small tools that show approval gates, escalation, and how the work behaves. No sign-up. The customer demo runs on our own AI server, not a third party.
Illustrative examples with a fictional shop, not client results. The customer demo sends its questions to our own AI server, not a third party; the other tools run in your browser and send nothing to us. A live setup uses your approved answers, your rules, and a production language model.
(02) Why choose us?
Most pilots stall on data quality, governance, integration, and ownership—not prompting. We are here for teams who want intelligence in the product, not slideware, with delivery DNA from three decades of building.

Boutique delivery roots, reframed for AI that survives production.
Boutique IT consulting roots across Hong Kong, APAC and Middle East, reframed for production AI: data trust, governed integration, and outcome ownership.
About usExperience
0+
years of market-driven delivery across digital products
Regions
0
Hong Kong, APAC and Middle East coverage
Focus
AI
data, integration, governance, and outcomes in production
Guarantee
0%
money-back clarity on agreed fixed-scope delivery
(03) Private. Secure. Yours
Client data trains your models and workflows, not ours. HK PDPO-aware handling by default.
Auth, audit trails, scoped permissions, and human gates on writes, sends, and deletes—built to survive security review.
On-time, on-budget habits from years of product engineering. Money-back clarity on fixed scope.
Harnesses, runbooks, and monitoring hooks so quality is measurable after we leave—or while we stay on retainer.
Hong Kong, APAC and Middle East presence for follow-the-sun reliability.
Retainers and embeds that share sprint goals and operational lift, not ticket queues or slideware demos.
(04) Our services
Forward Deployed Engineers who sit with your operators, ship production AI in your environment, and stay accountable through go-live.

(05) Our process
Pick a stage to see what happens in it.
Discover
We start with data trust, workflow mapping, and success metrics—so we know what must be true before a model earns a place in production.
(06) How we engage
Data audit, workflow map, success metrics, then one high-value path hardened for production.
MCP, RAG, and governed wiring into CRM, ERP, booking, POS, and IoT—with audit and approval gates.
Managed retainers for monitoring and tuning, or engineers who share sprint goals inside your team.
(07) Our team
No account-manager relay. The people you meet are the people accountable for the work, from the first message to the monthly report.

CEO
Scopes each engagement, agrees what success looks like, and answers for delivery across Hong Kong, APAC and the Middle East.

Software Engineer
Builds and runs what WBC ships: the agents, the integrations, and the monitoring that keeps them honest after go-live.
Selected work
(08) Our insights
(09) FAQ
Can't find what you're looking for? Reach us at info@wbc-digital.com or WhatsApp +852 5429 0153.
Usually not the model. Weak data, missing domain context, brittle integrations, no governance or evals, and nobody accountable after the demo. We start with those layers so the system can survive real operators and risk review.
(10) Contact us
A short conversation can change your AI roadmap. Tell us what you're building, or where existing systems need intelligence.