AR Phoenix
Hong Kong · Production AI for retail, property and SME operators
Service · AI customer service
Active practice

AI customer service Engineered for your business

Not a packaged product — an engagement. We use Kora as the foundation and engineer the AI customer-service experience around your support flows, knowledge sources and brand voice, so it can run in production day after day.

What we deliver

From knowledge to voice, end to end.

Knowledge engineering

We curate your product docs, FAQs, policies and internal content into a retrievable, auditable knowledge foundation.

Brand voice design

Aligned with your support playbook, brand tone and local phrasing. Multi-language conversation modelled deliberately.

Human-handoff design

Clear rules for when AI handles it and when humans take over — with full conversation context handed across.

Monitoring and iteration

Once live, we analyse conversation quality, CSAT and handoff rate monthly, and keep refining knowledge and reply strategy.

Who it is for

Built for

Retail and service businesses with an existing support team that need scale; and mid-sized companies wanting to transform support with AI but unwilling to accept off-the-shelf SaaS answers.

Engagement format

Two to four-week engineering, then ongoing advisory

01

Diagnose and scope

Audit your current support flows, knowledge sources, voice and escalation rules. Build the engineering plan.

02

Build and ship

Construct the knowledge base, configure voice, integrate with your site or support centre. In production inside four weeks.

03

Ongoing advisory

After go-live, monthly cadence on conversation quality, knowledge updates and reply strategy. CSAT and volume optimised continuously.

Case delivered

Built "AI 小薈" for a US-listed retail client.

We designed and deployed the "AI 小薈" AI customer-service persona for a US-listed retail company — integrated with their member system, product catalogue and training data, bilingual and continuously iterated. The system runs in production.

Deployment
Live · 24/7
Next step

Want AI inside your customer service experience?

Tell us about your current support setup, knowledge sources and target metrics. We will come back with a clear scope and timeline recommendation.