About Zistrat AI

Your AI Automation Partner for Hong Kong SMEs

Zistrat AI focuses on turning repetitive, scattered, error-prone internal processes into more stable operational systems. The goal is not to pile on tools, but to give your team more time for high-value work with less admin.

Customised for Your Reality

We work through your actual processes and constraints step by step, not off a template.

Built to Be Maintained

Solutions include clear rules, handoff points, and room for future optimisation so they work long-term.

Results-Oriented

The focus is on shorter response times, less duplicate entry, and better follow-up efficiency.

Capabilities

Where We Usually Start

The most common areas of focus are customer service, data synchronisation, quoting, and follow-up workflows.

Understand the Process Before Automating

We start by mapping your existing operations and bottlenecks, then decide what's worth automating and what should stay human-led.

Hong Kong SME Context

Our content, enquiry scenarios, and workflow cadence are grounded in how Hong Kong SMEs actually operate — not adapted from overseas templates.

Bilingual Support

We can handle bilingual (Chinese and English) enquiries, internal communications, and customer data processing to reduce cross-language friction.

Coverage

Focused on Common Hong Kong SME Scenarios

Whether retail, trading, services, manufacturing, or logistics — the core challenges usually revolve around enquiries, data flows, and repetitive admin.

Retail
Trading
Services
Manufacturing
Logistics
Working Model

Our Approach Prioritises Clarity and Practicality

We prefer breaking complex problems into steps that can go live, be tested, and be continuously adjusted.

01

Process Audit

Understand enquiry sources, data flows, quoting methods, follow-up cadence, and the most time-consuming manual steps.

02

Phased Implementation

Based on actual priorities, bring WhatsApp, CRM, quoting, or other automation components online incrementally.

03

Continuous Optimisation

Monitor real usage, update the knowledge base, rules, and handoff arrangements to make the workflow progressively more reliable.

WhatsApp Us