Technology and professional services with high integration expectations
San Francisco's Chinese businesses tend toward professional services, technology suppliers and importers serving a technically demanding customer base. Buyers judge completeness against well-built SaaS products, so a slow-loading site or a portal that requires repeated manual entry directly affects whether the conversation continues.
These are the operating conditions we see in this city, and they decide where the system should start.
Integration matters more than breadth. Connecting payment, accounting and communication tools usually removes more daily work than adding another module.
The California Consumer Privacy Act applies to customer data. Accessibility expectations are high, and forms must be usable with a screen reader.
These requirements shape data structures, page behaviour and deployment. Each is confirmed at solution stage; formal legal advice should be confirmed with a local adviser.
The services below have delivery records in this city and follow the same process, with milestones and acceptance items agreed before work starts.
North American clients expect AI to be controllable: sources visible, human takeover available, customer data handled with care. We prioritise three scenarios: first-line multilingual service triage, field extraction from invoices and shipping documents, and retrieval over internal policy and product knowledge. A benchmark question set is built before launch, and measured accuracy is recorded in the delivery report.
Chinese-owned businesses in North America frequently operate entities on both sides of the Pacific, settle in USD and RMB, and face differing state sales tax rules. The system calculates multi-entity accounting, exchange rates, sales tax, platform commissions and refund splits item by item, reducing manual journal adjustments each month. We usually implement orders and funds first, then extend to inventory and staffing.
The projects below took place in this city or served clients here, with background, deliverables and outcome stated for each.
Client: Furniture brand in Los Angeles (family-owned, name withheld under NDA)
Acquisition depended on third-party marketplaces with rising commissions and advertising costs. The original template site could not carry the dimensions, materials and delivery terms of large furniture, so customers asked repeatedly before ordering and service cost stayed high. Product data was unstructured, which limited both search and advertising precision.
The site moved from a catalogue to a revenue channel: standardised product fields reduced repeat enquiries, advertising could split landing pages by category and scenario, and content updates no longer depended on an agency.
Client: Chinese restaurant group in New York (six locations, Chinese founding team)
Each location used a different ordering tool and loyalty points did not transfer. Delivery platforms took a high commission while the in-house ordering experience was poor. Head office had no consolidated view of dish sales or margin, and purchasing relied on store managers’ judgement.
Six locations now share one menu and one loyalty programme, and head office can see per-store margin daily. With a larger share of orders placed directly, dependence on platforms fell and promotions could be scheduled on the company’s own terms.
Client: Chinese real estate brokerage team in the San Francisco Bay Area (20+ agents)
Listings arrived from multiple MLS feeds and developers in inconsistent formats. Client follow-up lived in individual agents’ WeChat and spreadsheets, so clients were lost when an agent left. The website listing pages lagged behind, and clients lost confidence on seeing sold properties still advertised.
Listing status and the public website stay consistent, so clients no longer ask whether a property is still available. Client records moved from individual hands into a team asset, and staff turnover no longer takes the relationship with it.
Yes. Public APIs are used first, with their documentation included in the handover; where no public API exists, scheduled data exchange is set up as agreed.
A retrieval-augmented approach is used: answers carry the source document and passage, the response states clearly when no basis is found in the knowledge base, and the question can be handed to a person.
Client structures differ between cities in the same region; choose the delivery experience closest to you.
