AI IMPLEMENTATION FOR OPERATIONS

AI that fits the way your team already works

Xingqi Technology helps companies move from scattered AI experiments to working systems: scoped use cases, clean knowledge sources, agent workflows, system integration, acceptance tests, and ongoing review.

6delivery stages
4service lines
12+repeatable scenarios
What We Do

We turn model capability into operating procedures

Most AI projects fail when they stay outside daily work. We design around source data, access control, review steps, handoff rules, and the metrics your team can actually track.

Enterprise AI

Knowledge bases, internal assistants, agent workflows, document automation, and business analysis tools.

AI for ecommerce

SKU content, campaign scripts, customer service answers, review analysis, and operating dashboards.

AI for cross-border teams

Localization workflows, multilingual FAQ, platform rules, compliance knowledge, and global support.

Product authenticity review

Evidence-based product status checks using images, codes, batches, channels, prices, and logistics records.

Delivery Flow

A standard process for practical AI rollout

The goal is not to ship a demo. The goal is to make the first use case reliable enough for real teams to use and improve.

01

Workflow review

Map tasks, roles, inputs, exceptions, and the cost of current manual work.

02

Data check

Review documents, systems, permissions, and source quality before building.

03

Architecture

Define RAG, agents, tools, review steps, integrations, and acceptance tests.

04

Pilot

Use real samples to test accuracy, control, handoff, and user experience.

05

Launch

Connect the workflow, configure logs, access control, and fallback handling.

06

Operate

Track usage, errors, handoff rate, response time, and business outcomes.

Case Patterns

Typical projects we can start with

Read cases →
Enterprise AI knowledge base

Manufacturer knowledge base

Turn manuals, proposals, service tickets, and training notes into a source-backed assistant for sales and support.

AI ecommerce workflow

Ecommerce content workflow

Use SKU data, campaign plans, and support records to produce consistent listing content and customer replies.

Cross-border AI operation

Cross-border localization

Build terminology, local content rules, platform templates, and multilingual support knowledge for global teams.

Start With One Workflow

Bring one real workflow. We will help scope the first AI pilot.

Share your industry, team size, systems, and the manual work that slows you down.

Book a diagnostic call