We deliver applied AI systems, workflow upgrades, and the software around them for growing companies. From scoping and proof of concept to tuning and launch support, we ship production systems with full source handover.
DELIVERY MANIFESTO · 2026
These four tracks answer one practical question: how to fit AI into existing systems and keep improving it after go-live. Their order reflects where delivery demand has been strongest lately.
We build production AI products for live operations: knowledge assistants, copilots, support automation, content workflows, and analysis tools.
We retrofit AI into operations, customer support, sales, and quality flows so existing systems can run with AI inside the loop.
We build the surrounding web apps, dashboards, mini-programs, and operations systems that make AI usable in day-to-day work.
We deliver reusable source packages for AI assistants, knowledge systems, and SaaS operations so teams can start from a working base instead of rebuilding everything.
The stack reveals each case in sequence: problem, solution, value, and delivery signal.
Browse five representative cases with the problem, delivery approach, and outcome in one view.
Repeated support load dropped and the team turned static documentation into reusable AI-ready knowledge.
Defects surfaced earlier, audit trails became usable, and quality owners could see line performance in real time.
Standard questions are answered automatically, complex issues enter the ticket queue, and managers can review recurring issues to improve the knowledge base.
Service delivery is standardized with traceable records for nurses, users, and the platform, supporting category expansion.
The platform can run merchant onboarding and operations centrally while merchants manage their own products and orders, with rule-based commission and reconciliation.
This is built for companies that want AI in production, want the source code in hand, and expect to keep iterating after launch.
We wire models, retrieval, agents, and automation into real systems and stay accountable for output quality and operating cost.
30+ systemsdeliversWe hand over the application code, prompt systems, and surrounding business logic so your team can keep extending it later.
ZIP / GitshipsWe keep communication direct, work in short loops, and run the same delivery cadence for remote teams across Asia.
APACopsTechnical leads stay in the conversation and help you make grounded calls on feasibility, budget, and rollout timing.
1 × 1pairWe clarify the business outcome, the available data, the likely model stack, and what AI should or should not own.
We break down prompts, retrieval, agent logic, and integration points into a workable proof of concept.
We connect models, tune outcomes, build the surrounding application layer, and hand over deployment-ready source code.
After launch we monitor quality, refine prompts and data, and support the next layer of extension work.
Notes on applied AI development, enterprise transformation, delivery methods, and case reviews.
Founded in 2016, Chengshi focuses on mobile internet application development, applied AI integration, apps, WeChat official accounts, mini programs, websites, and reusable industry software systems.
Its self-developed mobile healthcare platform Anxinhu covers nurse home visits, chronic disease care, home-based elderly care, and related information services.
Reusable systems across commerce, local services, crowdsourcing, operations, and AI tools can be delivered as source packages or customized builds.
AI Q&A, image generation, rewriting, and business-system integration.
Multi-merchant, single-store, distribution, rebate, short-video commerce, and group-buy systems.
Delivery, errands, booking, home services, medical care, escort care, and driver dispatch systems.
Payment, verification, reviews, points, settlement, commission, flexible labor, and operations systems.
Task bounty, crowdsourcing, part-time work, community services, gaming companion, and shared device platforms.
Product, design, frontend, backend, mobile, AI, QA, and operations work together with clear ownership from scoping to launch.
Principal / Delivery Lead
Product Planning
AI Application Development
Backend Architecture
Web / H5 / Admin
App / Mini Program
Quality Assurance
Deployment & Security
You do not need a polished brief. Share the business goal, the current system, and the timeline you have in mind, and we will help judge whether the right shape is an assistant, a knowledge system, an AI workflow, or a source-ready build.
