YZ-Shield builds custom AI applications and business systems for companies handling large volumes of orders, reservations and service delivery. We connect existing information, rules and systems to reduce repeated searches, data entry and follow-ups, so every step is recorded, confirmable and traceable.
For teams with frequent customer inquiries, complex reservations, repeated data entry and cross-role handoffs dependent on group chats.
Customer messages are in chat tools, orders in business systems, and policies in documents. Staff must switch between them to confirm whether a refund is possible, tickets are available, or a request has progressed.
Dates, party size, room types, seats, inventory, preferences and change rules are scattered across different places. Missing any one condition can affect the final arrangement.
Information in contracts, identity documents, images, spreadsheets and chat histories must be repeatedly copied, organized and entered. This takes time and makes omissions easy.
Sales, operations, service delivery and finance keep separate records. After a handoff, there is no shared view of who is responsible, what is missing or whether the work is complete.
You do not need to decide whether you need AI, automation or a business system first. See which scenario is closest to your team's work.
Handle customer inquiries, order lookups, policy checks and after-sales follow-up together to reduce missed replies and repeated searches.
See how this scenario is handled →SCENARIO / 02Check dates, quantities, preferences, inventory and business rules together to identify arrangements that can actually be delivered.
See how this scenario is handled →SCENARIO / 03Extract information from documents, images and spreadsheets to fill forms, prepare materials and generate lists of items requiring confirmation.
See how this scenario is handled →SCENARIO / 04Connect orders, tasks, revenue, costs and approval records to make business progress and operating results clearer.
See how this scenario is handled →You do not need a complete technical plan first. Confirm the rules, information and system conditions, validate feasibility with anonymized examples, then decide whether to proceed with development.
Explain who is doing what now, where the information is, and which step takes the most time.
Use representative business examples to test whether the system can correctly understand, search, process and hand off work.
Build features within the confirmed scope, connect existing systems and define the division of work between people and the system.
Start with limited use, adjust rules, permissions and workflows based on real feedback, then expand gradually.
Before the system acts, clarify inventory, allocation, approvals and completion criteria.
Sources, query records and processing steps can be reviewed for important replies and results.
When information is missing, rules conflict or permissions are insufficient, the system does not force a judgment: it passes the issue to the appropriate person.
Configure visibility and operations according to agreed role permissions, and retain records of important actions.