Many scenarios, unclear priority
Different roles expect different things from AI. Inputs, outputs, frequency, and owners go on one table to find the work worth doing first.
XUNYE Services · AI TRANSFORMATION
AI Transformation
Turn the direction of AI into working capability across the organization.
XUNYE enters projects on the business floor, mapping processes, information, and key judgments to find the work AI should take on. The service covers scenario planning, application build-out, launch validation, and team adoption — scope is set together with your business goals.
The problems
Direction, process, and adoption have to land together.
Most AI efforts stall between a pilot and daily work. We start from why.
Tools tried, process untouched
One-off generation helps, but material transfer, confirmation, and saving still need to enter daily collaboration.
Launched, then unmaintained
Who maintains material, who handles issues, and how changes are checked must be agreed alongside the build.
Engagement path
From shared understanding to capability you can hand over.
Delivery scope follows the business goal — start with diagnosis and planning, or cover the full implementation.
Business mapping
Process and scenario list
Application design
Roadmap and acceptance bar
Build & validation
Working system, verification records
Team adoption
Operating guides, maintenance plan
Scope
Business, systems, and team enter the design together.
Deliverables can include a process and issue list, a prioritized roadmap, the agreed application system, acceptance records, operating guides, and a maintenance plan.
Business mapping
Understand inputs, outputs, frequency, and owners; surface repeated work, information gaps, and judgment dependencies into a prioritized scenario list.
Application design
Fix required material, tool connections, and collaboration; draw the line between AI execution and human confirmation; turn expected effect into checkable acceptance.
System implementation
Combine products, knowledge bases, agents, and workflows; validate key steps in the agreed environment, then launch and hand over.
Team adoption
Train on role tasks; agree material maintenance, issue handling, and daily ownership so the system settles into a steady rhythm.
FAQ
Using this, and working together.
01Do we need to pick a model first?
No. We start from business requirements, data conditions, and the runtime environment, then choose suitable models and tools. Existing technology investments can be folded in.
02Must we buy XUNYE products first?
No. Products and services work independently. Depending on your base, we use ready-made products, custom applications, or a combination.
03How do we keep working after launch?
Ongoing maintenance, usage support, and iteration can be agreed, or we hand over to your in-house team. Ownership of systems, data, and response scope is fixed before delivery.
04How is the first phase scoped?
We compare candidate scenarios by business value, input material, frequency, system conditions, and owners — then write down deliverables and acceptance for the chosen scenarios before sequencing.
Make AI a force that moves your business forward.
Learn about products, discuss a project, or explore a partnership — we would love to hear from you.