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XUNYE Services · CUSTOM AGENTS & WORKFLOWS

Custom Agents & Workflows

Organize business rules and tools into applications that can execute.

Around your existing processes we connect knowledge, data, and tools to build agents and workflows that own concrete tasks. From document handling to cross-system coordination, every step has named inputs, outputs, and owners.

The problems

Hand one task to a set of capabilities that work together.

Chat windows are not a workplace. The work needs a system that carries it.

01

Material re-explained every time

The same background scattered across files and chats, re-found at every step — the agent should hold it once.

02

Results stuck in chat

After an answer is generated, someone still copies, checks, and back-fills. Applications need to reach where work lands.

03

Exceptions without a handoff

When data is missing, conflicting, or an action exceeds scope, the work needs a defined stopping point and owner.

Engagement path

Each step has inputs — and outputs you can check.

What we build ranges from knowledge assistants to multi-step project helpers.

Engagement & delivery path · scope agreed per project
01

Inputs & basis

Material · rules · authorization

02

Task processing

Organize · analyze · draft

03

Check & confirm

Rule checks · human judgment

04

System output

Deliver · write back · keep records

Failed check → fix the original step · authorization needed → wait for the owner's confirmation.

Scope

What we build, and how it runs.

Delivery can cover knowledge-organizing rules, task flows, system connections, interfaces, key-task validation, and operating guides — standalone or inside your existing tools.

01

Knowledge & rules

Assemble the material, terminology, handling standards, and exceptions the task needs, so the application works from relevant evidence.

02

Roles & steps

Divide organizing, analysis, execution, and checking. Stable steps run as fixed flows; steps that need reading and judgment get AI roles.

03

Connections

Access documents, sheets, and business systems within authorization — limiting readable data and allowed actions, and fixing where output is saved.

04

Operations & handover

Configure state records, human checkpoints, and exception handling; validate on agreed tasks, then maintain within scope.

FAQ

Using this, and working together.

01

How far can an agent act on its own?

As far as the task's authorization allows. Reading, drafting, editing, and external submission can carry different permissions; important judgments or irreversible actions get human checkpoints.

02

How is this different from a ready-made chat tool?

A custom project handles your material, processes, tool connections, and operating responsibilities together, so AI output lands in a defined step of work — not in a chat transcript.

03

What should the company prepare?

Together we define task samples, required material, business rules, allowed tool actions, and where results are saved. Gaps are listed rather than papered over.

04

Fixed workflow or agent — how do we choose?

Steps with clear branches and rule-checkable results fit fixed flows; parts needing reading, drafting, or comparing get AI roles. One application can combine both.

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.