On-site FDE delivery · QwenWork / WorkBuddy / Doubao Office

Make AI office tools truly work in your company

Our engineers go on site and, in 90 days, turn platform capabilities into workflows used every day with quantifiable returns. AI upgrades for DingTalk, Feishu (Lark) and WeCom.

Book an FDE consultation Free maturity self-assessment

Assess first, then investQuantified acceptance throughoutVendor-neutral selection

Weekly adoption rate

+28.6%

Weihuoli delivery desk

AI rollout progress

In progress · Day 36

High-value use cases

68%

Weekly active staff

4.7h

Saved per person

Current delivery track

3 / 4 done

Business modelingHow does the business actually work?
Solution and executor designWhere exactly are the problems, and how should work be done in the future?
Lightweight application validationDoes this new method actually work in practice?
4Engineering · Productization · OperationsHow do we run it in production, productize it and deliver business results?

90-day acceptance goal

From "some people use it" to "the organization runs on it"

198

Industry cases & use cases

Industries covered

90 days

Full rollout cycle

Why you need a rollout method

The real challenges start after the accounts are set up

Employees don't know how to use it

They only ask questions and never have it deliver finished work; after two weeks they're back to the old way.

Data can't be trusted

Inconsistent definitions and mismatched master data mean no one dares use the numbers AI produces.

It can't get into the systems

It can't connect to ERP or approval workflows, so its capabilities stay stuck in the chat box.

Experience doesn't stick

Good practices stay with individuals and are lost when people change.

This is exactly the gap an FDE (Forward Deployed Engineer) fills: engineers go on site and turn platform capabilities into workflows used every day.

What is an FDE

FDEs work on the client's site, moving "uncertain business problems" toward AI applications that are "verifiable, runnable and reusable."

What it determines is not "how much customization," but who absorbs the complexity and how it's captured.

How FDE differs from implementation, consulting and development

Traditional implementation / delivery engineer	Requirements are usually set; an FDE must first define the problem
Business consultant	Usually stops at the proposal; an FDE validates and delivers
Software engineer	Focuses on "building it right"; an FDE also judges "what to build and whether it's worth it"
Product manager	Serves many clients; an FDE is embedded at one client's site and feeds lessons back into the product

Supported platforms

Three AI office tools × three collaboration platforms

We recommend a combination based on your existing collaboration platform and where your data lives—no lock-in to a single vendor.

QwQwenWork FDE AlibabaDigital employees that deliver through conversation; DingTalk-native and Xinchuang-friendly WoWorkBuddy FDE TencentA desktop office agent deeply interoperable with WeCom DoDoubao Office FDE ByteDanceA Feishu-native work partner with multi-Agent collaboration

Recommendations by current collaboration platform

Current platform	Top pick	Alternative
DingTalk	QwenWork	—
Feishu (Lark)	Doubao Office	QwenWork (multi-platform access)
WeCom	WorkBuddy	QwenWork

Vendor-neutral: single-platform or mixed (e.g., Feishu internally, WeCom for external contacts).

FDE methodology

6 phases, 17 steps, each with exit criteria

If the exit criteria aren't met, you don't move on to the next step.

View the 17-step methodology

1Step 1–4
Business modeling
How does the business actually work?
2Step 5–8
Solution and executor design
Where are the problems, and how should work be done in the future?
3Step 9–12
Lightweight application validation
Does the new method actually work in practice?
4Step 13
Engineering
How do validated capabilities run in production?
5Step 14–15
Productization
How do we package it into a sellable, sustainable product?
6Step 16–17
Product operations
How do we put it back into the business model to produce business results?

90-day rollout roadmap

Four stages—pass each gate before moving to the next

View roadmap & maturity model

Weeks 1–2

01Pilot preparation

Edition selection and procurement
SSO + org sync
Security and model policies
Pick 2 pilot departments

Gate: Seed users in place

Weeks 3–6

02Use-case validation

3–5 high-frequency use cases
Collaboration platform + scheduled tasks
ERP read-only access
Record time spent before and after

Gate: Time savings are quantifiable

Weeks 7–10

03Codify and scale

Turn SOPs into Skills
Package Expert Suites
Publish in the enterprise console
Roll out to all departments

Gate: ≥ 3 Skills per department

Weeks 11–13

04Deep integration

ERP writes + intercept-and-confirm
In-house agents connected via MCP
Data quality inspections
Management review

Gate: Management sign-off

Quantified data from stage two is the basis for requesting a full rollout.

Proven results

From data all the way to management actions with acceptance metrics

+5% / +6%

E-commerce pre-sales inquiry conversion / customer service productivity

Weihuoli delivery · Reportdance

−42%

Order delivery delay rate across 9 countries

Led by Weihuoli's founder · Global supply chain project

2h→10min

Securities pre-market preparation

Ecosystem case · QwenWork Challenge

160→3min

Workshop morning-meeting PPT preparation

Ecosystem case · QwenWork Challenge

"Weihuoli delivery" cases are our own projects (client information anonymized); "ecosystem cases" come from public entries in the QwenWork AI Productivity Challenge, with copyright held by the original authors.

Industry case library

See how your peers did it

Our own delivery cases, public ecosystem cases and use-case templates are labeled separately. Full text and originals are available once access is granted.

Browse all 198 cases

Public ecosystem caseFinance· L5 Automate

投研 · 投管 · 投监三位一体 AI 工作台

覆盖权益投资事前研究、事中管理、事后监控全流程的 AI 实践：一套行业板块研究分析系统、一套投资事中管理 SKILL 套件、一块投资交易监控看板，仅用于技术交流非所在机构对外输出的产品或系统。展示内容为外部资讯数据和模拟数据，不构成投资建议、荐股或交易指令，不代表所在机构及QwenWork官方立场。

盘前准备2h→10min日终限额监控2h→5min(-96%)

Public ecosystem caseTransportation & Logistics· L2 Deliver