Industry · Development sales, property management, leasing

Real estate & property

Sales office, work orders and leasing — AI employees on duty 24/7.

Book an industry diagnostic →See the sample case

Pain points

What keeps owners up at night

Sales enquiries peak on weekends and evenings

Repair tickets are routed and followed up by hand

Leases, bills and renewals are managed in silos

Project numbers travel up layer by layer, inconsistently

Roles

Which roles AI transforms, and which it augments

“Transform”: AI executes, people spot-check. “Augment”: AI drafts and prompts, people decide.

Role	Mode	What AI does / what people keep
Sales office assistant	Augment	AI answers first questions, logs visits and scores leads
Property service desk	Transform	AI takes repair requests, routes and follows up
Maintenance dispatch	Augment	AI rolls up inspections and tickets
Leasing admin	Augment	AI drafts leases, bills and renewal reminders
Project reporting	Transform	Project reports generated automatically

Department agents

AI employees we typically deploy

Sales Office AgentTicket Router AgentLeasing AgentContract Review AgentCockpit Agent

Super AI Workbench

Project operations board: the workbench for this industry

Demo UI with placeholder numbers.

BOOK.AI · Project operations boardDemo UI · placeholder numbers

Cockpit
AI employees
Workflows
Knowledge
Audit log

Revenue¥ ——

Labor cost¥ ——

Output / person——

Open exceptions——

AI task completion by department (illustrative)

Sales

Ops

Finance

Supply

AI assistant · Monday briefing

Visits, subscriptions, contracts
Work orders: time, satisfaction, overdue alerts
Leasing: occupancy, renewals, arrears
One standard across all projects

Sample case

How we would approach this industry

Sample scenario · not a real client

A property developer & manager (sample)

This is a sample scenario that illustrates our approach in this industry — not a real client. All results are modeled per company during the diagnostic.

01 Discover (2–3 weeks): map the organization and break down roles such as “Sales office assistant” and “Property service desk” into tasks and time share.
02 Build (90-day pilot): launch Sales Office Agent and Ticket Router Agent in parallel with the existing process.
03 Adopt & improve (months 4–12): extend to Leasing Agent and Contract Review Agent; adjust headcount only after each pool meets its guardrails.

Change in execution labor cost
Change in core process hours
Modeled payback

These metrics are modeled with your company’s real data during the diagnostic.

FDE in practice

Public FDE practice in this industry

Third-party cases from public reports — unrelated to the BOOK.AI sample above — to show how this industry is approaching AI.

Case information is compiled from public reports; figures are as reported by the original sources, and all rights belong to their owners. BOOK.AI was not involved in any of these projects.

Image from the source page: Longfor Group (Qianding Digital) — © Sina Finance / original author; rights reserved by the owner · Image source

Public case · not a BOOK.AI clientReal estate & property · China

Longfor Group (Qianding Digital) × Qianding Digital (in-group tech company)

FDE intensity: MediumIn-house embedded team (AI PM + domain expert)

180+ digital employees rolled out internally; manual audit share from 100% to 17%

As reported by Sina Finance · 2025-09-29 · media report

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Background

Property and real-estate scenarios are labour-intensive; pricing, audit and contract review are slow and risky.

How the FDE work was done

Qianding embedded dual-role teams of AI product managers and business experts, and used training-and-exam agents for tiered training.

Results (as reported by Sina Finance)

180+ digital employees deployed; parking-lot agent cut manual review from 100% to 17%, audit efficiency +83%.

Takeaways

Pairing an AI product manager with a domain expert is a typical in-house FDE structure.

Provider: Qianding Digital (in-group tech company)
Delivery mode: In-house embedded team (AI PM + domain expert)
Region: China

Read the original ↗Original title (Chinese): 龙湖如何用Agent重塑地产与物业的运营方式？|智能体_新浪财经_新浪网

English summary by BOOK.AI; figures as reported by Sina Finance. Quotation marks indicate wording from the source.

Image from the source page: Country Garden Services — © GeekPark; rights reserved by the owner · Image source

Public case · not a BOOK.AI clientReal estate & property · China

Country Garden Services × Tencent Cloud

FDE intensity: MediumCo-build

No figures disclosed (opened to all employees)

As reported by GeekPark · 2025-02 · media report

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Background

Long property-service chains with scattered knowledge; management decisions rely on aggregated data.

How the FDE work was done

Tencent Cloud’s knowledge engine connected the “Yiwen” assistant to DeepSeek, deeply integrated with business knowledge bases and multi-turn clarification.

Results (as reported by GeekPark)

No quantified results disclosed; opened to all employees.

Takeaways

A company-wide knowledge assistant is the lowest-barrier starting point for property firms.

Provider: Tencent Cloud
Delivery mode: Co-build
Region: China

Screenshot of the source page (captured 2026-10-19): Country Garden Services — © GeekPark (page screenshot; content © source) · Image source

Read the original ↗Original title (Chinese): 腾讯云助力碧桂园服务「一问」升级物业行业首个智能助手接入 DeepSeek | 极客公园

English summary by BOOK.AI; figures as reported by GeekPark. Quotation marks indicate wording from the source.

Image from the source page: Onewo (Vanke Service) — © Tencent News / original author; rights reserved by the owner · Image source

Public case · not a BOOK.AI clientReal estate & property · China

Onewo (Vanke Service) × Onewo in-house team

FDE intensity: LightIn-house embedded team

Operations agent on duty in nearly 300 projects; reimbursement 150 → 50 seconds per claim

As reported by Tencent News · 2025-07-20 · media report

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Background

Many projects; anomalies found by manual patrols; reimbursement was cumbersome.

How the FDE work was done

After six months of building, the best-performing agents were picked as “AI employees” and confirmed after a management review.

Results (as reported by Tencent News)

Ops agent live in ~300 projects; reimbursement 150 → 50 s per claim, 90% automated back-end review, efficiency +30%.

Takeaways

A formal “probation review” for AI employees turns deployment into an accountable process.

Provider: Onewo in-house team
Delivery mode: In-house embedded team
Region: China

Screenshot of the source page (captured 2026-10-19): Onewo (Vanke Service) — © Tencent News / original author (page screenshot; content © source) · Image source

Read the original ↗Original title (Chinese): 万物云首批AI员工转正一场组织变革的实验_腾讯新闻

English summary by BOOK.AI; figures as reported by Tencent News. Quotation marks indicate wording from the source.

See public FDE practice across all 14 industries →

An AI roadmap you can act on — in 14 days

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