Enterprise AI Transformation · Forward Deployed Engineering
Make AI part of your workforce.
Make every role worth more.
From diagnosis to deployment, our engineers embed AI into every role — leaner teams, faster work, clearer numbers.
Serving tourism, manufacturing, consumer, trade, services and education
- Leaner teams · cost
- Faster work · efficiency
- Clearer numbers · visibility
- → A stronger edge
Brand film
BOOK.AI in two minutes
People judge, AI executes. Sales, operations and supply chain — taken apart one department at a time.
The problem
Everyone talks about AI. Few have put it to work.
Owners don't care how big the model is. They want to know what work can be handed off, how much it saves, and how soon.
Labor costs keep climbing
Wages, social insurance, hiring and churn all go up — and execution roles keep multiplying.
Silos and hand-typed reports
Numbers reach the boss a week late, and no two departments count the same way.
Tools nobody uses
Licenses pile up, teams never adopt them, and AI never leaves the demo.
Outcomes
Leaner teams. Faster work. Clearer numbers.
We don't talk model specs. We talk about these three things.
Leaner teams
Hand repetitive execution work to AI employees
Customer replies, reconciliation, reports, data entry, scheduling, first drafts — we break every role into tasks and hand off what AI can do. Your people move up to directing AI, and headcount adjusts gradually through attrition, hiring freezes and redeployment.
Labor cost ↓ Sample: −27% (theme park model)
Learn more →
Faster work
One super AI workbench that speeds up everyone
Owners, sales, data, finance and HR each get an AI view: numbers roll up on their own, exceptions get flagged, and meeting notes and action items track themselves. Less back-and-forth, more output per person.
Internal comms hours ↓ Sample: ~1,955 hrs/mo (same model)
Learn more →
Clearer numbers
Every number traceable, every step visible
The operating cockpit puts actuals, targets, gaps and owners on one screen — click any number to see where it came from. No more waiting for month-end: the whole company is on your phone every Monday morning.
Traceable cockpit numbers — target: 100%
Learn more →By department
What each department hands to AI — and who does it
HR, finance, operations, sales, supply chain, management and content — one at a time.
Work handed to AI
Job posts and resume screening, onboarding paperwork, payroll and social-insurance drafts, policy Q&A, training and exams
AI employees
HR Ops AgentPolicy & Training Agent
Result
HR moves from paperwork to people. Sample: HR & admin 5 → 2 (modeled)
Work handed to AI
Automatic reconciliation across POS, payments and bank, receipt recognition, voucher and report drafts, cash plans
AI employees
Reconciliation AgentContract Review Agent
Result
Every daily variance caught; people still approve every payment. Sample: finance 6 → 3 (modeled)
Work handed to AI
Voice/photo-to-log for frontline staff, shift handovers, ticket routing and follow-up, equipment monitoring, draft rosters
AI employees
Field Log AgentTicket Router AgentMonitoring AgentScheduling Agent
Result
Frontline staff fill fewer forms and do more real work; exceptions reach owners instantly
Work handed to AI
24/7 answers to standard enquiries, quote and contract drafts, channel price checks, order confirmations, weekly reports
AI employees
Customer Q&A AgentChannel & Order AgentContract Review AgentReporting Agent
Result
Salespeople spend their time on visits and deals. Sample: sales admin 5 → 2 (modeled)
Work handed to AI
Demand forecasts and replenishment, purchase orders and supplier reconciliation, stock counts, shipment tracking
AI employees
Replenishment AgentSupplier Reconciliation AgentShipment Tracker Agent
Result
Less stock and fewer stock-outs.
Work handed to AI
Operating cockpit, meeting minutes and action tracking, board-report drafts, cross-department reporting
AI employees
Cockpit AgentReporting Agent
Result
Same leadership team, faster decisions; 100% traceable numbers (target)
Work handed to AI
Multi-platform copy, short-video scripts, poster variants, campaign ideas, ad-law and AI-label pre-checks
AI employees
Content AgentCompliance Check Agent
Result
Several times the content output with zero compliance issues. Sample: content team 5 → 2 (modeled)
In every role: people judge, AI executes.
AI executes
AI does it; people spot-check and approve exceptions (daily reports, standard replies, ticket logging)
AI assists
AI drafts and prompts; people execute and finalize (quotes, reconciliation, rosters)
Human core
People do it; AI stays out (on-site service, negotiation, safety calls, sign-offs)
Industries
Where AI starts in your industry
Role breakdowns, department agents and workbench views for 14 industries.
Manufacturing & industrial
Discrete and process manufacturing
Scheduling & Materials AgentQC Records AgentMonitoring Agent
See playbook →E-commerce & new retail
Marketplaces, private traffic and instant retail
Listing & Pricing AgentCustomer Q&A AgentAds Diagnosis Agent
See playbook →Tourism, attractions & hotels
Theme parks, scenic areas, hotels and resorts
Guest Q&A AgentScheduling AgentChannel & Order Agent
See playbook →Consumer brands
F&B, beauty, home and personal care
Content AgentCompliance Check AgentChannel & Order Agent
See playbook →Trade, supply chain & logistics
Export trade, forwarding, warehousing, transport
Enquiry Reply AgentDocumentation AgentCustoms Check Agent
See playbook →Tax, legal & advisory
Accounting and law firms, consulting
Contract Review AgentReport Drafting AgentKnowledge Q&A Agent
See playbook →Education & training
Vocational, enrichment and corporate training
Admissions AgentTimetabling AgentCourseware Agent
See playbook →Financial services
Banking, insurance, securities and asset management
Compliance Check AgentRisk File AgentCustomer Q&A Agent
See playbook →Super AI Workbench
One workbench for every corner of the company
Owner, sales, data, finance and HR each get their own AI view — plugged into the systems you already run.
- Cockpit
- AI employees
- Workflows
- Knowledge
- Audit log
AI task completion by department (illustrative)
AI assistant · Monday briefing
- Operating cockpit: revenue, cost, output — actual / target / gap
- Automatic Monday briefing with variance notes
- Meeting minutes and action follow-up
- Monthly AI review: usage, quality, spend, real savings
AI task completion by department (illustrative)
AI assistant · Monday briefing
- Leads and customer lists organized automatically
- Quote/contract drafts with risk flags
- Channel price consistency checks
- Collection and reconciliation reminders
AI task completion by department (illustrative)
AI assistant · Monday briefing
- Automatic data roll-up and cleansing
- Report drafts with gaps and anomalies flagged
- One place for metric definitions
- Ask-your-data with sources
AI task completion by department (illustrative)
AI assistant · Monday briefing
- Daily variance list
- Voucher and report drafts
- Cash plan drafts
- Zero automated payments or filings (human sign-off)
AI task completion by department (illustrative)
AI assistant · Monday briefing
- Hiring funnel and screening suggestions
- Payroll and benefits drafts for review
- Headcount and productivity board
- Policy Q&A and AI coaching
How we deliver
Three phases. One year. AI in every role.
Our engineers move in: first we run the numbers, then we build the AI employees, then we stay until your team uses them.
Discover
Month 0–1 (diagnostic 2–3 weeks)
You get: One clear picture: what goes to AI, what it saves, when it pays back, and where the risks are.
What we do
- On-site interviews with owners and department heads; map the org chart and headcount
- Break each role into tasks and time share; score every role for AI impact
- Model each work pool: hours AI can absorb, process changes, capacity and shift coverage
- Cost before vs. after, AI spend, payback and scenarios
What you receive
- AI Transformation Target-Org & Labor-Cost Report
- Role-by-role diagnostic
- AI employee list by department, prioritized
- Pilot scope and acceptance metrics
Build
Months 1–4 (incl. 90-day pilot)
You get: Within 90 days, one department is live — with real data on what it saved.
What we do
- Design AI employees per department: capability, trigger, input, output, human checkpoints, fallback, KPIs
- Run a 90-day pilot in 1–2 departments, in parallel with the old process
- Integrate into the super AI workbench and your existing DingTalk, WeCom, Feishu, Yonyou, Kingdee systems
- Set human gates: payments, approvals and safety calls are never automated
What you receive
- An AI employee spec sheet for every agent
- The super AI workbench (private or dedicated cloud)
- Integration list and permission audit
- Weekly pilot reports on quality, hours and compliance
Adopt & improve
Months 4–12, then ongoing
You get: A year on, AI is part of everyday work — and savings are counted only when spending actually falls.
What we do
- Role-by-role training and AI coaching until people actually use it
- Expand pool by pool: headcount changes only after 8+ weeks of measured results
- Appoint an AI operations & knowledge owner
- Monthly review; roll back if any guardrail is missed
What you receive
- Training kits, question banks and assessment records
- Pool-by-pool acceptance reports
- Monthly AI transformation review
- Iteration and rollback playbook
- Month 0–1Diagnose
- Month 1–390-day pilot
- Month 4–9Scale out
- Month 4–12Pool-by-pool rollout
- Month 12+Monthly review
Deliverables
What you'll walk away with
Every phase ends with something you can hold, read and take into a board meeting.
Diagnostic & cost report
Target org, labor cost before/after, payback, scenarios and sensitivity
AI employee catalogue
Capability, triggers, inputs/outputs, human checkpoints, fallback and KPIs for every agent
Super AI workbench
Owner/sales/data/finance/HR views, connected to your systems
Role-based training kits
Courseware, question banks, AI coaching, assessment records
Iteration & rollback playbook
Monthly reviews, acceptance and rollback conditions
Case studies
They've already put AI to work
AI-generatedSample caseTourism & leisure
A theme park in southwest China (sample)
“Guest service used to be three silos. Now one person handles most guest questions — and I see the whole park on my phone every Monday.”— Project lead (sample quote)
AI-generatedSample caseManufacturing
A furniture manufacturer in east China (sample)
“Quotes went from two days to two hours. Our sales team finally has time to visit customers.”— Chairman (sample quote)
AI-generatedSample caseConsumer brand
A consumer brand in south China (sample)
“Same team, three times the content — and fewer complaints.”— Founder (sample quote)
All cases above are samples modeled on a reference report’s framework — not real clients. Replace with authorized real cases before launch.
Why BOOK.AI
We don't sell tools. We put AI to work in every role.
On site, not off the shelf
Our engineers work inside your company until AI is actually in use.
Savings you can audit
From tasks to hours to cost, every figure is traceable — and only real spending cuts count.
People stay in charge
Payments, approvals and safety calls stay human. Miss a guardrail and we roll back.
Domestic models, private deployment
Your data stays inside your perimeter, and you're never locked into one model.
Savings estimator
How much could your company save in a year?
Enter four numbers and get a ballpark in 30 seconds. For a role-by-role model, book the free diagnostic.
Method (same as the diagnostic report)
- Monthly labor cost = salary × headcount × (1 + employer burden 25%)
- Share of hours AI can absorb: a range by industry (illustrative coefficients, calibrated with your data in the diagnostic)
- Net annual saving = absorbable hours × hourly cost − annual AI spend (illustrative: 20% of gross)
Results are an illustrative range, not a commitment.
Integrations
Works with the systems you already use
No new software to learn. AI employees work inside DingTalk, WeCom and Feishu, and read and write data in Yonyou, Kingdee, CRM and ERP.
- DingTalk
- WeCom
- Feishu
- Yonyou
- Kingdee
- CRM
- ERP
- OA
- HR / attendance
- POS
- Ticketing / OTA
- Bank statements
- Mini-programs / Official Accounts
- IoT sensors
Third-party names shown as text; trademarks belong to their owners.
Domestic · private · compliant
Your data stays home. AI stays in its lane.
Domestic models
Mainstream domestic and open-source models; contracts never lock you into one model
Private / dedicated cloud
Deploy in your data center or a dedicated domestic cloud; data stays in your perimeter
MLPS 2.0
Designed to MLPS Level 3 requirements
PIPL · Data Security Law
Minimum necessary, notice and consent, deletion and correction; tiered access to employee and customer data
AI content labels
External AI-generated content labeled explicitly and implicitly per national rules
Full audit trail
Every AI write action logged, traceable and reversible
An AI roadmap you can act on — in 14 days
Free diagnostic: on-site interviews, role-by-role AI scoring and a cost model. Run the numbers first, then decide.
FAQ
What owners ask us most
Still have questions? Book a free diagnostic and talk to us.
We never use AI as a reason to terminate contracts. Headcount changes happen gradually through attrition, hiring freezes, redeployment and role merges — and only after 8+ weeks of measured results. Most people move up to directing AI.
A diagnostic report in 2–3 weeks, a live pilot within 90 days, and a company-wide program in about 12 months.
Pricing depends on company size and scope. The diagnostic models AI spend, one-off costs and payback month before you commit.
Domestic models and private deployment keep data in your perimeter. Built to MLPS 2.0 and PIPL requirements, with every AI action audited.
Our engineers train and coach each role on site until adoption sticks, and we review usage every month.
No. AI employees plug into your existing systems and are managed in one workbench.