Let AI become the enterprise's
Operable AI digital employee

Not just answering questions, but understanding tasks, invoking tools, entering processes, and delivering results—an "AI-ized real employee" spanning enterprise systems, operating existing ERP, OA, contract, and other systems on behalf of real people, without changing a single line of original code, with data staying in-domain and private deployment, having already deployed 100+ digital employees in central state-owned enterprises.

  • Spanning enterprise systems
  • Without changing a single line of original code.
  • Data does not leave the domain · Xinchuang adaptation
  • 100+ implemented in central and state-owned enterprises
AI digital employees work collaboratively across enterprise systems, operating ERP, OA, contracts, finance, and other systems on behalf of real people
Full business position coverage — available on demand, ready to work immediatelyReimbursement · Contracts · Form filling · Reports · Invoicing · Recruiting · Customer service · Operations · Overtime and leave · Procurement
Reimbursement reviewCheck item by item according to rules, automatically approve/reject
Contract reviewClause-level comparison, risk points highlighted in red
Intelligent form fillingCross-system data retrieval + validation + submission
Data retrieval reportsGenerate reports across systems with one sentence
Intelligent invoicingAutomatically identify invoicing items and link multiple systems
Recruitment initial screeningResume scoring and ranking, matching profiles
Customer Service7×24 ticket classification, transfer and urging
Business analysisAutomatic report generation for group + second-tier companies
Overtime/leave request formAutomatically fill HR forms with one sentence
Full procurement processProcurement/Contract/Payment/Supplier
VALUE PROPOSITION

Why enterprises are all recruiting AI digital employees for their teams

No work stoppage, fast work, lower costs, and employee upgrading — four dimensions that solve enterprises' common pain points at once.

24×7 non-stop operation

It runs around the clock without fatigue, with stable quality unaffected by personnel fluctuations.

  • Repetitive work completed automatically
  • System monitoring categories are especially effective
  • Stable quality unaffected by personnel fluctuations

20× faster work

Read 200 pages of contracts / review 20 reimbursement forms in 5 minutes, with second-level response.

  • Second-level response, instant processing
  • Efficiency over 20 times that of manual work
  • Batch tasks run to completion in one go

↓ 40% cost reduction and efficiency improvement

Less manpower, higher management efficiency, end-to-end task automation.

  • End-to-end task automation
  • Cost savings are immediate
  • Management efficiency improves simultaneously

Employee Growth

Hand repetitive, brain-draining work to AI digital employees, letting real people do higher-value things.

  • Free up real people to do high-value work
  • Enhancing organizational vitality
  • Free key staff from transactions
HOW IT WORKS

Understandable · Able to judge · Able to collaborate, operating existing systems on behalf of real people

Digital employee ≠ replacing ERP: originally a real person operated ERP; now a real person operates the digital employee, and the digital employee operates the existing systems—spanning systems without changing a single line of code

Underlying capabilities
Large modelRAG retrievalEnterprise knowledge baseInternal control rules engineProcess orchestration
Understandable Perception and Understanding
OCR reads invoice documents
Large model understands business semantics
Understand enterprise policies and templates
Multi-format and multi-system adaptation
Unstructured to structured
Can judge Rules and decisions
Automatic verification of internal control rules
Compliance standard authenticity verification
Risk anomaly identification
Autonomous decision-making by scenario
Uncertain cases are automatically escalated
Can collaborate Execution and Collaboration
Direct Connection Business System Operations
Automatic transfer of anomalies to manual handling
Results and basis are traceable
Division of labor and collaboration with employees
Continuous learning, more accurate with use
1 One-sentence instruction
2 Intent recognition
3 Skill assembly
4 Cross-system data extraction
5 Automatic execution
6 Result write-back
7 Traceable archiving
CORE CAPABILITIES

Eight Core Advantages of Enterprise-level AI Digital Employees

Secure, zero-intrusion, legacy-friendly, beyond RPA, letting AI truly work in your systems

Secure private deployment

The full stack runs on the enterprise intranet, with zero data egress and national cryptographic encryption, meeting state-owned asset supervision and Level 3 classified protection requirements.

Zero-intrusion access

Without changing a single line of original code, without seeking cooperation from the original vendor, and without changing employee login methods, achieving zero-intrusion access to existing systems.

Reuse integration

Directly reuse the large models and agents already deployed by the enterprise, so money already spent is not wasted and investments continue to be used.

Zero new construction

No more buying systems. Directly "grow" AI entry points on existing SAP / OA / ERP.

Beyond RPA

It does not just click according to scripts; it understands, judges, and decides, driving tasks forward autonomously across systems.

Full Xinchuang adaptation

Kunpeng / Phytium / Kylin / UnionTech / Dameng / Kingbase, with Level 3 security protection and searchable in the Xinchuang catalog.

Full lifecycle management

Administrators complete registration / authorization / operations monitoring in one backend, and employees can use it immediately in a browser.

Anomaly rolled back within 5 minutes

Four-eyes approval at high-risk nodes, anomaly alerts plus manual takeover, with the SLA written into the contract.

TYPICAL SCENARIOS

10 typical scenarios, ready to take the job immediately

From finance to operations, from HR to procurement, every position corresponds to real business scenarios that are visible and quantifiable.

Scenario 01 · Reimbursement review

Systems automatically become rules,100 transactions approved in one batch

In the past, regulations were manually reviewed one by one for comparison,Systems scattered across multiple documents with inconsistent standards, with slow batch processing and difficult-to-unify standards.

Administrator Upload policies and they are automatically parsed into runnable rules, check item by item and output clear rejection opinions,100 transactions approved in one batch

Reimbursement review ledger · digital employees on dutyAI review
Reimbursement review digital employees automatically review reimbursement forms and reject over-standard ones
Scenario 02 · Contract review

Clause-level comparison with template and regulations,Automatic risk highlighting

In the past, legal staff read word by word and compared against templates based on experience,Scattered regulations and systems are prone to omission, risk flags scattered in emails and WeChat are difficult to trace.

Upload and Clause-level comparison with template and regulation library, automatic risk highlighting, multi-dimensional verification of compliance, tax, and related-party transactions, with intelligent dispatch, routing, and traceability for abnormal clauses.

Contract compliance reviewer · ReviewingClause level
Contract review digital employee clause-level comparison, automatic risk highlighting in red
Scenario 03 · Intelligent form filling

Cross-system automatic data retrieval and backfilling,Validate before submission

In the past, data was manually checked across systems and forms were manually filled in,Fields are repeatedly entered across multiple systems, making it hard to unify definitions, a wrong entry means rework.

Digital employee Automatically retrieve data across systems and backfill, completeness verification before submission,Missing items exposed in advance, automatically submit and write back the status.

Intelligent form filling · Automatic backfillingCross-system
Intelligent form filling digital employee automatically retrieves and backfills data across systems
Scenario 04 · Data Retrieval Reports

Generate reports with one sentence,Cross-system automatic direct output

In the past, data came from multiple systems and was manually Ctrl+C / Ctrl+V into Excel,Time-consuming and error-prone every month, unable to form a reusable process

One sentence, "generate report X," driven by the large model Cross-system data retrieval, automatic processing and output of finished reports, the process is solidified for one-click reuse.

Data Retrieval Reports · Natural Language DrivenOne sentence
Data Retrieval Reports digital employee generates reports across systems in one sentence
Scenario 05 · Smart Invoicing

Automatically scan contracts to identify invoicing items,Error rate approaching zero

In the past, contract ledgers were manually reviewed to identify invoicing items,Manually filling forms across multiple systems and repeatedly switching tax IDs, with month-end rush invoicing and an error rate of about 3.2%.

System Automatically scan contracts to identify invoicing items, manual work only for final confirmation, multiple platforms linked for automatic invoicing, writing back to project management, pushing to WeCom, and submitting to shared services, all auditable throughout.

AI invoicing digital employee · pending confirmationMulti-system linkage
The AI digital employee for invoicing automatically identifies invoicing items and enables multi-system linked invoicing.
Scenario 06 · Initial Recruitment Screening

Automatic resume scoring and ranking,Good resumes are not buried

In the past, HR flipped through resumes one by one and compared profiles based on experience, which was inefficient,Resumes from multiple channels are scattered and hard to deduplicate, and initial screening standards are inconsistent, good resumes are easily buried.

Digital employee Automatically parse, score and rank by job profile, collect and deduplicate talent pools through multiple channels, and automatically advance and arrange initial interviews for high-match candidates.

AI HR Assistant · Resume ScreeningProfile matching
Recruitment initial screening digital employee automatically scores and ranks resumes and matches profiles
Scenario 07 · Customer Service

7×24 automatic classification, transfer and urging,No missed or delayed orders.

In the past, there were thousands of work orders annually, and multi-channel dispatch relied on multiple people manually,Disposition is time-consuming and prone to missed or delayed orders, and reports still need manual consolidation with long cycles.

Digital employee 7×24 automatic classification, transfer and urging, urgent tickets receive rapid response, routine tickets are completed within a time limit, and service reports are automatically generated and reported at T+1.

Intelligent work order processing · On duty7×24
Customer service digital employees automatically classify, transfer, and follow up on work orders 24/7
Scenario 08 · Business Analysis

1 AI analyst,Service group + all second-tier companies

In the past, multiple analysts manually pieced it together, with a cycle of 5–7 days,Differences in standards, error rate approximately 2%, judgment relies on experience, and new staff take a long time to get up to speed.

1 AI Analyst Service group and all second-tier companies, draft issued D+2, fully automated collection, verification, metric calculation, and report writing, allowing analysts to shift to strategic analysis.

Business activity analysis assistant · DraftingD+2
Business analysis digital employees automatically produce reports for groups and second-tier companies
Scenario 09 · Overtime and Leave

Initiated with one sentence,Auto-fill the HR form

Employees only need one sentence to state their needs—"Help me apply for overtime this Saturday from 9:00 to 18:00 to support the system launch,"AI automatically identifies application type, date, time, overtime hours, leave type, and reason, proactively ask follow-up questions to complete missing information.

Then press Fields in overtime/leave forms in Jiayang HR and other systems are automatically filled in, after employee confirmation, it is submitted, without replacing approval; for formal implementation, API integration is available Personnel, organization, and attendance data, and write applications back to the HR system, forming a complete closed loop.

Smart filling of overtime/leave requests · AI assistantOne sentence
Smart filling assistant for overtime/leave request forms: automatically recognizes and fills HR forms from a single sentence
Scenario 10 · Full Procurement Process

Full non-tender procurement process,One digital employee manages it end to end

Already at A certain large state-owned energy group Implementation covering procurement management, contract management, contract payment, and supplier management Four major modules with 32 business scenarios in total

From procurement approval requests, inquiry and price comparison, and selection filing, to contract drafting, signing, and registration, accounts payable settlement and payment, supplier admission and annual evaluation,Full-process rule-based steps are automatically advanced and reminded by AI digital employees, compliant traceability that withstands audits and inspections.

Full non-tender procurement process · AI digital employee32 scenarios
Digital employee for the full non-tender procurement process: procurement, contracts, payment and suppliers advanced automatically end to end
SEAMLESS INTEGRATION

Spanning enterprise systems, reading and writing in your systems without changing a single line of code

AI digital employees span enterprise systems, read and write in your systems without changing a single line of code

Collaborative Office SystemRead/write: Approval · Documents →
DingTalkDingTalk
FeishuFeishu
WeComWeCom
Weaver OAWeaver OA
Seeyon OASeeyon OA
Landray OALandray OA
Business and finance systemsRead/write: ERP · Finance →
SAPSAP
OracleOracle
Yonyou NCYonyou NC
KingdeeKingdee
InspurInspur
ERPAll types of ERP
CRMCRM
DigiwinDigiwin
AI digital employeeUnderstandable · Able to judge
Can collaborate
Data and knowledge← Data retrieval: Data · Knowledge
Data middle platform
Enterprise knowledge base
Document / OFD
Data warehouse
Business data sources
Open APIOpen API
AI platform foundation← Invocation: Models · Capabilities
Enterprise proprietary large model
MaaS platform
RAG retrieval
Vector database
Agent Platform
Model gateway
SERVICE & DELIVERY

Professional and reliable delivery and service assurance

Private deployment, Xinchuang, on-site support, SLA — covering implementation risks to the fullest

Private deployment
Independent deployment
Data does not leave the domain, internal and external network isolation
Xinchuang
Full-stack localization
Full-stack adaptation, Level 3 classified protection
On-site
Expert co-construction
Chief expert onboarding and co-construction, 48h response
SLA
Anomaly fallback
Anomaly rolled back within 5 minutes, written into the contract
Common Questions
What business areas can AI digital employees cover? Can they only do business-finance-tax?
Not just business-finance-tax, but an "AI-ized real employee" spanning enterprise systems, covering all business positions including finance, operations, contracts, procurement, HR, and customer service. Typical scenarios include expense reimbursement review, contract review, business analysis, intelligent invoicing, intelligent form filling, cross-system data retrieval reports, recruitment pre-screening, and customer service. Any rule-based repetitive position work can be undertaken.
What is the difference from other vendors and from RPA?
Other vendors' digital employees are often just a function within a certain software and can only process data from their own systems; Kailing can perform intelligent processing on IT systems not developed or built by itself, spanning across enterprise systems. Compared with RPA, which only clicks according to scripts, digital employees understand, judge, and make decisions, replacing real people in operating existing systems to complete the work of an entire position.
Do existing ERP/OA/business systems need to be modified? Is the data secure?
No transformation is needed. It replaces real people to operate existing systems, without changing a single line of code, with zero-intrusion access. The full stack runs on the enterprise intranet, data does not leave the domain, models are deployed locally, and the entire operation is traceable. It meets Level 3 of the Multi-Level Protection Scheme and Xinchuang requirements, and supports adaptation to Kunpeng, Phytium, Kylin, UnionTech, Dameng, and Kingbase.
What should be done if a digital employee makes an error?
Mandatory human confirmation at high-risk nodes (human-in-the-loop), automatic alerts for anomalies with support for 5-minute rollback and manual takeover, with the SLA written into the contract; four-eyes approval at key nodes such as finance, contracts, and external communications.
How long is the launch cycle, and how is it implemented?
Standard positions have a 1–2 week trial operation; experts are stationed on-site for co-construction, business and technical teams co-create, first learning the system and historical data, running the pilot through before expansion, collecting feedback within one week of trial use, responding with fine-tuning within 48 hours, and documenting the Position User Manual for one-click inheritance by similar positions.

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