010-6097 4119Book a Demo
Business-savvy, delivers results — understands tasks, calls tools, enters processes, and delivers results, spanning enterprise systems, 24/7 unattended, handing repetitive work to digital colleagues while people only make decisions.
Not just answering questions, but Understand tasks, call tools, enter processes, deliver results——An "AI-ized real employee" spanning enterprise systems, without changing a single line of original code, with data never leaving the domain.
See the relationship clearly in one sentence: originally a real person operated ERP; now a real person operates a digital employee, and the digital employee operates ERP—it is an "AI-ized real employee" responsible for operating existing systems to complete daily affairs.
Retain ultimate responsibility; you can continue working in the traditional way, or "direct" AI digital employees to do the work.
Assists + partially replaces humans, automatically executes tasks per enterprise policies, drives cross-system progress autonomously, and produces deliverables.
The original system remains unchanged, without modifying a single line of code, and continues to carry enterprise processes, with digital employees calling alongside.
Enterprises that have deployed local large models have generally implemented multiple 1.0 agents. To truly use AI from "point to area," it is necessary to upgrade to 2.0 AI digital employees — extending toward "complete positions."
Other vendors' digital employees are just "a function within a certain software" and can only process data from their own systems.Kailing digital employees can intelligently process IT systems not developed or built by us——Spanning enterprise systems—this is the hardest differentiator.
Comprehensive returns from efficiency and cost to organizational development—efficiency × cost × organizational vitality, with triple benefits stacking up.
It runs 24 hours without fatigue, and is especially effective for repetitive work and system monitoring tasks.
Read 200 pages of contracts / review 20 reimbursement forms in 5 minutes, over 20 times more efficient than humans.
Less manpower, higher management efficiency, end-to-end task automation, with immediate cost savings.
Hand repetitive, brain-draining work to AI digital employees, freeing real people to do higher-value things.
Application layer · Capability layer · Platform layer · Infrastructure layer—a four-layer technology system, with the full stack running on the enterprise intranet, fully leveraging existing IT assets.
The end-to-end execution chain of a "monthly business analysis" — natural language → intent recognition → Skill assembly → automatic execution → result write-back.
From finance to operations, every scenario is upgraded from the "current state" to the "construction goal," speaking with quantified benefits.
Dual perspectives of frontline use and back-office operations—employees can use it immediately by opening a browser, and administrators can manage the entire lifecycle of AI digital employees with one back office.
Designate users, configure permissions, and set run cycles (scheduled / event / manual).
Operational health / task success rate / abnormal alerts / business value indicators.
Feedback within 1 week of trial → our response within 48h, fine-tuned and launched.
Form a "Position × Employee User Manual" so similar positions can inherit it with one click.
The full stack runs on the enterprise intranet, truly bringing IT assets to life — the original system remains untouched, and AI digital employees "grow" directly in the browser, a generation ahead of RPA.
The full stack runs on the enterprise intranet, with zero data egress and credentials encrypted with national cryptographic algorithms, meeting SASAC supervision + Level 3 classified protection requirements.
Chief expert onboarding, dual teams from business and technical sides co-create, with the knowledge system fully transferred to the customer.
Directly use the large models and agents already deployed by the enterprise, so not a single cent of the enterprise's previous spending is wasted.
No more buying systems. Directly "grow" AI entry points on existing SAP / BPC / OA.
Without changing 1 line of original code, without seeking cooperation from the original vendor, and without affecting employees' existing login methods.
Stronger than RPA — not just "clicking by script," but "understanding · judging · deciding."
"Data does not leave the domain · Models are not externally connected · Operations are traceable" - the bottom line for central and state-owned enterprises to pass procurement review in one vote.
From financial shared services to dual lines of operations + production — real projects, quantified results. (The customer is a confidential unit, and some indicators have been desensitized.)
Just provide account permissions and policy documents; we handle the rest turnkey—standard positions run for 1–2 weeks in trial operation, and you only need to watch the numbers on the monitoring dashboard.
National unified service hotline:010-60974119
Scan to add customer service on WeChat