Agentic AI
Automation
Accounts Payable
Order Management
Transport & Logistics
Customs Clearance
Banking and financial services
Insurance
Transport & Logistics
At present, AI has become a common tool in the workplace. Knowledge Q&A, thinking, copywriting and PPT production can easily meet various lightweight office needs and effectively improve basic office efficiency. However, the lightweight personal AI ability is difficult to meet the enterprise business operation standard. AI wants to truly land in the enterprise and enable the core business, so it has higher and stricter professional requirements.
Personal office focuses on lightweight content assistance and loose standards; The core scenarios such as corporate finance and taxation, business flow, and data management are demanding and complex, requiring in-depth docking of business systems, accurate compliance verification, and continuous adaptation of system iterations, with extremely high thresholds for the practicality, stability, and security of tools.
Most of the general AI in the market focus more on text interaction ability and perform well in content generation, scheme output and logic sorting, but they do not have the practical operation ability of system operation and whole process business landing, so it is difficult to adapt to the complex and changeable core business scenarios of enterprises.
In response to the real digital intelligence needs of enterprises, i-Search automated magician broke away from the lightweight office track of general AI, relying on three-tier differentiated core capabilities, complemented the shortcomings of traditional AI, focused on the pain points of enterprise office, finance and taxation, and operation and maintenance, and made AI truly take root in business and work.
The first difference:
Farewell to paper intelligence, from "being able to speak" to "being able to do closed loop"
The second difference:The first difference:
Farewell to paper intelligence, from "being able to speak" to "being able to do closed loop"
Most of the core capabilities of general AI are limited to dialog boxes - Rewriting documents, analyzing forms, sorting out process steps, which is equivalent to an "online consultant", who can answer questions and guide, but can not operate the system personally.
This has caused the biggest embarrassment of enterprise automation: AI teaches you how to do it, but all the cumbersome operations still need to be manually explained. Tax declaration, financial reconciliation, ledger collection and other high-frequency repetitive work, simple program guidance can not really reduce the burden.
Automation magicians break the dilemma of "intelligence does not fall" and focus on the end-to-end whole process operation closed loop. It is not necessary to manually switch software, copy and paste, and manually check. With a natural language command, you can independently complete the whole set of business actions: automatically log in to various business systems, automatically read invoice data, system accounts, and business documents, and complete data summary, form filling, checkup, and filing in strict accordance with enterprise specifications.
Ordinary AI is a "consultant" for ideas, and automated magicians are "employees" who can take the post.
break through the scene barrier and penetrate the closed system of the enterprise
Many enterprises' AI landing is difficult, not because the tools are not intelligent enough, but because they cannot enter the core business system.
Most of the core businesses of enterprises rely on privatized ERP, old clients, customized intranet operation, and multiple security mechanisms such as verification code, SMS verification, browser protection, etc. Most general AI rely on browser plug-ins and public cloud ports. When encountering enterprise intranet protection and multi-layer authentication, they are directly blocked and cannot even break through the login.
Relying on decades of automation accumulation, i-Search automation magician has the original underlying operation ability, does not rely on plug-ins, does not force penetration permissions, and naturally adapts to the complex and closed scenes of enterprises: it can independently identify all types of verification codes such as slider, click, text, etc., automatically complete the SMS verification, and is unattended throughout the whole process; Perfectly avoid browser interception and webpage pop-up protection. At the same time, it is deeply compatible with SAP, Kingdee, UFIDA and other full range of financial and tax systems. Whether it is a new cloud system or an old local client, it can run a long process stably.
General AI tests the water in the lightweight scenario of the external network, and automated magicians go deep into the core business of the internal network of the enterprise.
The third difference:
say goodbye to temporary tools and precipitate digital assets with self-healing ability
The third difference:
say goodbye to temporary tools and precipitate digital assets with self-healing ability
Stability and inheritability are the core demands of enterprise digitalization and the core weakness of general AI.
General AI has natural model randomness, and the execution results of the same instruction and different periods often have deviation; Once the system interface is fine tuned, the buttons are shifted, and the page is revised, an error will be directly reported. More importantly, all operation processes are fragmented, unable to retain precipitation, and all past experience is cleared after personnel change.
Automation magicians completely get rid of the "temporary tool" attribute, and build an enterprise level automation system that is self-healing, iterative, stable, controllable, and sustainable: AI intelligent self-healing: in the face of normal changes such as platform revision, interface upgrade, and rule adjustment, it automatically identifies page changes, relocates operating elements, and reconstructs the operation path, without manual modification, it secondary development, and sensory adaptation throughout the process. Completely bid farewell to the operation and maintenance problem of "collapse upon change". Process solidification and control: the molding process is fixed with standardized operation logic to avoid random fluctuations of the model. The periodic financial and tax declaration, data collection, and account checking were carried out uniformly and the results were accurate and stable, fully meeting the requirements of regulatory audit. Ability sustainable precipitation: all the processes of Runtong are precipitated into the enterprise's exclusive skill library, which supports free combination, iterative update and reuse at any time. Keep complete operation log and operation track, traceable and auditable. The personnel will be transferred and resigned, and the ability will be fully retained, so as to realize "the ability to retain the ability to leave".
General AI is a temporary tool floating with the model, and automated magicians are long-term digital assets that can be accumulated and inherited.
Write at the end:
enterprise automation should be intelligent, but also landing, stable and long-term
Write at the end:
enterprise automation should be intelligent, but also landing, stable and long-term
Removing the traffic gimmick of the AI industry, it is not difficult to find that the general office AI is good at lightweight assistance and optimizing the office experience, while the real enterprise level process automation is never about how perfect the script is, but how solid the landing is, how comprehensive the equipment is, and how stable the operation is.
I-Search automation magician has always been rooted in the real business scenario of the enterprise, and adheres to the pragmatic digital route: it does not rely on concept drainage, but on full link practical operation; It does not rely on parameter stacking, but on full scene system adaptation; It does not rely on temporary experience, but on iterative and precipitable long-term value.
Let AI return to the essence of execution, undertake the repeated and tedious mechanical work of enterprises, and let employees focus on high-value work such as risk control, planning and decision-making, which is the optimal solution of digital intelligence for enterprises.