UFIDA Digital Brain Xiaoe.AI

What is UFIDA’s Digital Brain Xiaoe.AI?

UFIDA Digital Brain Xiaoe.AI is an enterprise intelligent application platform designed for organizational office work and operations.

It leverages the collaboration of large models, small models, and agents to integrate question answering, data processing, and business actions into an organizational system.

Product positioning

Five core technical engines

Multimodal intelligent data collection

The collection engine is used to aggregate dispersed unstructured information across different systems, thereby creating usable corpora and data.

• It can process data from sources such as emails, instant messaging, web-based information, and meeting recordings.
• Content is unified and organized by combining OCR, speech recognition, and data collection technologies.
• It is suitable for creating knowledge centers, public opinion databases, and business resource databases.
• The scope of data collection must comply with rules regarding permissions, privacy, confidentiality, and website usage.
• Before entering the knowledge base, deduplication, classification, data masking, and quality checks should be carried out.

Intelligent search and Q&A

The platform utilizes a combination of knowledge base retrieval, large-model summarization, and source verification to enhance the credibility of the responses provided by enterprises.

• Vectorized storage helps retrieve relevant content from a large number of documents.
• Small models can handle more accurate retrieval and classification tasks.
• The large model is responsible for integrating the results and generating natural-language responses.
• Tracing the source facilitates employees’ return to the relevant system or verification of the original text.
• Permission filtering must occur before retrieval and generation to prevent unauthorized data exposure.

Conversion between text data formats

The text data conversion engine can transform unstructured documents into tables, fields, and business records.

• It supports the recognition of Chinese and English text from office documents and images.
• It can handle materials such as tables, contracts, bank statements, licenses, and bid documents.
• Custom field extraction accommodates the registration standards of different departments.
• The identification results can be fed into process or business systems for further processing.
• The amount, account number, date, and contract terms must be manually reviewed.

Intelligent review

Intelligent auditing combines institutional rules, system data, and AI-based semantic understanding to identify risks and inconsistencies.

• It is possible to verify the accuracy, compliance, and consistency of process data.
• In contract scenarios, it can assist in comparing versions, terms, and business rules.
• In official document scenarios, proofreading, summarization, and recommendations for relevant documents can be carried out.
• Automatic approval should be applied only to matters with low risk, clear rules, and traceability.
• High-risk decisions still require final approval from authorized personnel.

Intent recognition and action execution

This engine converts natural language into system intentions, and then invokes processes, pages, or business actions to complete the task.

• Employees can use conversations to query data, find people, request leave, or submit reimbursement requests.
• An agent can break down tasks, access a knowledge base, and carry out authorized commands.
• The capability to connect with the Fanwei system as well as other business systems.
• Before carrying out an action, the key parameters should be displayed, and high-risk operations require double confirmation.
• All automated operations require the retention of logs for identity, time, inputs, and outputs.

Construction of enterprise agents

The platform allows customers to configure custom agents based on their specific business needs, thereby creating dedicated digital employees.

• Define the agent roles, task scope, prompts, and knowledge sources.
• Configure the system capabilities that can be invoked, data permissions, and boundaries for actions.
• Complex requests are broken down into multiple steps through task planning.
• Use business samples to evaluate the accuracy of responses, tool calls, and refusal behaviors.
• After going live, feedback is continuously collected to update the corpus, rules, and permissions.

Office application scenarios

• Knowledge Q&A: Access to systems, product information, and details on internal experts.
• Administrative services: Check pending tasks, schedule, attendance, meetings, and business trips.
• Process approval: voice initiation, document verification, route prediction, and decision support.
• Document processing: drafting, summarizing, proofreading, recommending materials, and following up on their handling.
• Data querying: Analyze sales, expense, and operational data through natural language processing.
• Smart writing: Assists with handling emails, reports, summaries, and office documents.

Business operation scenarios

Xiaoe.AI Implementation Guide

1. Choose a business scenario that features high frequency, clear rules, and controllable risks.
2. Analyze users, processes, systems, data, permissions, and current pain points.
3. Decide whether to use Q&A, extraction, review, or action execution capabilities.
4. Organize systems, forms, documents, and past cases to achieve data governance.
5. Configure models, knowledge bases, small models, rules, and agent tools.
6. A testing environment connected to the UFIDA platform or third-party business systems.
7. Test the accuracy, permissions, handling of exceptions, and response time using real samples.
8. Set up mechanisms for manual review, forwarding of failed cases, logging, and risk alerts.
9. Conduct small-scale pilots to compare efficiency, quality, and user satisfaction.
10. After passing the acceptance, it will be gradually expanded to more departments and business scenarios.

Process for carrying out knowledge quizzes

1. Define the scope of the question and the group of people who are allowed to answer it.
2. Collect effective systems, manuals, case studies, and materials on common questions.
3. Remove expired, duplicate, contradictory, and sensitive content.
4. Create metadata by department, topic, version, and confidentiality level.
5. Configure retrieval, answer generation, citation, and permission policies.
6. Prepare test sets with no answers, conflicting answers, and out-of-scope questions.
7. Have the business owner review the responses and modify the knowledge content.
8. After going live, the hit rate, rejection rate, and user feedback are continuously monitored.

Price and procurement methods

As of August 30, 2026, the official website offers a free trial option, but no unified packages or standard pricing have been announced.

The final costs and scope of services shall be determined in accordance with the official proposal, quotation, and purchase contract issued by Fanwei.

Key points for procurement evaluation

• Verify whether software licensing, implementation, model invocation, computing power, and operation and maintenance are charged separately.
• Specify the limits on the number of users, organizations, agents, and the capacity of the knowledge base.
• Evaluate the workload associated with integrating third-party system interfaces and carrying out custom development.
• Confirm the policies regarding upgrades, training, on-site support, fault response, and renewal.
• The privatization plan should specify the hardware specifications, model licensing, and expansion costs.
• After verifying the value using pilot data, a decision will be made to roll it out across the entire organization.

Integration, APIs, and SDKs

• Openness: Intelligent technologies can be invoked or integrated by business systems.
• Interface integration: It enables the integration of capabilities such as Q&A, recognition, and review into specialized applications.
• Page integration SDK: The official website confirms support for integration via pages or SDKs.
• Browser plugins: enable functions such as generation calls within a working environment.
• Public developer platform: No complete public directory available for individual self-service applications.
• Access requirements: The specific interfaces, authorization procedures, and prices must be determined as part of the project plan.

Platform support and deployment

• PC version: Supports desktop use in organizational offices and business systems.
• Mobile version: Supports an integrated interaction experience between mobile devices and PCs.
• Web: The official website and project system can be accessed via a browser.
• Plugins and pages: Supports browser plugins as well as web page calls.
• Privatization: It can be implemented in line with organizational data, security, and indigenous innovation requirements.
• Third-party systems: They can be integrated with various business systems and their functions can be utilized.

Innovation in communication technologies and security capabilities

The platform is compatible with domestic CPUs, servers, operating systems, middleware, databases, and other components related to the domestic IT ecosystem.

• Special optimizations and adaptations have been carried out for domestic GPU operators.
• Security measures cover the processes of data storage, display, and transmission.
• The official website provides information on data encryption, access control, authentication, and authorization.
• It also includes backup and recovery, network security, as well as security auditing and monitoring.
• Companies still need to conduct assessments for security compliance, privacy protection, and data compliance in accordance with their respective industries.

GitHub and the open-source status

• The platform is not an open-source project.
• No official open-source repository that corresponds explicitly to the Xiaoe.AI business platform was found.
• Public interfaces or SDKs do not equate to the disclosure of the platform’s source code.
• Connecting to open-source models does not change the platform’s own commercial licensing characteristics.
• The rights regarding code, models, and secondary development for private deployment are governed by the contract.

Which organizations are suitable?

• Organizations that are already using the UFIDA Collaboration Platform and wish to add AI capabilities.
• Companies that need to integrate knowledge-based Q&A systems with natural language interfaces for handling tasks.
• Organizations with a large volume of contracts, procurement, financial, and archival documents.
• Groups that need to connect multiple business systems and automate processes.
• Organizations with high requirements in terms of independent innovation, privatization, auditing, and data access controls.
• The management team is preparing to introduce the use of AI in companies on a pilot basis, through small-scale projects.

Usage restrictions and precautions

• The effectiveness of corporate AI relies heavily on the quality of knowledge, process rules, and system data.
• Large models may produce incorrect conclusions; critical approvals cannot rely solely on AI.
• Legal authorization is required to collect email, chat, and web page information.
• Automated actions require minimal permissions, secondary confirmation, and comprehensive auditing.
• The interfaces, models, and deployment capabilities depend on the actual solution purchased.
• The demonstrations on the official website do not mean that each feature can be used right away without any configuration.
• Tests for security, privacy, performance, and disaster recovery must be completed before official launch.

Frequently Asked Questions

What problems does Xiaoe.AI mainly address?

It integrates knowledge-based Q&A, data processing, intelligent review, and business actions into corporate office and operational processes.

Is Xiaoe.AI an ordinary chatbot?

No, it is a foundation for intelligent enterprise applications; it can connect to knowledge bases, rules, agents, and real business systems.

Can Xiaoe.AI be connected to other large models?

Yes, the official website states that the platform supports connecting to large models from various manufacturers, and it can also be used in conjunction with custom-developed small models to carry out specific tasks.

How does Xiaoe.AI charge?

The official website does not list any standard packages; to place a formal order, it is necessary to obtain a corporate quote based on the modules, users, level of integration, and scope of deployment.

Does Xiaoe.AI support privatization and domestic innovation?

Supported; the platform has been adapted for various domestic software and hardware solutions, and the specific scope of deployment shall be determined based on the project requirements.

Does Xiaoe.AI offer APIs or SDKs?

The official website confirms that the capabilities for making calls and page integration via SDKs are available; for details regarding the interfaces, authorization procedures, and prices, it is necessary to contact Fanwei.

Is Xiaoe.AI open-source software?

It is not an open-source project; the availability of interfaces, SDKs, or connections to open-source models does not mean that the source code of the platform is made available.