7 must-have domestic AI tools for corporate consultants: a powerful tool for efficiently dealing with "tight time and heavy tasks"

Written by

Silas Grey

Updated on:June-18th-2025

In today's fast-paced work environment, as a senior consultant, you often face "urgent challenges" under multiple tasks such as demand assessment, prototype design, document writing, data analysis, etc. Most of the pressure comes from the dilemma of "tight time and heavy tasks".

Fortunately, the rapid development of AI technology has provided AI consultants with many "magic tools" to help us complete more work in less time while improving efficiency and creativity. Before May Day, a friend who was a senior executive of a large company and wanted to switch to a consulting consultant came to me late at night to review the interview. He was stuck on a seemingly simple question: "As a senior consultant, what AI tools do you usually use?" He said he answered ChatGPT, Wenxin Yiyan, Kimi, DeepSeek, etc. Party A asked, in addition to these "conversational AI", are there any other commonly used AI tools? My friend said that he secretly said badly at the time because he did not prepare in advance, and finally only mentioned an AI drawing tool - Midjourney.

In my opinion, this question not only tests the consultant's familiarity with AI tools, but also assesses your sensitivity and control over new AI trends. After all, AI tools are updated every day, and we don't need to list a lot of them, but we must be able to accurately select tools that are highly relevant to the work, and at the same time demonstrate our ability to continuously explore and learn AI.

Therefore, this article lists some common AI tools, hoping to help consultants in their daily work and also provide reference for those who have to communicate with clients every day. Of course, these tools are still from a practical perspective - not only can they improve efficiency, but they can also allow you to demonstrate your keen insight and practical ability in dealing with clients.

1. Kingdee CosmicAI Management Assistant

Introduction : A super intelligent assistant for enterprise management, integrating AI applications in finance, human resources, procurement and other scenarios, supporting conversational interaction and decision-making assistance.
Official website/download : Kingdee Software Official Website
Advantages :

Deeply adapt to enterprise business systems, providing more than 100 scenario-based functions such as financial report generation and risk screening8.
Supports permission management and data security to ensure that sensitive enterprise information is not leaked8
Disadvantages :
There are many functional modules, and a certain learning cost is required for first-time use.
Some advanced functions require customized deployment by the enterprise.

2. NebulaAI Intelligent Agent Development Platform

Introduction : An enterprise-level low-code AI development platform that supports private deployment and multi-modal interaction, and seamlessly integrates business systems.
Official website/download : NebulaAI official website
Advantages :

Support drag-and-drop construction of "smart cards" to present data graphically (such as charts and maps) to improve reporting efficiency2.
Provide API orchestration and cloud function development to solve the problem of complex business logic docking2
Disadvantages :
For non-technical users, some advanced features still require technical support.

3. Get help from the large model platform

Introduction : Zhongguancun Kejin launched a 0-code AI application building platform, focusing on industry vertical scenarios (such as finance and transportation).
Official website/download : Dezhu Big Model Platform (need to contact the official to obtain)
Advantages :

Supports RAG+ workflow architecture, overcomes the pain points of long text understanding and multi-agent collaboration, and builds AI applications in minutes10.
Deeply compatible with the domestic large-scale model DeepSeek, suitable for customized needs in engineering, shipbuilding and other fields10
Disadvantages :
Industry suites need to be developed jointly with partners and have limited openness.

4. Danswer Enterprise Q&A Search Tool

Introduction : An enterprise-level search engine based on AI that integrates data from tools such as Slack and Notion to achieve hybrid search and real-time learning.
Official website/download : Danswer official website
Advantages :

Supports multi-language models (such as GPT-4, Llama2) to accurately locate internal documents and knowledge base information5.
Automatically update data sources to ensure information timeliness5
Disadvantages :
Docker or Kubernetes deployment is required, and the technical threshold is relatively high.

5. Tongyi Qianwen (Alibaba)

Introduction : A multi-modal large model developed by Alibaba Cloud, which is good at code generation, PPT production and vertical knowledge base question and answer.
Official website/download : Tongyi Qianwen official website
Advantages :

It performs well in e-commerce and legal scenarios and supports real-time conference content transcription.36.
The overall performance is close to GPT-4, and the programming ability beats 80% of Python users4
Disadvantages :
Depends on data quality, logical reasoning tasks are prone to errors6.

6. Secret Tower AI Search Engine

Introduction : An AI search engine focused on niche areas, supporting targeted retrieval of academic and professional resources.
Official website/download : Mita AI official website
Advantages :

The search scope is precise and suitable for professional fields such as law and finance1.
The interface is simple and responsive.
Disadvantages :
The free version has limited functionality, and advanced searches require payment.

7. EY METIS Big Model Platform (EY China)

Introduction : EY's enterprise-level AI solution covers knowledge base retrieval, decision support and process optimization.
Official website/download : EY METIS Introduction
Advantages :

Integrate knowledge in vertical fields such as finance, taxation, and compliance to optimize enterprise processes across the entire chain7.
Providing a POC pilot model to reduce the risk of enterprise AI applications7
Disadvantages :
It is mainly aimed at large enterprises, and the access cost for small and medium-sized customers is relatively high.

Summary: The underlying logic of tool selection

Match business scenarios : For financial analysis, choose Kingdee CosmicAI; for industry customization, choose Dezhu platform.
Focus on data security : Prioritize tools that support private deployment (such as NebulaAI).
Balancing efficiency and cost : Tongyi Qianwen and Mita AI are suitable for lightweight needs, while Kingdee and EY are suitable for deep integration.

Finally, a reminder : Tools are only means, and the core is still the accurate insight into business pain points. The client is more concerned about how you use AI to create value, rather than piling up technical terms. Keep exploring new tools, but always be results-oriented.