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2026-06 simultaneous conference · Three major AI capabilities are fully online

Integrate AI with your business system

The official 2026 press conference proposed from "dialogue AI" to "AI participation in work" : using AI to intelligently build , AI intelligent applications , Agent platform integration covers the entire link of construction, operation and open integration.

Answer in 30 seconds · Jiandaoyun AI

2026 Agent capability is the direction; compare the 12 platform AI Hengping and the channel price range before purchasing.

AI Hengping → · AI selection → · formal quotation →

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2026-06 Jiandaoyun AI Conference

Three major capabilities · Covering all enterprise AI scenarios

Official slogan: From "Conversation with AI" to "Let AI participate in work" - Let AI be integrated into forms, processes, dashboards and open integrations, not just chat windows.

AI intelligent construction

Internal beta

Natural language describes requirements, and AI automatically generates forms, processes, dashboards, etc., making construction as easy as chatting - officials say it can bring about 10× construction efficiency improvements of .

applied for intelligent construction internal testing →

AI intelligent application

Form filling, business processes, and document recognition are fully embedded with AI: AI Assistant (intelligent filling/knowledge question and answer), Intelligent Assistant Pro (LLM/multimodal/Agent node), AI filling/formula/editing assistant, etc.

Detailed explanation of viewing capabilities ↓

Agent platform integration

Connect business data, processes, knowledge and external information, and embed enterprise-level Agents into workflows through API / MCP / CLI (Enterprise Edition+, can cooperate with agent platforms such as OpenClaw).

Agent integration details ↓

Key business scenarios of the press conference (intelligent application layer)

Contract pre-review assistant

After uploading the contract, AI extracts key information, fills out the form and identifies potential risks

Resume pre-screening assistant

Automatically identify resumes, extract key information and complete pre-screening according to preliminary screening requirements

Point inspection identification assistant

Upload on-site photos, AI will identify problems according to inspection standards and list abnormal items

There are also AI CRM, AI store inspection and other scenarios - see Arithmetic AI Scenario Playbook · Official AI Homepage

Prerequisites: Join the AI ​​Lab Program

Most of Jiandaoyun's AI capabilities (AI assistant, AI filling, AI node, etc.) require the creator/system administrator to join the AI Lab Plan in "Admin Backstage → Enterprise Settings → AI Lab" before they will be visible and available.When not joining, the AI ​​assistant cannot be seen on the member side, and AI filling and AI nodes cannot be configured on the building side.

  1. The administrator enters "Administration Backstage → Enterprise Settings → AI Lab" and completes the plan to join
  2. Enable AI assistant on demand, configure quick form filling, and design default values ​​for AI filled fields
  3. Arrange AI large model/multimodal/Agent execution nodes in Intelligent Assistant Pro
Official "AI Function" Overview Document

Official Token Quota (Summary)

  • Intelligent Assistant Pro AI Node: Each intelligent assistant with AI-related execution nodes, 10,000,000 Token/day (model testing is also included)
  • Remaining AI functions (including AI assistant, AI filling, etc.): 2,000,000 Token shared by per person per day
  • Intelligent Assistant Pro The number of executions is billed according to the version. Cloud coins will be consumed on a per-time basis after exceeding the limit; the traditional "intelligent assistant" can still be executed for free and unlimitedly

After opening the AI ​​laboratory, it is recommended to follow this path

Official AI Capability Architecture

The 2026 press conference uses intelligent construction / intelligent application / agent integration as the top-level narrative; the product documentation is still divided into two major modules: AI laboratory and AI plug-in.MiCount further summarizes it into a three-layer implementation model to facilitate enterprises to activate it in stages.

1

AI intelligent construction

NL2App: Generate system prototypes for purchase, sale, inventory/CRM/inspection/recruitment in one sentence (under internal testing)

2

AI intelligent application

AI Lab built-in capabilities + Intelligent Assistant Pro + Scenario Templates upgrade no-code applications to AI applications

3

Agent platform integration

API/MCP/CLI is open to connect with customer service/sales and transportation/purchasing/human resources/insight and other enterprise agents

Module 1 · AI Laboratory

Built-in AI capabilities for members and builders: AI assistant (quick report filling, knowledge Q&A), AI filling, AI editing assistant, AI formula, AI photo form creation, conversation form filling, document analysis, etc.

Official Document →

Module 2 · AI plug-in

The OCR, bill identification, industry model and other capabilities expanded through the plug-in market can be linked with form fields and Intelligent Assistant Pro, making it suitable for teams with special identification/industry needs.

Plugin Market →

MiCount · Three-layer landing model (corresponding to the intelligent application layer)

1

Member level · Use it well

AI assistant, Xiaojian business quick service, OpenClaw skill package - allowing frontline employees to "fill in forms and ask for data in human language"

2

Build layer·Built

AI filling, AI table creation/formula/editing, OCR recognition - allowing business backbones to "write less formulas, configure fewer fields, and produce prototypes faster"

3

Automation layer · Management stability

Intelligent Assistant Pro + AI Large Model/Multi-modal/Agent Node - Let the process be "upgraded from rule-driven to intelligent-driven"

Detailed explanation of three-tier capabilities

Organized by roles and stages, it is recommended that enterprises start piloting at the member level, and then advance to the construction layer and automation layer.

1 Member Level · Improve daily office efficiency

AI Assistant

The conversational assistant on the workbench supports quick report filling and knowledge question and answer skills; it can input voice/picture, automatically match skills to fill in the form or answer questions based on the knowledge base.

Official Document →

AI quick report filling (quickly handle small and simple business)

After the form's "Extended Function → AI Quick Filling" is enabled, members describe their needs in natural language, and Xiaojian identifies and fills in the fields; suitable for leave requests, hidden danger reports, and registration scenarios.

Official Document →

OpenClaw · AI Data Assistant

In the form of AI skill package, after connecting to the Jiandaoyun account, you can use natural language to check data, review approvals, and issue analysis reports; 4 step no-code deployment.

Official introduction →

2Building layer · Form and application design

AI filling

The field default value supports four modes: summary, translation, information extraction, and automatic generation of ; it is commonly used in scenarios such as customer complaint analysis and label extraction.

Official Document →

AI editing assistant

The rich text field is embedded with polishing, amplification, abbreviation, translation, and tone change, which is suitable for the production of notices, plans, and reports.

AI function overview →

AI formula generation

Natural language describes calculation rules, and AI translates them into Jiandaoyun function formulas, which lowers the threshold for business personnel allocation.

AI function overview →

AI photo taking/dialogue table creation

Take photos of paper documents or Excel screenshots to automatically generate form structures; conversational form filling reduces field/frontline entry costs.

View scene demonstration →

AI Document Manager / OCR

Key fields are parsed after uploading contracts, PDFs, and bills; with AI plug-ins, identification templates for licenses, invoices, etc. can be expanded.

AI function overview →

AI assisted application construction

Natural language describes business requirements, assists in generating form structures, processes and dashboard solutions, shortening the construction cycle from 0 to 1 .

Start-up path for newbies →

3 Automation Layer · Intelligent Assistant Pro

Intelligent Assistant Pro

Visual waterfall flow orchestration automated workflow: supports data addition, deletion, process events, timing, Webhook and other triggers; can query cross-table data, perform calculations, call APIs, and view node execution records and manual retries.

  • Traditional "smart assistants" can still be executed for free and unlimitedly
  • The Pro version has different annual execution quotas based on the version.
Intelligent Assistant Pro Official Document →

Three types of AI execution nodes

Insert into the Smart Assistant Pro canvas to embed AI into business flow (non-independent "process form node" concept):

  • AI large model node — text understanding, summary, generation, classification, anomaly detection
  • AI multi-modal node — image/document/voice content recognition and image and text quality inspection
  • Agent node — Plan tasks independently and call plug-ins to process complex logic
AI Node Practical Guide →

Intelligent Assistant Pro · Detailed explanation of AI execution nodes

Configure prompt words → test generation → write results into custom fields → downstream nodes continue to flow

The AI ​​node is the execution node in the Intelligent Assistant Pro workflow.After triggering, press the prompt word to call the large model or multi-modal model. The output can be written into custom fields such as text, numbers, dates, text arrays, object arrays, etc. for use by subsequent nodes.Typical scenarios: weekly sales report analysis, automatic lead rating, on-site inspection graphic quality inspection, voice follow-up record extraction, etc.

LLM · Large model node

  • • Text summarization and key information extraction
  • • Multilingual translation and content generation
  • • Sentiment analysis / classification labeling
  • • Data verification and anomaly detection
Documents →

MM · Multi-modal node

  • • On-site photography compliance determination
  • • Document/PDF intelligent parsing
  • • Picture and text comparison quality inspection
  • • Generation and review of rectification suggestions
Practical case →

Agent · Agent node

  • • Understand goals and plan steps independently
  • • Call plug-ins to handle complex branches
  • • Suitable for judgment stages where rules cannot be fixed
  • • Sales follow-up/inspection closed loop, etc.
Practical case →

Typical orchestration process

1

trigger

Data submission / timing / Webhook

2

Query / Calculate

Pro node prepares context data

3

AI node

LLM/Multimodal/Agent

4

Write back & downstream

Update fields/send messages/call API

AI skill pack · Member level enhancement

OpenClaw · AI Data Assistant

Jiandaoyun's first AI skill package: connect your account to become 's exclusive AI data assistant.Complementary to AI assistant (form filling/Q&A) - more focused on cross-application enumeration, approval tracking, and analysis reports, suitable for managers and data analysis roles.

Natural language data query Automatic analysis report Approval status tracking 4 step no-code deployment
View official details

Example question

"Which region has the best performance this month?"
"What approvals are still pending?"
"Analyze the business opportunities and give a report"
Enterprise Edition+ · Open Integration

Agent platform integration · Putting AI to work

The official provides three types of open capabilities: API, MCP, and CLI, which can connect the data, processes, and knowledge bases in Jiandaoyun with enterprise-level agents—cooperating with third-party agent platforms such as OpenClaw and Wufan to create a "digital employee" team.

简道云 API

Read and write form data, trigger processes, and query dashboards for Agent to call business context.

Developer Documentation →

简道云 MCP

Model Context Protocol service allows Agents that support MCP to directly access Jiandaoyun tools and data.

Open integration guide for this site →

简道云 CLI

The command line interface facilitates DevOps and automated scripts to integrate Agent orchestration into CI/CD or operation and maintenance processes.

Official AI Home Page →

Press Conference Demonstration · Enterprise Agent Example (Excerpt)

Customer Service Agent

Suggestions for troubleshooting and excellent Q&A collection

Sales Agent

Quotation suggestions, business opportunity warnings, and weekly reports are automatically generated

Purchasing Agent

Source recommendation, supplier risk warning

Insight Agent

Market opportunity capture, public opinion and competitive product monitoring

Lean Agent

5S rectification suggestions, 8D assistance, predictive maintenance

Personnel Agent

Employee resignation warning and care reminder

For complete Agent list and customized Soul/Tool/Skill instructions, please see jiandaoyun.com/index/ai · For deployment consultation, please contact MiCount

OFFICIAL · 2026

9 Great AI capabilities · Official real-machine demonstration

Screen recording comparison of high-frequency capabilities, with official documents attached for each item.

Jiandaoyun AI intelligent filling

1. AI smart filling

Automatically populate an entire set of fields after contextual understanding.

Official Document →
AI editing assistant

2. AI editing assistant

Rich text polishing, amplification, translation, and tone change.

AI function overview →
AI formula generation

3. AI formula generation

Natural language transfer function formula.

AI function overview →
AI photo generation form

4. AI photo generation form

Take a document/screenshot to automatically identify the field structure.

AI function overview →
AI conversational form filling

5. AI conversational form filling

Submit work orders/reimbursements/requests through chat.

Quickly fill in documents →
AI field intelligent matching

6. AI field intelligent matching

Automatically match synonymous fields when migrating across tables.

AI function overview →
AI multimodal analysis

7. AI multi-modal analysis

Pictures + text + data output structured conclusions.

AI node actual combat →
AI document manager

8. AI Document Manager

Key fields of contract/PDF parsing are stored in the database.

AI function overview →
AI global office assistant

9. AI Assistant / OpenClaw

Ask for data, check for approval, fill out forms, and do analysis.

AI Assistant Document →

The demonstration material comes from the official release of Jiandaoyun and is only used for learning reference.For the complete experience, please visit Jiandaoyun official website.

Quota, version and billing instructions

The following summary is from the official help document of Jiandaoyun. The latest version and contract shall prevail.

project illustrate
AI laboratory Token (member/building class)AI assistant, AI filling, etc.: shared by 2,000,000 Token per person per day
Intelligent Assistant Pro · AI Node TokenEach intelligent assistant with AI execution node: 10,000,000 Token/day (including testing)
Smart Assistant Pro execution timesEnjoy annual free execution quota by version; after exceeding, it will cost about 0.01 cloud coins each time
Traditional smart assistantExcluding the number of Pro executions, can execute unlimited times for free
AI quick fillingFor paid functions, the official has tried it for free for a limited time; please refer to the current pricing page.

What is Token?

Token is the unit of measurement for text processing by large language models.Chinese is about 1.5–2 Token/word, and English is about 1–1.5 Token/word.Jiandaoyun measures AI call consumption in Token.

  • • Customer complaint analysis (500 words in + 200 words out) ≈ 1,400 Token
  • • Contract summary (2000 words in + 500 words out) ≈ 5,000 Token

MiCount quota optimization suggestions

  • 1 Use AI to fill/quickly report high-frequency simple tasks, and use Pro AI nodes for complex links
  • 2 Simplify Prompt and reduce invalid context tokens
  • 3 The management background monitors the consumption of each assistant and identifies abnormally high energy consumption scenarios.
  • 4 needs version upgrade or Token package expansion → Receive the official channel price · Canadian Enterprise Micro Consulting

The quota is sufficient, but the scenario has not been completed? can help you deliver an acceptable AI POC (Intelligent Assistant Pro/Agent Node/Knowledge Base) within 2–4 weeks.

MiCount · JiandaoyunAI landing service

As the core service provider of Jiandaoyun, MiCount provides full-process support from AI capability planning to scenario implementation.

AI capability assessment

Analyze the company's existing business processes, identify opportunities for AI empowerment, and output an AI implementation roadmap

Scene construction and delivery

AI Agent node configuration, intelligent assistant construction, Prompt project optimization, turnkey delivery

Training and support

AI function usage training, Token optimization guidance, continuous operation support

📚 Extended learning and reference materials

Jiandaoyun official resources, AI technology reference, industry reports

The above resource links point to third-party websites. The content is officially maintained by each platform and is for learning reference only.

Is the ability of Jiandaoyun AI clear? official authorized channel · Procurement Province 15%–30%, up to 55% · POC delivery · Canadian enterprise micro-college official price list

Jiandaoyun · How to implement after studying?

Compare the Hengping matrix, cost calculations and official channel quotations to reduce repeated searches.