Services

AI Implementation Services

Four practical delivery options: diagnose the roadmap, train the team, build the Agent, and automate knowledge workflows.

Strategy Room

AI Implementation Consulting

Find the right scenario before building the system

AI Implementation Consulting

Timeline：1-2 weeks

AI Implementation Consulting

Find the right scenario before building the system

For companies that know AI matters but are unsure where to start. We map workflows with business owners, identify high-frequency pain points, assess data and tooling conditions, and produce an executable AI roadmap rather than a generic trend report.

Typical ScenariosAI roadmapDepartment efficiency diagnosisAgent scenario screening

Best For

Leaders deciding where to invest in AI
Teams that bought AI tools but cannot apply them
Multiple internal ideas need prioritization
Preparing to launch an enterprise AI project

Deliverables

AI opportunity list
Priority and ROI assessment table
MVP scope statement
System/data/permission preparation checklist
2-4 week implementation plan

Core Capabilities

Workflow interviews and pain-point mapping

AI use case prioritization and rough ROI assessment

Data, system, permission, and compliance assessment

Definition of the first 1-3 deployable scenarios

Roadmap and budget-level recommendations

Model, tool, and vendor selection advice

Implementation Path

1
Business interviews and material collection
2
Workflow and tool audit
3
Scenario screening and value assessment
4
Roadmap review and next-step recommendation

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Hands-on Workshop

Enterprise AI Training

Enterprise AI Training Workshop

Move the team from knowing concepts to using tools

Enterprise AI Training

Timeline：0.5-2 days

Enterprise AI Training Workshop

Move the team from knowing concepts to using tools

For companies that need to quickly improve team AI capability. The training focuses on job tasks: prompting, document work, meeting notes, proposal drafts, data analysis, and automation assistants. Teams leave with templates and workflows they can use immediately.

Typical ScenariosExecutive AI briefingEmployee productivity trainingConsultant AI workflow

Best For

Management wants unified AI awareness
Employees know ChatGPT but cannot apply it to work
Need internal AI usage norms quickly
Training the team before launching Agents

Deliverables

Customized training deck
Role-based prompt template pack
Hands-on practice cases
Enterprise AI usage guideline suggestions
Training recap and follow-up list

Core Capabilities

Customized topics and cases by role

Prompt frameworks and reusable templates

Office scenarios: docs, spreadsheets, slides, meeting notes

Business scenarios: research, sales, support, operations, management

Live co-creation of internal AI use cases

Reusable operating manual after training

Implementation Path

1
Confirm roles and business tasks
2
Customize examples and exercises
3
Workshop and hands-on practice
4
Template handoff and next-step plan

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Agent Prototype

Enterprise AI Agent Development

Let Agents handle repeated decisions and cross-system actions

Enterprise AI Agent Development

Timeline：2-4 weeks for MVP

Enterprise AI Agent Development

Let Agents handle repeated decisions and cross-system actions

For companies with a clear scenario that should become a working tool. We define Agent roles, knowledge sources, tool permissions, triggers, and human approval points, then build Agents for web, Feishu, WeCom, or internal systems.

Typical ScenariosCustomer profile assistantResearch/policy monitoring AgentInternal Q&A bot

Best For

Repeated information work, review, query, or notification tasks
Need AI inside Feishu or WeCom work entry points
Internal data or APIs are available
Want a usable MVP to validate value first

Deliverables

Agent requirements document
Working MVP Agent
Knowledge/tool-calling configuration
Test cases and acceptance checklist
Operating manual and iteration suggestions

Core Capabilities

Agent role, task boundary, and tool permission design

Connect knowledge bases, spreadsheets, APIs, and approval flows

Support Feishu, WeCom, web, or internal entry points

Multi-step execution with human confirmation

Logs, permissions, exception handling, and effectiveness review

Iteration from real pilot feedback

Implementation Path

1
Define task boundary and acceptance criteria
2
Connect knowledge, tools, and permissions
3
Develop MVP and run small pilot
4
Iterate from logs and feedback

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Knowledge Workflow

AI Knowledge Base & Workflow Automation

Turn materials, processes, and experience into reusable systems

AI Knowledge Base & Workflow Automation

Timeline：3-6 weeks

AI Knowledge Base & Workflow Automation

Turn materials, processes, and experience into reusable systems

For teams whose documents are scattered, experience depends on individuals, and workflows move manually. We structure documents, project materials, SOPs, spreadsheets, and historical records into searchable knowledge bases and automate repeated workflow steps.

Typical ScenariosEnterprise knowledge baseSOP Q&A assistantAutomated report generation

Best For

Materials scattered across drives, Feishu, and personal computers
New hire training depends on senior employees
Recurring reports, data organization, and notifications are manual
Want to build maintainable enterprise knowledge assets

Deliverables

Knowledge base information architecture
Document ingestion and retrieval system
Workflow automation configuration
Permission and update rules
Admin handoff manual

Core Capabilities

Document structuring, desensitization, and tiered ingestion

Semantic search, multi-turn Q&A, and source citation

Spreadsheet, form, message, and approval automation

Permission layers and data security design

FAQ, SOP, template, and case library construction

Monitoring, knowledge update, and handoff mechanism

Implementation Path

1
Material audit and taxonomy design
2
Knowledge base setup and ingestion
3
Workflow automation configuration and testing
4
Admin training and update mechanism

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Not sure whether to start with consulting, training, or development?

Use a 30-minute diagnosis to clarify the scenario, data conditions, MVP scope, and budget level.

Book an AI Diagnosis