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Custom AI Agents · Workflow intelligence

Turn proven enterprise experience
into AI, and build Agents that keep growing

Enterprises are not short of workflows or accumulated experience. What they lack is the ability to feed that experience to AI and let it execute by the rules. That translation layer is exactly what GrowthTop builds — turning your business rules and knowledge into an AI Agent that runs 24/7.

Talk to us about an Agent solution View case studies
Technical capabilities and ecosystem

From data to delivery: a ready-to-deploy Agent technology stack

We connect enterprise accumulated experience, multimodal generation and business systems into an automated pipeline - you just output and move to AI

Data Entry
Enterprise accumulated experience and multi-source data
Unified cleansing and structuring into a graph-based knowledge base (knowledge map + vector retrieval + RAG)
Enterprise Knowledge BaseBusiness DocumentsHistorical ticketsCRM / ERPProduct ManualExpert ExperienceMore
Core Engine
Agent Engine - GrowthTop Middle Desk
Agent orchestration scheduling, Skill customization, contextual memory, multi-platform routing
Generation Ability
Text Generation
Script · Analysis · Q&A
GPTGemini
Image generation
Main figure · Detail page · Material
ImagenSeedream
Video Generation
Short Video · B-Roll
SeedanceVeo
speech synthesis
Narrator · Voice customization
ElevenLabs
Business Reach
Multi-platform message routing and document automation
Agent output is pushed directly to the business platform without manual handling
FeishuWeComDingTalkWeChatWooCommerce.comMini ProgramMore
Scenario Agent

Three main scenarios, so that the value can be revealed as soon as possible

Each scenario cuts from the real business: run through a high-frequency pain point, and then horizontally replicate to more departments

Customer service agent

24/7 AI customer service specialist

Based on the company's product knowledge base and multi-round dialogue capabilities, it automatically undertakes pre-sales consultation and after-sales service, allowing human agents to focus on high-value issues.

Core competencies
  • Multi-channel access (website / WeCom / Mini Program / APP)
  • Product Knowledge Base Smart Q&A
  • Automatic post-sales ticket creation and follow-up
  • Multi-Wheel Dialogue Understanding and Intent Recognition
  • Intelligent transfer of emotion recognition and human agents
  • FAQ Automatic Learning and Optimization
  • Service data statistics and quality analysis
Marketing agent

24/7 Smart Marketing Growth Engine

Covering the entire link from content production to the release of the review, freeing the marketing team from repetitive execution and focusing on strategy and creativity.

Core competencies
  • Multimodal auto-generation of marketing content
  • User portraits and personalized recommendations
  • Lead Scoring and Grading
  • Social media content intelligent orchestration publishing
  • Real-time monitoring and analysis of competition dynamics
  • Campaign Strategy Intelligence Recommendation
  • ROI Attribution and Effects Review
HR agent

Intelligent Human Resource Management Assistant

From recruitment and training to organizational inventory, leave transactional work to the agent and let HR focus on talent management.

Core competencies
  • AI Recruitment Resume Screening and Initial Appearance
  • Smart Generation of Employee Training Courses
  • Talent Assessment and Development Advice
  • HR Policy Intelligence Q&A
  • Automated employee check-in and check-out process
  • Organizational Talent Review and Analysis
  • Compensation Performance Data Intelligent Processing
Floor Cases

Running through the real business is the touchstone of the agent

The following cases are based on the delivery of the GrowthTop Agent - from content production to multi-role collaboration, covering e-commerce, self-media, private domain, comprehensive and home customization scenarios

E-commerce Content Automation
Food E-commerce
Rough material → AI analysis → can publish content from zero to stable weekly output
5x Efficiency Improvement
AI video content production
Content/From Media
Five-layer pipeline, from conception to full link, AI completes 70% of the workload
AI Completion 70%
RED Automation Operation
E-commerce/Private Domain Operations
Micro/Telegram Bot-driven, AI-generated content + review + scheduled release, full process automation
Full process automation
AI multi-role collaboration platform
General
86 AI expert roles, smart routing in Feishu groups, multi-role joint discussion
30 seconds to conclusion
Distribution Collaboration Agent
Home/Windows and Doors
The Agent connects 300+ scattered dealers into one collaborative network: parameters, regional prices and production status are captured in one place and synced in real time
300+ dealer nodes
Channel Support Agent
Home/Whole House Customization
The Agent handles round-the-clock channel enquiries — parameters, progress and after-sales — so frontline staff are no longer buried under repeated questions
24/7 instant response
Cases1：E-commerce Content AutomationFood E-commerce5x Efficiency Improvement
Pain Points
Content starts from scratch
Offline stores to go online, need to continue to publish content in RED/Douyin, but the team will not do the content at all
Material is rough and difficult to use
Product photos and videos taken by mobile phones are of poor quality and messy composition, and cannot be posted directly to social platforms
Professional production costs are high
Ask a professional team to shoot a video for thousands of yuan, and small businesses can't afford to continue to produce content
Scenarios and Results
Solution
Material Upload
Phone Capture/Import
AI Analysis Classification
Quality · Scenario · Label
Schedule Schedule
7-day publishing calendar
Content Generation
Copy · Narrator · Video
Multi-platform publishing
RED · Douyin
Data Recovery
Play · Interactive · Conversion
Feedback optimization ↻
Strategy Iteration · Material Multiplexing
Floor effect
5-7/weekZero to stable output
70%+Material Utilization
15 minSingle Idea to Launch
Cases2：AI video content productionContent/From MediaAI Completion 70%
Pain Points
High labor costs
A 1-minute short video, the traditional process takes 3–5 people to collaborate for 2–3 days
Missing complete pipeline
AI image and video tools are abundant, yet there is no end-to-end pipeline from concept to finished output.
Poor role consistency
The same character looks different in different scenes, and the audience plays
Chaotic material management
The generated materials are scattered everywhere. It takes more time to find materials than to use them as materials.
Scenarios and Results
Solution
Kernel Layer
Subject · Sentiment
Structural Layer
Scenography · Rhythm
Narrative Layer
Script · Line
Audiovisual Layer
Screen · Voice-over
Pre-synthesis
Drag into Jianying (CapCut)
Dual-engine drive
Doubao + Gemini
Character Consistency
Style Prompt + Reference Diagram
Material specifications
Standalone directory · Specification naming
Floor effect
AI 70%Manual control and refinement only
45 minutesOriginally took 2-3 days
Cases3：RED Automation OperationE-commerce/Private Domain OperationsFull process automation
Pain Points
Inefficient manual operation
It takes a long time to log in to multiple RED accounts every day to post content, switch accounts, edit, and publish
Unstable content quality
Manually written manuscripts are greatly affected by the status, the style is difficult to unify, and occasionally step on the red line of the platform.
Scheduling management chaos
The release time and frequency of multi-account and multi-platform cannot be systematically managed.
Scenarios and Results
Solution
Micro/Bot entrance
Order issued
AI-generated content
Title · Body · Label
Manual Review
One-click Approval/Modification
Publish After
RED automatic sending
Floor effect
Fully AutomatedNo manual effort from build to publish
Multiple accountsManaging N accounts per person
Cases4：AI multi-role collaboration platformGeneral30 seconds to conclusion
Pain Points
Limitations of a single AI perspective
One conversation does not provide multi-angle professional analysis, and it is easy to miss blind spots
High cost of cross-disciplinary consulting
If you encounter a comprehensive problem, you need to find multiple experts such as product, technical, legal, financial, etc.
Collaboration is inefficient
The expert opinions are scattered in different conversations, and the integration is completely manual.
Scenarios and Results
Solution
Ask Questions
Feishu group / WeChat
Intelligent Routing
Match relevant experts
Multi-Role Discussion
86 AI experts
Summary Conclusions
Structured Output
Floor effect
30 secondsMulti-Role Joint Discussion for Conclusions
86 ExpertsFull coverage of 11 departments
Cases5：Distribution Collaboration AgentHome/Windows and Doors300+ dealer nodes
Pain Points
Price varies by caliber
With 300+ distributors nationwide each holding their own regional price and promotion policy, external quotes rarely match up and disputes follow easily
Discharge Progress Cleavage
Where the order is arranged, the headquarters and the channel look at each other, and the customer reminder can only be verified back and forth by phone.
New product parameter fault
The product parameters have changed, the album form is too late to change, and the channel is still talking to customers with the old version
Newcomer onboarding is slow
The product is highly professional, and it takes a long time for new business representatives to dare to independently connect with distributors
Scenarios and Results
Solution
Knowledge Hub
Parameters · Hardware · Process · Policy unified accumulation
Regional Prices
One-click lookup of 300+ dealer price differences
Scheduling synergy
Order status HQ synchronized with channel in real time
Newcomer accompanying training
Xiaobai started talking on the same day
Portal Integration
DingTalk · Feishu unified access
Uniform caliber
Price policy update omni-channel sync in one place
Collaboration Network
300+ dealer nodes online
Floor effect
300+Distribution nodes are connected into a collaborative network
Real timePrice policy update omni-channel sync in one place
On the dayNew hires can handle dealers on their own
Cases6：Channel Support AgentHome/Whole House Customization24/7 instant response
Pain Points
Surge in inquiries
500+ dealers send in a flood of questions on parameters, processes and quotes every day, leaving the service desk overwhelmed
Progress Query Busy
"Where is my order? When will it ship?" — the same calls and messages come in all day, and the same answer is repeated over and over
Chaotic after-sales caliber
After-sales questions can be answered by anyone, the answers are different, and the customer experience is different.
No answer from the newcomer
The new customer service is unfamiliar with the process sheet, and the wrong answer parameters cause the chargeback.
Scenarios and Results
Solution
Knowledge Hub
Process · Plate · Parameters · Policy Accumulation
Intelligent Q&A
Parameter Process Second Response
Progress Query
Check the status of your order at any time
After-sales assistant
Standard caliber unified response
Omnichannel Portal
DingTalk · WeCom · Feishu · WeChat
24/7 online
Consulting is no longer busy
Transfer to Labor
One-click escalation for complex issues
Floor effect
7×24Channel Inquiry Second Level Answer
500+Distribution node unified customer service
Decrease by 60%Repeatedly consulted manpower
The enterprise agent factory

Four-tier architecture system, progressing from the model to the application layer

Accumulate fragmented AI capabilities into enterprise reusable infrastructure - build an agent today, replicate an AI team tomorrow

LAYER 1

Application

Business-oriented Agent Matrix
Customer service agentMarketing agentHR agentIndustry-specific agents
LAYER 2

Choreography Layer

Agent Capability Middle Office
Agent Orchestration EngineMulti-Round Conversation ManagementTool Call FrameMemory Management
LAYER 3

Knowledge Layer

Enterprise Knowledge Base
Enterprise Knowledge BaseVector DatabaseKnowledge graphRAG retrieval augmentation
LAYER 4

Model Layer

Model and computing power base
Generic Large ModelIndustry fine-tuning modelPrivate DeploymentMultimodal model
Technological Advantage

Why Enterprise Agents are deserve serious investment

From response quality to system integration, the four dimensions ensure that agents are “trustworthy, usable, and growable”

Dedicated Knowledge Base

Based on the real data of the enterprise, the answer is based on evidence, and the illusion of large models is eliminated.

Tool call

Can be connected to CRM, work orders, ERP and other systems, agents can not only chat, but also do things

Human-Machine Collaboration

Manual intervention and transfer at any time, emotion recognition and quality inspection mechanism online throughout the process

security compliance

Permission isolation, audit logs and privatization options, data sovereignty is always in your hands

DEVELOPMENT WORKFLOW

Five-step delivery from business diagnostics to ongoing operations

Clear deliverables at every step: Knowledge Base, Conversation Flow, Integrated Interface and Quality Inspection Report

01

Business Diagnostics

Comb through high-frequency, repetitive, standardizable business scenarios, evaluate ROI and priorities, and determine the boundaries of agent value.

02

Co-created solutions

Design dialog flow, tool call, and knowledge base structure, and output interaction prototypes and effect expectations.

03

Development & Training

Knowledge base processing, agent orchestration and model fine-tuning to connect the enterprise system API.

04

Grayscale Online

Small flow trial run, manual agent and agent collaborate to continuously correct the answer quality.

05

Ongoing Operations

Data feedback training, knowledge base weekly updates, agent capabilities grow with the business.

Deployment Options

Cloud-hosted or privatized, on-demand

Same agent capability, two delivery modes to meet different security and cost requirements

Cloud Hosting

Out of the Box

Zero operation and maintenance started, and with the elastic expansion of business volume, it is suitable for quickly verifying the value of the scenario.

  • Get up and running quickly
  • Elastic Hashrate
  • Pay as you go
  • Official Escrow O&M

Private Deployment

Data does not leave the domainRecommended · Worry-free compliance

The models and data are all deployed on the corporate intranet to meet security compliance and data sovereignty requirements.

  • Data does not leave the domain
  • Model optional interchangeable
  • Intranet Isolation
  • Adapting to the ITC environment
FAQ

Regarding enterprise agents, you may want to ask

From concept differentiation to landing cycle, turn uncertainty into actionable expectations

What is the difference between an agent and a normal chatbot?

The chatbot responds by default; the agent has the ability to understand intent, multiple rounds of memory, tool calls, and self-execution - it can check your knowledge base, create work orders, call CRM data to complete real business actions, and answer traceable and quality inspection.

How many enterprise profiles does the agent need to start?

You can start with a high-frequency scenario: such as product data + after-sales policy + FAQ, and the first customer service agent can be launched within two weeks. The knowledge base will continue to expand with the operation, and we provide content processing and weekly change services.

Can it be deployed locally? How is data secured?

Supports privatized deployment, and all models and data are left on the corporate intranet; the cloud solution provides tenant isolation, transmission encryption, and permission auditing. Companies that are sensitive to data sovereignty, such as finance and manufacturing, often opt for privatization.

Can the agent interface with our existing systems?

Yes. The Agent connects to your existing systems through a tool-calling framework — website, WeCom, Mini Program, CRM (including ZOHO), ticketing and ERP — and only when those are integrated can it truly act on your behalf.

Cycles and quotes for an agent project?

Standard customer service/marketing/human agents typically deliver the first release in 3-6 weeks, with quotes depending on the number of scenarios, the size of the knowledge base, and the complexity of system integration. Output plans and quotes after free diagnosis.

Get Started

Give your business a 24/7 AI employee

Tell us about the business scenario where you most want to be effective, and we will help you judge whether it is suitable for becoming an agent.

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Answer in one line · TL;DR

Agent custom development is the "experience translation layer" built by GrowthTop for enterprises: "feed" the workflow and knowledge of the enterprise to AI, and let AI automatically execute according to the rules - the technology stack runs through the enterprise data → accumulation agent engine → multi-modal generation → business reach, covering high-frequency scenarios such as customer service, marketing, manpower, etc. It has landed in e-commerce content automation, AI video production, RED automation operation, multi-role collaboration, and customized parameters/channel agents for doors, windows, and the whole house, and provides flexible options from cloud hosting to privatization deployment, accumulating into a reusable "enterprise intelligent sports field".