AI / LLMChina
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JOURNEY · DETAIL
All in Agent — AI Operations & Customer Service Automation Platform
Founded: Zhang Hui · All in Agent Technology Co., Ltd.
JOURNEY
Key Fields
FIELD STAMPSIndustryAI / LLM
RegionChina
ScaleSME
ChannelOther
Origin
While overseeing the customer service system at DingTalk, founder Zhang Hui felt that traditional script-based bots could not handle diverse user needs. After resigning in 2022, he co-founded All in Agent with two technical partners, combining RPA process orchestration with LLM natural language understanding to create self-learning customer service and operations agents. Public records indicate that in its early stages, the team consisted of only 5 people, with an ARR of approximately 3 million RMB and about 2,000 users (based on public data).
Milestones
2022
Founding Turning Point
In 2022, Zhang Hui left DingTalk and co-founded All in Agent with two technical partners, aiming to launch the first RPA+LLM-based customer service automation prototype by 2023, securing $2 million in seed funding.
2023
Seed Funding Growth
Raised $3 million in angel funding, expanded the team from 2 to 5 members, launched the first version of the AI Agent bot, piloted it with 10 SMEs, and processed a cumulative 120,000 customer service conversations.
2024
Achieving PMF Growth
Signed 30 enterprises, reached an ARR of $3 million, processed over 20,000 automated tickets daily, and achieved commercial revenue for the first time, while discovering that self-developed LLM computing costs accounted for over 60% of expenses.
2025
Cost Crisis Failure
Due to high costs of the self-developed LLM, cash flow turned negative. Some paying customers churned due to latency issues, causing ARR to drop from $3 million to $1.8 million, pushing the team into a financial crisis.
2025
Organizational and Product Restructuring Turnaround
Within just 5 weeks, the company decided to abandon the self-developed model, pivot to integrating third-party LLM APIs, and reposition the product as an internal enterprise operations automation platform. The team structure shifted from functional to project-based, leading to the signing of 10 new customers and a recovery in growth momentum.
Turning Points
- Shifted from self-developed LLM to third-party APIs, significantly reducing computing costs
- Decided to abandon high-priced packages and focus on internal enterprise operations scenarios
- Completed a full-scale restructuring of organizational structure and product features within 5 weeks
Failures & Pitfalls
- High costs of self-developed models led to cash flow depletion
- Neglecting customer concerns regarding data security caused the loss of key clients
- Rapid team expansion led to a surge in organizational coordination costs
关键成功要素
- Deep integration of AI Agent and RPA enhances automation efficiency
- Balancing LLM costs and revenue is critical for platform survival
- Rapidly iterating organizational structure helps in pivoting during crises
- Customer-driven product roadmaps prevent technical silos
Lessons
- Technology selection must balance cost-effectiveness; blindly pursuing the cutting edge can lead to cash crises
- Early validation of the business model is more important than merely pursuing technical leadership
- Maintaining a flexible organization enables rapid product restructuring during crises
- Transparent communication helps retain core customers and reduces churn risk
Core Data
- 融资额：$1.4 million (approx. 10 million RMB, based on public data, not independently verified)
- 年度经常性收入：$420,000 (approx. 3 million RMB, based on public data, not independently verified)
- 团队规模：5 people (based on public data, not independently verified)
- 用户数：2,000 users (based on public data, not independently verified)
- 月活跃用户：1,500 users (based on public data, not independently verified)
Competitors / Peers
In the domestic AI Agent automation niche, major competitors include Yilai Technology (RPA+AI solutions), Creao AI (Agent OS platform), and global giants UiPath and Automation Anywhere. Yilai Technology focuses on enterprise-level process orchestration and has received tens of millions of dollars in investment from Alibaba Cloud; Creao AI focuses on cross-modal Agent OS and has completed tens of millions of dollars in financing; UiPath and Automation Anywhere dominate the mainstream market with their global presence. All in Agent differentiates itself by focusing on SME operations and customer service scenarios, utilizing a rapidly iterating organizational model, and integrating low-cost third-party LLMs.