Handling over 600 daily inquiries with high efficiency: How does Intercom empower an AI design platform to serve 200,000 users worldwide?
In the current explosion of AI products, a common challenge plagues many innovative companies: user growth often outpaces the speed of building a customer service system. It’s like a sudden carnival—a product becomes an overnight sensation, and inquiries flood in instantly. However, a lean support team simply cannot catch this “burden of growth.” Unresolved issues pile up, response times lag, and the user experience plummets. This inefficiency risks stalling the very momentum the company worked so hard to build.
This is especially true for early-stage startups where team size is limited and resources are tight. As global user inquiries continue to climb, the key to sustainable success lies in ensuring every user feels supported with high-touch, efficient service—even when manpower is short.
One company focusing on the AI design field faced exactly this predicament. Upon release, their product quickly gained a massive following among global designers and creators due to its seamless creative experience. At that moment,
their customer service team consisted of only 5 people. Facing a tidal wave of inquiries, they knew they didn’t just need a simple chat tool; they needed an intelligent service ecosystem that could scale with their business and support a global user base.
Ultimately, with the full support of the DKMECO team, they introduced the Intercom intelligent service platform. By deploying quickly, this 5-person team was able to handle global demands with ease, effectively safeguarding the company’s continued business growth.
Client Profile: A Fast-Rising AI Design Platform
The mission of this company was simple: use artificial intelligence to break down design barriers, making complex creative processes simple and efficient so that anyone with a creative need could easily produce high-quality designs. This mission allowed their product to capture global attention immediately upon launch, sending user numbers soaring.
In 2025, the company successfully completed a $130 million Series B funding round, providing a powerful engine for development. From starting closed beta in May to launching the official public beta in July, the user base achieved leapfrog growth in just a few months, reaching a staggering $30 million ARR in only 4 months. Meanwhile, the platform maintained a daily active user (DAU) count of 200,000. Every number represented market validation and the trust of global users.
However, hidden behind this rapid growth were significant concerns. At the time, the entire support team had only 5 members to handle inquiries from users across different countries and time zones. As brand awareness grew, so did the volume of inquiries. The team realized that without a mature service system as a foundation, rapid growth would be unsustainable.
Source: The above data is from official company disclosures and authoritative media reports such as 36Kr and Sina Finance.

Core Challenges: Soaring Inquiry Volumes Pushing a 5-Person Team to the Limit
As the business expanded, the shortcomings of the original service system became apparent. Every challenge tested the limits of this small team.
01. Lack of a Unified Professional System Leading to Disjointed Service
In the early days, the team relied on simple tools to manage inquiries, lacking a comprehensive platform for unified communication. As overseas users grew, they urgently needed features like Messenger live chat, AI auto-replies, automated Workflows, multilingual translation, and customer assignment/tagging. Their existing tools couldn’t meet these needs, resulting in fragmented processes and inconsistent quality.
02. Inability to Handle the Surge in Inquiries, Slowing Response Times
With the product’s popularity, inquiries quickly climbed to over 600 per day. This was near the breaking point for a 5-person team. Staff were constantly switching between issues, increasing stress and making it impossible to guarantee response speeds. Some inquiries were even missed or delayed, causing significant anxiety within the team.
03. Lack of Sophisticated Retention Mechanisms to Curb Churn
As the subscription business grew, a new problem emerged: some users intended to request refunds due to technical issues or lack of familiarity with features. The existing system lacked specific communication strategies or tools to support fine-grained follow-ups and retention efforts, leaving the team to watch helplessly as users churned.
At this point, an intelligent customer service system capable of automatically handling inquiries, improving efficiency, and supporting global communication became an “urgent necessity.”

The Solution: Building an AI-First Customer Service System
Based on the company’s stage of development and actual business needs, the DKMECO team designed a tailored intelligent service solution centered around Intercom. Through rapid deployment and optimization, they helped the company build a complete system to overcome growth-related service hurdles.
01. Building a Complete Service Architecture to Fill the Gaps
In the initial phase, we deployed Intercom Advanced for the enterprise, activated Copilot for 6 agents, and enabled core modules like Fin AI and Onboarding. This configuration not only handled daily inquiries with ease but also leveraged AI automation to optimize the entire workflow, moving the system from “fragmented” to “systematic.”

02. Establishing an “AI-First + Human Collaboration” Model
The service strategy adopted an “AI-First, Human Collaboration” mechanism. Large volumes of standardized, repetitive questions—such as feature usage and login issues—were handled automatically by Fin AI, automated Workflows, and the Help Center. Users received accurate answers instantly without waiting. Only complex or unique issues were automatically routed to human agents for one-on-one deep communication.
Simultaneously, the support team was restructured into multiple specialized groups. Each group focused on a specific type of complex problem, resulting in clearer division of labor, more professional service, and a significant boost in overall efficiency.
03. Adapting to Global Users and Breaking Communication Barriers
Given the large number of overseas users, the system prioritized the Messenger live chat channel and configured AI auto-replies, multilingual translation, and intelligent customer assignment. Regardless of the user’s country, they could reach out through familiar channels without language barriers. The team also used user tags to quickly gain insights and perform precise follow-ups, ensuring global users received a localized, attentive experience.

04. Rapid Deployment and Launch to Support Immediate Business Needs
To alleviate support pressure as quickly as possible, the project followed a rapid launch strategy. The DKMECO team provided a one-week trial for the team to familiarize themselves with the system and verify business fit, followed by an official launch in the second week. Even though the Help Center wasn’t fully completed at the time, the system successfully went live, handling daily inquiries and immediately “lightening the load” for the team.
Project Impact: A Small Team Serving the World Efficiently
After the Intercom system went live, the support team’s work underwent a transformation. Once chaotic processes became orderly, repetitive tasks were replaced by AI, and the team shifted from “reactive response” to “proactive service.”
01. Massive Boost in Human Efficiency and Reduced Team Stress
Under the new system, AI handled the vast majority of standardized inquiries, significantly reducing the workload for human agents. Statistics after three months of stable operation showed that the overall workload for the support team decreased by approximately 70%. Members were no longer consumed by repetitive questions and could focus on complex problem-solving and key user interactions.
02. Doubled Inquiry Capacity with Timelier Responses
Previously, without a professional system, the 5-person team struggled to maintain stability. After the Intercom launch, data reports showed the team could easily handle 600 inquiries per day. Issues were responded to and resolved quickly, avoiding missed messages and delays, which significantly boosted user satisfaction.
03. Standardized Processes and Consistent Service Quality
Through Fin AI and automated Workflows, many common issues were organized into standardized handling procedures. Users received consistent and accurate answers faster. This standardization not only improved efficiency but also stabilized service quality, enhancing the brand’s reputation.
04. Sustainable Optimization Scalable with Business Growth
The team continued to refine the AI knowledge base and automated flows after the launch. As inquiry data accumulated, the proportion of automated AI resolution gradually increased. In the future, the number of issues requiring human intervention will decrease further, allowing the service system to evolve alongside business growth.

Voice from the Frontline: From “Anxious Chaos” to “Confident Efficiency”
After running the system for some time, every member of the support team felt the change. A support lead shared during an internal review:
“Before, the biggest daily stress was the constant pinging of messages and the fear of losing customers due to slow replies. Now, with Intercom AI handling common questions, the team only needs to focus on truly complex issues. The pace of work is much more manageable, and we have more energy to refine the user experience, which brings a great sense of accomplishment.”
For them, Intercom is not just a service system; it is a “capable assistant” that has allowed them to truly focus on a “user-centric” approach.
AI Intelligent Service: The “Hardcore Support” for Enterprise Growth
For fast-growing internet products, a customer service system is no longer just a “communication tool”—it is critical infrastructure that supports user experience and shapes brand reputation. Intercom, with its powerful AI automation and flexible human-machine collaboration, enables companies to maintain stable, efficient service during rapid expansion. It allows small teams to handle large business volumes, solving the “growth vs. service” dilemma.
In the future, DKMECO will continue to accompany more enterprises in their growth. From system deployment and automated flow design to continuous AI knowledge base optimization, we help companies build intelligent service systems. We ensure service capabilities keep pace with business growth, making every user interaction warm and efficient, and turning service into a core driver of long-term development.
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As an Intercom China Partner (Official Authorized Agent), DKMECO is committed to providing comprehensive product consultation, deployment, and technical support to ensure enterprises use Intercom efficiently and safely. To learn more or purchase Intercom products, please contact us.
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