Do you spend hours reviewing complex technical marketing posts? Do you struggle with editing banner graphics and multi-channel scheduling? Therefore, your business needs a dedicated AI Agent Marketing system. This solution liberates your engineering resources and optimizes B2B marketing.
This article shares the digital transformation story of POPTECH (Power Of Passion Technology Solutions). They provide premier ICT infrastructure for EVNCPC and Nam A Bank. However, marketing their complex technology solutions was a major challenge. Consequently, they automated B2B tech marketing using HILAB's next-generation AI orchestration.
1. Operational Challenges & Pain Points at Poptech
Poptech is a large enterprise ICT integrator. Therefore, they offer a broad portfolio of technical services. These services include Avaya Contact Centers, VMware NSX, Zóng Bot, and Pentesting.
However, they faced a critical bottleneck in B2B marketing. Specifically, B2B tech marketing requires extreme technical accuracy. The content must convince IT Directors and Managers. Consequently, traditional copywriters could not write these posts. Core system engineers had to write them instead. This distracted engineers from main project deliverables.
In addition, manual collaboration caused severe delays. Workflow stages were fragmented across Zalo and Email. As a result, publication times extended to weeks.
Furthermore, multi-channel distribution required manual reformatting. This process consumed valuable hours of repetitive work daily.
In conclusion, the root cause was the lack of an automated data bridge. Therefore, senior staff wasted hours on manual operational tasks.
2. HILAB's Solution: Redesigning Workflows with Multi-AI Agents
HILAB realized that generic AI chatbots cannot solve Poptech's B2B tech marketing. Instead, the solution requires a collaborative AI Agent Marketing workflow (Markee AI). This system learns from Poptech's documents. In addition, it manages the entire content lifecycle. Subsequently, we built a multi-agent system with 6 specialized agents:
- AI Planner: This agent plans topics based on Poptech's services.
- AI Content Writer: This agent drafts technically accurate posts using company documents.
- AI Designer: This agent generates visual banners using DALL-E 3 technology.
- AI SEO Specialist: This agent optimizes keyphrases for B2B search target.
- AI Social Media Manager: This agent formats posts for LinkedIn and Facebook.
- AI Campaign Coordinator: This agent analyzes metrics to refine the planning queue.
3. Implementation Details: Solving Core Pain Points
The system liberates Poptech's engineers from marketing tasks. Therefore, they can focus on project delivery.
First, the system automates research and drafting. The AI Content Writer uses long-term memory to understand Zóng Bot. As a result, it produces high-quality drafts without engineer effort.
Next, visuals are generated instantly. The AI Designer analyzes technical text to create brand-aligned banner graphics. Consequently, this eliminates the 2-day design queue.
Finally, the system automates publishing and reporting. It schedules posts on professional channels. In addition, it analyzes metrics to iterate content quality.
4. Technology Stack & Delivery Team
We designed a modern architecture for this system. Consequently, it ensures low-latency multi-agent orchestration.
| Layer | Applied Technologies |
|---|---|
| Frontend / Dashboard | NextJS |
| Backend / API Services | Python (FastAPI / NestJS) |
| AI Orchestration | Gemini AI (Vertex AI) & OpenRouter |
| Long-term Memory | Mem0 (For storing Poptech's service context) |
| Database | PostgreSQL & Redis |
- Delivery Team: 1 PM · 1 BA · 2 AI Engineers · 1 Frontend Developer · 1 QA Engineer.
5. Real Results: Before vs. After Comparison
Here is Poptech's operational transformation after integration:
| Operational Metric | Before Implementation | After HILAB Integration |
|---|---|---|
| Technical Drafting Time | Took up to 5 days (demanding core engineer hours for drafting and editing). | Reduced to 4 hours (engineers spend only 10 minutes performing final QA). |
| Diagram & Banner Design | 1–2 days queue due to internal designer overloading. | Generated instantly by the AI Designer as soon as content is approved. |
| Multi-channel Distribution | Manual copy-pasting across platforms; time-consuming. | 100% automated publishing and format optimization across channels. |
| Knowledge Base Integration | Technical project documentations sat idle in archives. | Centralized into the AI memory as core raw material for content production. |
In conclusion, a custom AI Agent Marketing system saves developer hours. Moreover, it builds a consistent expert presence in the market.
Are you struggling to communicate complex technical solutions to the market? Discover HILAB's Artificial Intelligence Services (AI Services) now. In addition, explore our AI products like Markee AI and HiChat. Book a free consultation with HILAB to design your automation workflow.
Learn more about HILAB solutions: HiChat — Omnichannel Chatbot | HILABDP — Data Operating System | View all Case Studies