Case Studies
Case Studies
ADFAIRWAY builds digital workforces and generative search visibility systems that turn AI capability into owned business infrastructure.
1. Cross-Border E-Commerce: Multi-Lingual Intelligent Customer Service EmployeeRead case details
- Industry Context: A mature fashion e-commerce brand driving $8M in annual GMV, primarily targeting North American and European markets.
- Challenge & Baseline Costs: Inundated with 24/7 multi-time-zone inquiries regarding sizing, logistics tracking, and returns. The brand previously outsourced 6 full-time overseas customer service reps at a fixed cost of ~$12,000/month. Due to time-zone gaps, the drop-off rate for European night-time orders consistently hovered around 15%.
- AI Employee Solution: AI Multi-Lingual Customer Service Employee
- Tech Stack: Dify + GPT-4o + Shopify API + Zendesk + Claude 3.5 Sonnet
- Results & Key Metrics:
- Cost Savings: Handled 78% of repetitive first-tier inquiries, directly offloading 4 full-time reps and saving $8,000/month.
- Workload Automated: Automated 12,000+ monthly interactions for size recommendations and order tracking, leaving human agents to step in only for complex refund disputes.
- 24/7 Performance: Achieved instant, round-the-clock responses (slashing first-response time from 45 minutes to 3 seconds), lifting overnight order conversion rates by 18%.
2. Local Professional Services: Cross-Border Legal Intake & Sales AssistantRead case details
- Industry Context: A Hong Kong-headquartered legal and corporate registration advisory firm catering to SMBs across the APAC region.
- Challenge & Baseline Costs: The website and WhatsApp channels were flooded daily with unstructured, entry-level regulatory inquiries. Two junior legal assistants were assigned to handle compliance filtering and lead organization at a cost of HKD 45,000/month. Due to the time required to research cross-border regulations, response delays often exceeded 24 hours.
- AI Employee Solution: AI Legal Intake & Sales Assistant
- Tech Stack: Coze + Claude 3.5 Sonnet (High-Reasoning Version) + WhatsApp Business API + Vector DB (Internal Regulatory Knowledge Base)
- Results & Key Metrics:
- Cost Savings: Completely automated junior lead classification, saving HKD 30,000/month in baseline operational costs.
- Workload Automated: 100% automated structured screening of prospective clients (verifying corporate entity qualification, industry vertical, and specific needs), generating standardized briefs pushed directly to senior lawyers' inboxes.
- 24/7 Performance: Boosted funnel conversion rate by 35% while providing 24/7 coverage for late-night urgent legal inquiries from overseas corporate clients.
3. Finance & Cross-Border Trade: Multi-Currency Invoice & Audit EmployeeRead case details
- Industry Context: A multinational trading enterprise processing $3M in monthly transaction volume with frequent supply chain procurement across Southeast Asia.
- Challenge & Baseline Costs: Managing non-standard invoices, proforma invoices, and logistics bills across 5 different languages and currencies. Three finance assistants manually handled OCR verification, category reconciliation, and bookkeeping. This baseline audit cost reached ~RMB 35,000/month and was highly prone to manual data-entry omissions.
- AI Employee Solution: AI Financial Ledger & Audit Employee
- Tech Stack: Gemini 1.5 Pro (Large-Context Vision Capabilities) + Make.com + Odoo ERP + Google Drive
- Results & Key Metrics:
- Cost Savings: Slashed baseline invoice reconciliation and sorting hours by 85%, saving RMB 22,000/month in baseline labor costs.
- Workload Automated: Processed 3,000+ non-standard, multi-lingual bills per month. The AI handled text extraction, real-time multi-currency exchange rate conversion, and automated PO matching, while triggering risk alerts for any financial anomalies.
- 24/7 Performance: Downstream suppliers can submit invoices at any time (24/7); the system completes initial audit and archiving within 5 minutes, compressing the reimbursement cycle from 7 days down to just 1 day.
4. Training & B2B Events: End-to-End Event Planning & Logistics EmployeeRead case details
- Industry Context: An APAC-based training and consulting agency hosting 2-3 high-end offline global summits and closed-door salons every month.
- Challenge & Baseline Costs: Each event demanded massive administrative effort to draft speaker invitations, build custom execution checklists, and reconcile dozens of vendor lists (venue, setup, marketing collateral). Two event executives worked heavy overtime, racking up fixed and overtime costs of ~RMB 28,000/month.
- AI Employee Solution: AI Event Operation Employee
- Tech Stack: ChatGPT (GPT-4o) + Notion API + DeepL API + Feishu/Lark Automation
- Results & Key Metrics:
- Cost Savings: Reduced prep time by 40 hours per event, freeing up 1.5 full-time equivalents (FTEs) and yielding an equivalent savings of RMB 18,000/month.
- Workload Automated: Automatically generated complete Run-of-Show (RoS) documents based on event themes, drafted hyper-personalized speaker outreach copy, compiled vendor compliance checklists, and automated follow-up reminders for deliverables.
- 24/7 Performance: Monitored registration forms 24/7. Overseas attendees received tailored confirmation emails and schedule pushes matched to their professional backgrounds within seconds of signing up.
5. Global Gaming & Publishing: Social Media Multi-Lingual Matrix Marketing EmployeeRead case details
- Industry Context: A mobile game publishing studio targeting Latin American and Southeast Asian markets.
- Challenge & Baseline Costs: Required high-frequency, multi-lingual community engagement and version update promotions across X (Twitter), Discord, and Facebook. Relying on 3 freelance overseas copywriters (Spanish, Portuguese, Thai) cost ~$6,500/month in copywriting and proofreading fees, yet time-zone differences frequently prevented them from capitalizing on real-time trending topics.
- AI Employee Solution: AI Social Media Localization Marketing Employee
- Tech Stack: Claude 3.5 Sonnet + Perplexity API (Real-Time Trend Retrieval) + Buffer API + Discord Bot
- Results & Key Metrics:
- Cost Savings: Trimmed daily promotional outsourcing costs by 80%, directly saving $5,200/month.
- Workload Automated: Automatically scraped sudden gaming trends, matched them against the game’s lore, and generated/published 15 highly localized social posts daily (optimized with local slang), while handling baseline player FAQ responses on Discord.
- 24/7 Performance: Delivered 24/7 ironclad community monitoring and trend response, driving community engagement rates 44% higher than the period of manual operations.
6. DTC E-Commerce: Advanced Ad Visual Copy & Creative Brief Generation EmployeeRead case details
- Industry Context: A DTC smart-home brand independent store with a $1M annual self-managed ad spend targeting North America.
- Challenge & Baseline Costs: Faced the pressure of iterating on hundreds of Meta/Google ad creatives every week. The brand relied on 2 junior visual designers and 1 copywriter to churn out landing page copy and visual briefs for 3D modelers. This cost ~RMB 40,000/month, and the creative output frequently hit a wall of homogenization.
- AI Employee Solution: AI Creative Director Assistant
- Tech Stack: Midjourney API + GPT-4o (Vision) + Figma Plugin API + Claude 3.5 Sonnet
- Results & Key Metrics:
- Cost Savings: Compressed the production cycle for ad creative testing from 3 days down to 2 hours, saving RMB 26,000/month in design outsourcing and drafting costs.
- Workload Automated: Bulk-generated high-CTR Facebook ad hooks and automatically outputted 3D rendering visual briefs complete with precise composition, lighting, and color palette instructions. Developers could feed these briefs directly into Stable Diffusion or pass them straight to modelers for final execution.
- 24/7 Performance: Replied 24/7 to the media buying team's demand for winning ad variants. If a product's conversion rate surged at midnight, the AI could instantly spin out 10 sets of matching visual creatives.
7. Financial Investment: Global Macro Market Monitoring & Daily Report EmployeeRead case details
- Industry Context: A small-to-mid-sized boutique offshore hedge fund (Asset Management) focused on digital assets and US technology equities.
- Challenge & Baseline Costs: Global markets (US, Europe, Asia) rotate seamlessly without interruption. The fund previously employed 2 junior research assistants to work night shifts monitoring Reuters, Bloomberg terminals, Crypto Twitter (X), and on-chain whale movements to manually compile market anomaly reports. This manual monitoring cost HKD 60,000/month.
- AI Employee Solution: AI Market Intelligence & Operations Employee
- Tech Stack: Custom Python Aggregator + Perplexity API + GPT-4o + Telegram/Slack Bot
- Results & Key Metrics:
- Cost Savings: Replaced tedious, error-prone overnight manual monitoring, saving HKD 45,000/month in research assistant compensation.
- Workload Automated: Scanned 200+ data sources per second to filter out market noise. Utilized LLMs to conduct instant sentiment polarity analysis (Bullish/Bearish) on breaking news (e.g., Fed official speeches) within 3 seconds, while extracting core on-chain movement metrics.
- 24/7 Performance: Delivered true 24/7, millisecond-level risk alerts. Every morning at 6:00 AM, a structured summary and compliance report of the past 24 hours of global markets is automatically pushed to fund managers' tablets.
8. B2B Software & SaaS: Private Knowledge Base & Multi-Lingual Internal SOP Training EmployeeRead case details
- Industry Context: A multinational SaaS company with 150 employees and a distributed, remote workforce operating across 3 countries under rapid product iterations.
- Challenge & Baseline Costs: High friction and overhead in onboarding new hires and aligning cross-functional teams (e.g., Technical Support and Sales). HR and senior architects wasted hours daily answering repetitive questions about API configuration flows or the latest compliance policies. Hidden communication and training costs were estimated to exceed $8,000/month.
- AI Employee Solution: AI Corporate Knowledge Assistant
- Tech Stack: Qdrant (Vector Database) + LlamaIndex + Claude 3.5 Sonnet (On-Premises or Premium Enterprise Deployment) + Slack App
- Results & Key Metrics:
- Cost Savings: Shortened new-hire time-to-productivity from 4 weeks to 9 days and reduced redundant cross-departmental interruptions by 65%, saving an equivalent of $5,500/month in management overhead.
- Workload Automated: 100% automatically parsed and indexed tens of thousands of internal Notion docs, GitHub Wikis, and recorded meeting minutes (transcribed via Whisper), delivering precise, paragraph-cited bilingual SOP answers.
- 24/7 Performance: Allowed cross-time-zone remote employees to ask questions at any hour without waiting for the Hong Kong or US headquarters to start work, getting instant, expert-level technical and compliance answers on Slack.
9. Traditional B2B Manufacturing & Export: Multi-Channel International Lead Follow-Up & Qualification EmployeeRead case details
- Industry Context: A mid-sized manufacturing factory based in South China specializing in commercial smart-LED lighting exports to B2B wholesalers in the Middle East and Europe.
- Challenge & Baseline Costs: Accumulated highly fragmented leads across Alibaba International, the official website, and trade shows. Three export sales reps spent 4 hours a day blasting cold follow-ups to unresponsive accounts or dealing with low-quality "price-only" spam inquiries, costing ~RMB 24,000/month in basic overhead.
- AI Employee Solution: AI Lead Qualification & Nurturing Employee
- Tech Stack: Make.com + GPT-4o + HubSpot CRM + Resend (Asynchronous Email Engine)
- Results & Key Metrics:
- Cost Savings: Enabled sales reps to focus 100% on high-intent, large-ticket deals. The AI filtered out 92% of spam inquiries, improving human efficiency and saving an equivalent of ~RMB 16,000/month.
- Workload Automated: Upon receiving an inquiry, the AI automatically reverse-searched the client's company size and background via their email domain, sent a tailored product catalog, and launched a smooth, 7-day dynamic multi-round email nurturing sequence based on the prospect's responsiveness.
- 24/7 Performance: When Middle Eastern wholesalers sent inquiries during their local working hours (late night HK time), the AI performed background analysis and replied within 10 minutes. This 24/7 responsiveness rocketed the initial meeting booking rate for overseas B2B clients by 210%.
10. Local Chain Retail/Medical: Cross-Platform Multi-Store Customer Service & Booking EmployeeRead case details
- Industry Context: A high-end dental and medical aesthetics chain brand with 12 clinics across the Greater Bay Area.
- Challenge & Baseline Costs: Traffic was scattered across Xiaohongshu, Dianping, WeChat Official Accounts, and the official website. The brand employed 4 online customer service reps on a shift rotation to handle highly standardized questions ("How much for a teeth cleaning?", "Is the weekend slot available at X branch?") and capture phone numbers. Shift rotation and night-time overtime premiums ran ~RMB 32,000/month.
- AI Employee Solution: AI Multi-Channel Booking Clerk
- Tech Stack: Dify + WeChat Open Platform/Third-Party WeCom Sidebar API + GPT-4o + Meituan/Dianping Open API
- Results & Key Metrics:
- Cost Savings: Fully absorbed 90% of online consultations during weeknights (22:00 - 08:00) and weekends, completely cutting out night-shift outsourcing premiums and netting RMB 20,000/month in savings.
- Workload Automated: Automatically answered questions about price lists, compared doctor qualifications, integrated with the in-store booking system to check Saturday openings in real time, and systematically guided users to leave their contact info to lock in appointments.
- 24/7 Performance: Captured late-night "anxiety-driven" or impulsive consumer leads 24/7, reducing overnight lead drop-off to zero. The overall online-lead-to-clinic show-up rate steadily climbed by 28%.
11. Quantitative Trading & Hedge Funds: Multi-Strategy Factor Monitoring & Event-Driven Trading AssistantRead case details
- Industry Context: A crypto-hybrid quantitative hedge fund managing $30M in AUM, specializing in US tech equities and high-frequency derivatives trading.
- Challenge & Baseline Costs: Global financial markets operate seamlessly 24/7. Quantitative strategies (e.g., mean reversion, momentum) are highly vulnerable to hitting drawdown thresholds during extreme market volatility. Simultaneously, unstructured event data like sudden Fed speeches, Elon Musk tweets, or massive on-chain transfers can trigger liquidations. The fund hired 3 junior researchers and night-shift traders to rotate across multiple screens, manually calculate risk factors, and monitor charts. This incurred high night-shift premiums and labor costs of HKD 90,000/month, yet human fatigue frequently caused 1–2 minute signal latencies.
- AI Employee Solution: AI Quant Strategy & Risk Command Assistant
- Tech Stack: Python (Pandas/NumPy) + Perplexity API (Real-Time Global News) + Claude 3.5 Sonnet (High-Reasoning Version) + TimescaleDB (Time-Series Database) + Telegram/PagerDuty Bot
- Results & Key Metrics:
- Cost Savings: 100% automated the grueling, high-pressure overnight manual charting shifts, freeing up 2.5 junior traders and netting a clean savings of HKD 75,000/month in night-shift operational costs.
- Workload Automated: Ingested 500+ data sources per second (including WebSocket order books from multiple exchanges, Twitter APIs, and Reuters news streams). The AI employee executed: 1) Real-time unstructured semantic analysis, transforming breaking news into sentiment factors within 3 seconds for the quant backtesting engine; 2) Initial risk management auditing, automatically extracting multi-dimensional data snapshots and preparing preliminary "close/lock position" proposals for one-click confirmation by the master trader when strategies neared warning lines.
- 24/7 Performance: Formed a flawless, millisecond-response risk defense shield operating 24/7. Every morning at 5:30 AM, it automatically compiles and sends a deep, structured Daily Ops Report covering past-24-hour global market anomalies, factor performance, and risk compliance metrics directly to the fund partners.
Built for controlled, auditable AI adoption
- Private workflows aligned with company SOPs
- Human confirmation for high-impact actions
- GEO visibility across major generative engines