Case Studies & proof

Real systems. Real impact.

Read the detailed workflows we engineered and the operational metrics our clients achieved.

D2C Fashion Brand – Shopify

Automated WhatsApp Notifications & AI Support

Problem

The brand struggled with manual order follow-up, cart recovery, and fragmented customer support across multiple channels, leading to high support overhead and lower customer satisfaction.

Solution

We designed and built an automated WhatsApp notification flow triggered by Shopify events, connected an AI support agent trained on brand FAQs to handle front-line queries, and built a real-time operations dashboard.

Result

60% less manual support time, faster customer response times, and a clear, unified view of daily e-commerce operations.

Pharmaceutical Brand – B2B

B2B Outreach Automation Pipeline

Problem

B2B lead generation was slow and manual. Sales reps spent hours daily drafting outreach sequences and had no system to track follow-up progress.

Solution

We integrated a CRM pipeline with an LLM outreach assistant. The assistant auto-drafts personalized sequences, manages follow-up scheduling across email and WhatsApp, and updates status cards.

Result

3× more outreach volume with consistent, high-end messaging alignment and full pipeline visibility.

Agency – Lead Gen

Lead Gen & Intake Automation

Problem

The agency had multiple traffic sources but manual qualification processes, resulting in leads falling through the cracks and slow response times.

Solution

We built click-to-WhatsApp funnels that trigger qualification bots. The bot scores leads based on intake responses and routes qualified targets directly to account managers' channels.

Result

Zero missed leads, 40% faster response times, and clear marketing attribution on every inbound channel.

SME – Internal Ops

Internal Reporting Agent

Problem

The founder spent over two hours daily gathering and compiling metrics from Shopify, Google Sheets, CRMs, and payment gateways.

Solution

We engineered an AI agent that runs on a daily schedule, fetches metrics from respective APIs, standardizes data, and posts a clean report summary directly in the founder's Slack channel.

Result

Daily reporting is 100% automated, delivered by 8 AM daily, saving 10+ hours of founder time weekly.

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