AI Automation Case Studies:
Real Systems, Measurable Business Results
No hypothetical wireframes or inflated claims. Explore the exact n8n pipelines, autonomous AI communication agents, and lead qualification engines engineered by Krishna Prajapati and the NewEra team across different business models.
Real Client Problem ➔ Actual Architecture ➔ Measurable Outcome
Every case study below outlines the actual technical constraints, the automation trigger-logic sequence, and the exact outcome achieved.
GT Atelier: Automated UK Influencer Discovery & Verified Lead Scraper
The Business Challenge:
GT Atelier is an independent sustainable slow-fashion studio based in London. To launch their seasonal collection, they needed to partner with authentic UK micro-influencers and stylists. Manually researching creators on Instagram, evaluating follower engagement, checking bios for contact emails, and copy-pasting into spreadsheets was taking over 20 hours a week and yielded few results.
The NewEra Automation Architecture:
We engineered an autonomous multi-node scraping and enrichment pipeline built on n8n:
- Trigger: Automated schedule node inputs curated London sustainable fashion hashtags and creator lookalikes into an Apify scraper actor.
- Filtration Logic: A custom JavaScript function node filtered out bot accounts, inactive profiles, and non-UK creators based on engagement ratios.
- Email Extraction & DNS Check: Extracted business emails from creator bios and ran MX record syntax verification to ensure high inbox deliverability.
- Human-in-the-Loop Staging: Appended clean records into an organized Google Sheets dashboard with creator photos, handle links, and draft email templates, giving the founder 1-click approval before sending.
Pradeep Kumar: Dual-Inbox AI Triage & Outreach Automation
The Business Challenge:
Pradeep Kumar is an independent SEO and growth consultant managing communications across both a corporate Outlook account and a personal Gmail inbox. With dozens of incoming partnership requests, vendor solicitations, and client audit inquiries arriving daily, valuable high-ticket prospects were getting buried, and manual follow-ups were consistently slipping through the cracks.
The NewEra Automation Architecture:
We engineered an autonomous dual-inbox triage engine synchronizing both platforms:
- Trigger: Dual webhook listeners polling Gmail API and Microsoft Graph (Outlook) for new unread messages.
- AI Intent Classification: Passed raw email text to an LLM node to categorize messages (Hot Prospect, Active Client Query, Vendor Pitch, Newsletter Spam).
- Drafting Engine: For legitimate prospect queries, the agent extracted project scope and generated an individualized contextual reply draft including portfolio links and booking slots.
- Automated Follow-Up Sequences: Dispatched multi-touch email sequences if prospective leads didn't respond within 72 hours, with automated loop termination upon reply.
Production-Grade n8n Workflows
Inspect the exact autonomous n8n pipelines, AI scoring agents, and multi-channel engines built by NewEra Automations.
AI Lead Scorer & Email Generator Agent
Reads leads from Google Sheets, scrapes target websites, passes enrichment data to OpenRouter LLM to score lead quality (Score >= 70 threshold), generates customized outreach emails via AI Agent Email Writer, and dispatches via Gmail API.
The NewEra Proof & Integrity Commitment
In an industry flooded with fake screenshots, unverified testimonials, and rented awards, NewEra Automations operates with absolute transparency. We never publish fabricated client logos, fake case studies, or hypothetical ROI claims. Every workflow featured on this website represents real engineering architected and tested by Krishna Prajapati.
Ready To Engineer Measurable Automation Results?
Message Krishna Prajapati directly on WhatsApp. We will audit your current repetitive bottlenecks, identify high-leverage automation opportunities, and give you an honest technical assessment.