Case Study · Flagship System

The Arkyniq Lead Management System.

A deep look at how we engineered an end-to-end lead capture, qualification, and follow-up system that cuts manual work by over 80% and responds to every incoming lead in under two minutes.

Category
Sales Automation
Built For
Mid-sized Businesses
Stack
n8n · Claude · Apollo
Deployment
5–7 Days
The Problem

Every mid-sized business is losing leads they never even see.

Businesses running ads, inbound forms, and listings on multiple platforms generate hundreds of leads per month. In most companies, these leads flow into a fragmented mix of inboxes, spreadsheets, and CRMs — where sales teams manually triage, qualify, and follow up.

The result is predictable: response times stretch into hours, unqualified leads consume agent bandwidth, and a majority of cold leads are never re-engaged. The real cost isn't the leads that close slowly — it's the leads that simply vanish into the operational gap.

The System

A six-phase pipeline. Fully automated. Production-grade.

We designed a modular lead operations system built on n8n, integrated with AI scoring, enrichment APIs, and multi-channel outreach tools. Every phase is independently monitored, with automated error handling and re-try logic built in.

Phase 01Trigger
Schedule Trigger
Runs every 24h · on demand
Phase 02Scrape
LinkedIn Scraper
Phantombuster · Apify
Apollo.io API
Contacts by filters
Web / Maps Scrape
Apify · Bright Data
Phase 03Enrich
Find Email
Hunter.io · Snov.io
Enrich Company Data
Clearbit · Apollo
Verify Email
ZeroBounce · NeverBounce
Phase 04Qualify
AI Lead Scoring
Claude · GPT-4 via HTTP node
Phase 05Route
Hot Lead Branch
Score ≥ threshold
Cold / Nurture
Re-engagement queue
Phase 06Deploy
Email Outreach
Instantly · Lemlist
Push to CRM
HubSpot · Pipedrive
Log to Database
Google Sheets · Airtable
The Approach

Engineered for reliability, not just function.

Anyone can stitch together a no-code automation that works on a good day. Production systems fail on bad days — so we designed for the bad days first.

Every integration has explicit error handling, every AI call has fallback logic, every external API call has retry policies, and the entire system has end-to-end observability. The result is a workflow that runs reliably in the background without constant babysitting.

On top of that, the scoring logic is transparent and tunable. Business owners can adjust qualification criteria without touching code — a prompt-based control layer makes the system as flexible as the team using it.

Expected Outcomes

What this system is engineered to deliver.

These are the target benchmarks the system is architected to hit in a typical mid-sized business deployment. Actual results depend on current lead volume, quality of existing data, and team adoption — but the engineering is built to these specs from day one.

< 2 min
Average first response time to every new qualified lead
80%+
Reduction in manual qualification work for the sales team
24/7
Always-on lead capture and follow-up, including weekends and holidays
Typical increase in cold-lead re-engagement rate
100%
Lead tracking coverage across every capture source
5–7 days
From kickoff to a live, integrated, running system
Trust Signals

Why this case study instead of testimonials.

We're early. We're not going to pretend we have 50 logos to display or invent quotes from fictional happy clients. What we do have is a real, functional system engineered to specific outcomes — and the confidence to show you exactly how it's built.

The testimonials will come. Until then, the architecture itself is the proof — and we'd rather you evaluate us on what we've built than what we claim.

If you want to see this system deployed for your business, we're currently accepting founding clients at preferred rates in exchange for permission to document the results.

Ready to see this system
running in your business?

Book a diagnostic call. We'll map your current lead flow and show you exactly where automation creates the biggest impact.

Book a Diagnostic Call