ENTERPRISE_ARCHITECTURE_LAB

We Don't Just Script. We Architect.

Simple automations break at scale. We build fault-tolerant, intelligent systems using n8n, Vector Databases, and Custom API Gateways. Here is the source code of our success.

COMPLEXITY: HIGH

BLUEPRINT_01

THE INTELLIGENT LEAD OS

Multi-Branch Logic + AI Agent

THE CHALLENGE

High-ticket agencies get spammed with low-quality leads. Sales teams waste 20 hours/week qualifying. Manual assignment is unfair.

THE ARCHITECTURE

01. INGEST

Webhook (FB/LinkedIn/Typeform) receives payload.

02. ENRICHMENT

Query Apollo.io API to fetch Company Revenue & Employee Count based on domain.

03. AI ANALYSIS (AGENT)

Send enriched profile to OpenAI (GPT-4o).

PROMPT:

"Analyze lead fit based on 'ICP_Matrix_v2'. Assign Score (0-100)."

04. LOGIC GATE (SWITCH)

•Score < 50: Add to Mailchimp (Nurture Sequence). Stop.

•Score > 50: Continue.

05. ROUND ROBIN

Query Redis DB for next available Sales Rep.

06. ACTION

Create Deal in HubSpot + Send Personalized WhatsApp (using AI summary) + Slack Alert to specific Rep.

CODE_SNIPPET

{
  "node": "AI_Qualifier",
  "prompt": "Return JSON: { score: number, reason: string, routing: 'SDR' | 'AE' }",
  "error_handling": "Retry (3x) on 500 Error"
}

THE IMPACT

AI qualifies 100% of leads in 3 seconds. 78% reduction in sales time wasted on unqualified prospects.

COMPLEXITY: HIGH

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THE OMNI-CHANNEL INVENTORY BRAIN

Database Abstraction + Race Condition Handling

THE CHALLENGE

Managing stock across Shopify (DTC), Amazon (FBA), and Offline (POS). Latency causes overselling. ERP is legacy and slow.

THE ARCHITECTURE

01. UNIFIED LISTENER: Webhooks from Shopify + Amazon SQS + POS API all feed into a Supabase (PostgreSQL) buffer.

02. NORMALIZATION: Transform all incoming JSON payloads into a standardized Order_Object.

03. DEDUPLICATION: Check Redis cache to prevent double-processing of Order IDs.

04. LOGIC CORE:

• IF Source == Amazon → Trigger FBA decrement.

• IF Source == Shopify → Check Warehouse Logic (East vs West Coast).

05. WRITE BACK: Update Master ERP (via SOAP/XML Legacy Wrapper).

06. ALERTING: IF Stock_Level < Threshold → Trigger Slack (Supply Chain Channel) alert.

THE IMPACT

Processed 10,000+ daily orders with 0% sync error rate. Eliminated overselling across all channels.

COMPLEXITY: MEDIUM-HIGH

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THE CONTENT REPURPOSING ENGINE

Media Processing + Human-in-the-Loop Approval

THE CHALLENGE

Podcast recordings sit unused. Editing clips and writing social posts takes 3 days.

THE ARCHITECTURE

TRIGGER: New Video file uploaded to Google Drive (Raw Folder).

TRANSCRIBE: Send audio to OpenAI Whisper → Get Text.

AI CHAIN:

• GPT-4 extracts "Top 3 Viral Hooks"

• GPT-4 writes LinkedIn Thread + Twitter Thread

• DALL-E 3 generates thumbnail options

HUMAN APPROVAL (SLACK): Send draft + images to Slack with buttons: [Approve] | [Regenerate]

WAIT NODE: Pause workflow until button clicked.

DISTRIBUTION:

• IF Approve: Post to LinkedIn/X APIs

• IF Regenerate: Loop back to Step 3

THE IMPACT

1 hour of podcast → 15 pieces of content. 80% time savings with quality control maintained.

How We Build.

Error Handling

Every workflow includes 'Try/Catch' nodes. If an API fails, we auto-retry and log to Sentry. Nothing fails silently.

Data Sovereignty

We prefer self-hosted n8n instances. Your customer data never leaves your controlled infrastructure.

Version Control

All workflows are backed up to GitHub. We can rollback to yesterday's logic instantly.

Rate Limiting

We build 'Split-in-Batches' loops to ensure we never hit API rate limits (e.g., Google Sheets 60 req/min).

CHALLENGE_ACCEPTED

Your workflow is too complex?

We doubt it. We've automated legacy ERPs, banking protocols, and AI video rendering. Try us.

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