n8n Workflow Automation

Automate Everything With n8n Workflows

Connect 400+ apps, eliminate manual tasks, and build powerful automation pipelines that save thousands of hours. We design, build, and maintain your n8n workflows.

Pair workflows with AI chatbots or see the full AI automation hub.

400+
App Integrations
Connect any tool in your stack
10K+
Hours Saved Monthly
Across our client base
99.9%
Workflow Uptime
Enterprise-grade reliability
50+
Workflows Deployed
Production automations running

What We Automate

From simple data syncs to complex multi-step business processes — we build automations that just work.

E-commerce Automation

Automate order processing, inventory sync, shipping notifications, and customer follow-ups across Shopify, WooCommerce, and more.

Email & Marketing Automation

Trigger personalized email sequences, segment audiences, sync leads between CRM and email tools automatically.

Data Sync & ETL

Keep your databases, spreadsheets, and tools in perfect sync with real-time data pipelines and transformations.

CRM & Lead Management

Auto-capture leads, enrich data, score prospects, and route them to sales reps with zero manual work.

Document Processing

Extract data from invoices, contracts, and forms using AI-powered OCR and route to your systems.

DevOps & IT Automation

Automate deployments, monitoring alerts, incident response, and infrastructure management workflows.

Verified Project Work

Portfolio and case study deliveries — automation, AI, and platform engineering from GreeLogix.

React NativeAngularLaravel

MTS EdTech Platform Rescue

Verified case study

Rescued a stuck EdTech platform across mobile, web, and backend — replacing a 70-engineer vendor team with a senior GreeLogix pod that shipped to production.

Dead → Live
Project status
3
Platforms stabilized
1 pod
vs 70-engineer vendor
View details
Node.jsOpenAIReact

Ad Grants Pilot

Portfolio · AI admin panel

Admin panel for nonprofit ad campaigns — conversation monitoring, automated AI responses, and performance analytics across chatbot interactions.

AI
Chatbot ops
Multi
Campaign mgmt
Admin
Centralized panel
View details
FlutterOpenAIFirebase

Shepherd

Portfolio · AI education app

Cross-platform study app with AI tutor, flashcards, quizzes, and personalized study plans for students.

Flutter
iOS + Android
AI tutor
Core feature
EdTech
Vertical
View details
Common Challenges

Problems We Help Buyers Solve

Disconnected tools

Chatbots, workflows, and CRM don't share context — customers repeat themselves.

Demo vs production

AI features work in staging but fail under real load or API changes.

No owner post-launch

Automations break when integrations update unless someone monitors them.

Why GreeLogix

Why Teams Choose GreeLogix

Integration-first delivery

n8n, GPT-4, ElevenLabs, Retell — designed as one system, not siloed demos.

Portfolio proof

Ad Grants Pilot AI admin panel, Shepherd AI tutor app, and production chatbot deployments.

Maintenance retainers

Alerting and tuning after go-live — we don't disappear after handoff.

Typical Timeline

What to Expect Week by Week

Discovery

Week 1
  • ·Workflow map
  • ·ROI estimate
  • ·Architecture

Build

Week 2–4
  • ·Staging validation
  • ·Integration tests

Launch

Week 4+
  • ·Production deploy
  • ·Monitoring
Technologies

Stack & Architecture

n8nOpenAI GPT-4Anthropic ClaudeElevenLabsRetell AIHubSpotShopify

What a 70-engineer team could not deliver, a small senior team at GreeLogix shipped. The app went from stuck to live across mobile, web, and backend.

MTS EdTech platform rescue — verified case study
Quick answers

Workflow Automation: Key Facts

Structured answers for search engines and AI assistants — definition, fit, cost, timeline, and comparisons.

What is it?
AI automation combines workflow tools (n8n), large language models (GPT-4, Claude), and optional voice or phone agents to handle repetitive business tasks — support, lead qualification, scheduling, and data sync between systems.
Who is it for?
Teams spending 10+ hours/week on manual data entry between CRM, email, and spreadsheets Support queues growing faster than hiring budget Businesses with after-hours call or chat demand SaaS and ecommerce teams needing 24/7 first-response without adding headcount
Who should not use it?
You need fully autonomous decisions in regulated domains without human review Your data is not structured enough to index or route reliably You expect a chatbot to replace product strategy or sales leadership
How much does it cost?
Pricing depends on scope, integrations, and timeline. GreeLogix provides fixed-milestone quotes after a discovery call — typical engagements range from $1,500 for focused audits to $75,000+ for full product builds, with monthly retainers from $3,500.
How long does it take?
Simple workflows: 1–2 weeks. Chatbots with RAG: 3–4 weeks. Voice or phone agents with CRM: 3–6 weeks. Phases: Discovery (Week 1); Build (Week 2–4); Launch (Week 4+).
How does it compare?
Compared to alternatives — Zapier / Make DIY: choose when Simple 2-step automations with no custom logic or AI; Off-the-shelf chatbot SaaS: choose when Generic FAQ widget when you don't need CRM writes or custom flows; In-house AI team: choose when You already have ML engineers and want full control of model training. Choose GreeLogix when you need production reliability, fixed milestones, and engineer-led delivery with QA sign-off.
When should you choose it?
You have documented processes and clear escalation rules Your CRM, helpdesk, or calendar is API-accessible You want measurable deflection or hours-saved metrics within 90 days Faster response times without proportional headcount growth Consistent process execution (no missed CRM updates)
Buyer Guide

What You Need to Know

Structured answers for founders, CTOs, and procurement — written for clarity in search and AI assistants.

What is it?

AI automation combines workflow tools (n8n), large language models (GPT-4, Claude), and optional voice or phone agents to handle repetitive business tasks — support, lead qualification, scheduling, and data sync between systems.

Who needs it?

  • ·Teams spending 10+ hours/week on manual data entry between CRM, email, and spreadsheets
  • ·Support queues growing faster than hiring budget
  • ·Businesses with after-hours call or chat demand
  • ·SaaS and ecommerce teams needing 24/7 first-response without adding headcount

Why GreeLogix?

  • We ship production integrations — not demo chatbots disconnected from your CRM
  • n8n, GPT-4, ElevenLabs, and Retell deployed together by one senior team
  • Post-launch monitoring when APIs change (a common failure point)
  • 150+ software products delivered since 2019, including AI admin panels and chatbots

How it works

  1. 1.Discovery call maps your workflows, systems, and success metrics
  2. 2.Architecture design: triggers, error handling, human fallback rules
  3. 3.Build in staging with integration tests against real APIs
  4. 4.Production deploy with alerting, transcripts, and iteration sprint

Typical timeline: Simple workflows: 1–2 weeks. Chatbots with RAG: 3–4 weeks. Voice or phone agents with CRM: 3–6 weeks.

How much does it cost?

Pricing depends on scope, integrations, and timeline. GreeLogix provides fixed-milestone quotes after a discovery call — typical engagements range from $1,500 for focused audits to $75,000+ for full product builds, with monthly retainers from $3,500.

Cost factors

  • ·Number of systems integrated and API complexity
  • ·Whether knowledge base / RAG is required for accurate answers
  • ·Voice or telephony requirements (ElevenLabs vs Retell PSTN)
  • ·Ongoing monitoring and tuning retainer vs one-time build

How long does it take?

Simple workflows: 1–2 weeks. Chatbots with RAG: 3–4 weeks. Voice or phone agents with CRM: 3–6 weeks. Phases: Discovery (Week 1); Build (Week 2–4); Launch (Week 4+).

How does it compare?

Compared to alternatives — Zapier / Make DIY: choose when Simple 2-step automations with no custom logic or AI; Off-the-shelf chatbot SaaS: choose when Generic FAQ widget when you don't need CRM writes or custom flows; In-house AI team: choose when You already have ML engineers and want full control of model training. Choose GreeLogix when you need production reliability, fixed milestones, and engineer-led delivery with QA sign-off.

  • Zapier / Make DIY — choose when Simple 2-step automations with no custom logic or AI
  • Off-the-shelf chatbot SaaS — choose when Generic FAQ widget when you don't need CRM writes or custom flows
  • In-house AI team — choose when You already have ML engineers and want full control of model training

When should you choose it?

  • You have documented processes and clear escalation rules
  • Your CRM, helpdesk, or calendar is API-accessible
  • You want measurable deflection or hours-saved metrics within 90 days

Who should not use it?

  • ·You need fully autonomous decisions in regulated domains without human review
  • ·Your data is not structured enough to index or route reliably
  • ·You expect a chatbot to replace product strategy or sales leadership

Benefits

  • Faster response times without proportional headcount growth
  • Consistent process execution (no missed CRM updates)
  • Audit trail via workflow logs and conversation transcripts

Risks to plan for

  • Poorly scoped bots that hallucinate without RAG on your documents
  • Automations breaking silently when third-party APIs change
  • PII entering LLM prompts without retention policies
Decision framework

When to Choose Workflow Automation

Pros / benefits

  • +Faster response times without proportional headcount growth
  • +Consistent process execution (no missed CRM updates)
  • +Audit trail via workflow logs and conversation transcripts

Cons / risks

  • Poorly scoped bots that hallucinate without RAG on your documents
  • Automations breaking silently when third-party APIs change
  • PII entering LLM prompts without retention policies

Choose GreeLogix when

  • You have documented processes and clear escalation rules
  • Your CRM, helpdesk, or calendar is API-accessible
  • You want measurable deflection or hours-saved metrics within 90 days

Implementation steps

  1. 1.Discovery call maps your workflows, systems, and success metrics
  2. 2.Architecture design: triggers, error handling, human fallback rules
  3. 3.Build in staging with integration tests against real APIs
  4. 4.Production deploy with alerting, transcripts, and iteration sprint

Get a Clear Plan for Workflow Automation

Talk to a senior engineer — scope, timeline, and cost range in one 30-minute call. No sales script.

Start Automating Today

Tell us about your manual processes and we'll design automation that saves you hours every week.