AI Automation Experts

Automate Everything with AI-Powered Workflows

GreeLogix is an AI automation company for teams that need n8n workflows, production chatbots, voice agents, and phone AI — integrated with the CRM, ecommerce, and ops tools you already use.

Start with custom chatbot solutions, voice AI agents, or n8n workflow automation.

50+ automations deployed · Senior engineers · 30 min, no commitment

50+
Automations Deployed
10K+
Hours Saved Monthly
$500K+
Client Savings
99.9%
Uptime

Our Automation Services

We leverage the best AI tools to build automations tailored to your business needs.

n8n Workflow Automation

End-to-end business process automation with n8n. We connect your tools, automate repetitive tasks, and build intelligent workflows that save hours every day.

CRM & lead management automation
Email & notification workflows
Data sync across 400+ integrations
Scheduled reports & alerts
Webhook-driven event processing
Custom API integrations
400+Integrations Available
n8n Workflow Automation details

AI Chatbots & Assistants

Custom AI chatbots powered by GPT-4, Claude, and fine-tuned models. From customer support to internal knowledge bases — we build bots that actually understand your business.

Customer support automation
Lead qualification bots
Knowledge base assistants
Multi-language support
CRM & ticketing integration
Conversation analytics
80%Query Resolution Rate
AI Chatbots & Assistants details

ElevenLabs Voice Agents

Natural-sounding AI voice agents for customer interactions, IVR systems, and conversational interfaces. Ultra-realistic voices that your customers won't distinguish from humans.

Conversational voice bots
Custom voice cloning
Multi-language voice support
Real-time voice synthesis
Voice-based customer support
Interactive voice menus
29+Languages Supported
ElevenLabs Voice Agents details

Retell AI Phone Agents

AI-powered phone agents that handle inbound and outbound calls. Automate appointment scheduling, follow-ups, surveys, and sales calls with human-like phone conversations.

Inbound call handling
Outbound sales & follow-ups
Appointment scheduling
Survey & feedback collection
Call transcription & analytics
CRM auto-logging

Verified Project Work

Real GreeLogix deliveries — case study and portfolio projects with AI, automation, or platform engineering.

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
LaravelReactPostgreSQL

Jalebi

Portfolio · Restaurant SaaS

Multi-branch restaurant operations platform — inventory, orders, reporting, and supply management in one Laravel + React system.

SaaS
Multi-branch ops
Laravel
Backend
B2B
Hospitality
View details

How We Work

01

Discovery

We audit your processes to find automation opportunities

02

Design

We architect the automation workflow and select the right tools

03

Build & Test

We build, integrate, and thoroughly test every automation

04

Deploy & Support

We deploy, monitor, and optimize for continuous improvement

Common Challenges

Problems We Help Buyers Solve

Teams hire for AI automation when manual work blocks growth — but most projects fail on integration, not model choice.

Tool sprawl

Zapier recipes, one-off scripts, and SaaS features that don't talk to each other.

Chatbots that don't resolve

Generic bots increase frustration when they can't access order data or CRM context.

Voice & phone gaps

IVR trees and missed calls while competitors deploy 24/7 AI agents.

No one owns maintenance

Automations break silently when APIs change — unless someone monitors them.

Why GreeLogix

Why Teams Choose GreeLogix

Full-stack automation partner

n8n workflows, GPT-4 chatbots, ElevenLabs voice, and Retell phone agents — designed and maintained by one senior team.

50+ automations in production

E-commerce, SaaS, healthcare, and real estate workflows with measurable hour and cost savings.

Integration-first

400+ app connectors plus custom API work for Salesforce, HubSpot, Shopify, and internal systems.

Post-launch optimization

We monitor, tune, and extend automations — not hand you a diagram and disappear.

Typical Timeline

What to Expect Week by Week

Process audit

Week 1
  • ·Workflow map
  • ·ROI estimate
  • ·Tool selection

Design

Week 1–2
  • ·Automation architecture
  • ·Error handling plan
  • ·Human fallback rules

Build & test

Week 2–4
  • ·n8n / bot / voice build
  • ·Integration tests
  • ·Staging validation

Deploy & monitor

Week 4+
  • ·Production rollout
  • ·Alerting
  • ·Optimization sprint
Technologies

Stack & Architecture

Production automations combine event triggers (webhooks/schedules), idempotent workflow steps, dead-letter queues for failures, and human-in-the-loop approvals for high-risk actions.

n8nOpenAI GPT-4Anthropic ClaudeElevenLabsRetell AIHubSpotSalesforceShopifySlackCustom APIs

Industries Served

  • E-commerce
  • SaaS
  • Healthcare
  • Real estate
  • Professional services
  • Nonprofits

Integration Capabilities

  • Shopify
  • HubSpot
  • Salesforce
  • Google Workspace
  • Slack
  • Stripe
  • Calendly
  • Zendesk

Security & Compliance Considerations

Credential vaulting

OAuth and API keys stored in secure environment config — never hard-coded in workflow JSON exported to clients.

PII in LLM flows

We scope what data enters prompts and logs; redaction and retention policies defined per project.

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

AI 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: Process audit (Week 1); Design (Week 1–2); Build & test (Week 2–4); Deploy & monitor (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: Process audit (Week 1); Design (Week 1–2); Build & test (Week 2–4); Deploy & monitor (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 AI 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 AI Automation

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

Ready to Automate?

Tell us about your business processes and we'll show you what's possible.

FAQ

Frequently Asked Questions

Next step

Get a Senior Engineer's Take in 30 Minutes

Scope, timeline, and cost range — no sales deck. Or start with the free readiness quiz if you are still evaluating your stack.

Senior engineers onlyResponse within 4 business hoursNo commitment on first call