Connect 400+ apps, eliminate manual tasks, and build powerful automation pipelines that save thousands of hours. We design, build, and maintain your n8n workflows.
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.
Joined The INCC (The Inccubator) during ongoing development and continued the Laravel backend, Flutter and iOS apps, and admin dashboard. Live at theincc.com.
“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.”
At-a-glance scope, pricing tiers, delivery timelines, engineering tradeoffs, and decision criteria for technical founders and product leaders.
What is Workflow Automation?
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.
How much does Workflow Automation cost?
Pricing depends on scope, integrations, and timeline. GreeLogix provides transparent fixed-milestone quotes after discovery, with flexible models for one-off audits, sprint retainers, or dedicated engineers.
Key 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 delivery 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+).
Delivery Phases
1.Discovery call maps your workflows, systems, and success metrics
2.Architecture design: triggers, error handling, human fallback rules
3.Build in staging with integration tests against real APIs
4.Production deploy with alerting, transcripts, and iteration sprint
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
When NOT to use this service
·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
Pros / 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
How Does Workflow Automation Compare to Alternatives?
Compare delivery models, cost profiles, and engineering tradeoffs before committing resources.
Option / Approach
Best When
Primary Tradeoff / Risk
Recommended Fit
Zapier / Make DIY
Simple 2-step automations with no custom logic or AI
Scalability bottlenecks, vendor lock-in, architectural rigidity, and substantial technical debt before handling production traffic.
Early validation & UI experiments
Off-the-shelf chatbot SaaS
Generic FAQ widget when you don't need CRM writes or custom flows
Recurring per-seat software fees, inflexible workflow constraints, and zero proprietary software or IP ownership.
Standard non-differentiating processes
In-house AI team
You already have ML engineers and want full control of model training
3–6 month hiring cycle, high recruitment fees, and fixed long-term payroll overhead regardless of development volume.
Companies with dedicated HR pods
GreeLogix Pod
You need production AI workflows and voice agents hooked directly into your real CRM and database, not just isolated demos.
Requires active product owner for weekly sprint reviews and scope alignment.
Production & Scaling (Recommended)
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
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.