AI Consulting & Strategy

Transform Your Business With AI Strategy That Delivers

Don't just adopt AI — implement it strategically. We help you identify the right opportunities, choose the right tools, and execute with confidence for measurable business impact.

Not sure where to start? Take our free AI readiness audit or explore AI integration services.

Book AI Consultation See Verified Work
150+
Products Shipped
75+
AI Systems Built
3–6mo
Typical Roadmap
2019
Founded

Our Consulting Services

End-to-end AI consulting from strategy to deployment.

AI Readiness Assessment

We evaluate your current processes, data infrastructure, and team capabilities to identify the highest-ROI AI opportunities.

AI Strategy & Roadmap

A phased implementation plan with clear milestones, budget estimates, and expected ROI for your AI transformation journey.

Technology Selection

Vendor-agnostic recommendations for the right AI tools, platforms, and models based on your specific needs and constraints.

Team Training & Enablement

Hands-on workshops and training programs to upskill your team on AI tools, prompt engineering, and automation best practices.

AI Governance & Ethics

Establish responsible AI policies, data privacy frameworks, and compliance guidelines for regulated industries.

Pilot to Production

We take your AI projects from proof-of-concept to production-ready systems with monitoring, scaling, and optimization.

Verified Project Work

Case study and portfolio projects where GreeLogix delivered AI, platform, or rescue work — no fabricated metrics.

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
Read: MTS EdTech Rescue — Dead → Live project turnaround
Quick answers

AI Consulting: 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 AI Consulting

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 Consulting

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

Book a Free Strategy CallStart with Free AI Audit
Free Tools

Plan Before You Engage Us

Use our free calculators and planners — then book a strategy call when you are ready for a senior engineer review.

Browse all free tools
Resources

Continue Your Research

Case studies, guides, and free tools from the same engineering team.

All resources

Start Your AI Journey

Book a free AI consultation and discover how AI can transform your business.

AI & Automation

Explore Our AI Services

From chatbots and voice agents to workflow automation — pick the capability that matches your roadmap.