What is AI Chatbots?
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.
Custom AI chatbots powered by GPT-4 & Claude that handle support, qualify leads, and drive sales — available 24/7 across all your channels.
Need an agency-led rollout? See our chatbot development company services or browse the broader AI automation hub.
Every chatbot we build comes packed with advanced capabilities designed for real business impact.
Leverage the most advanced LLMs for natural, context-aware conversations that truly understand your customers.
Deploy chatbots that communicate fluently in 50+ languages, expanding your global reach instantly.
SOC2-compliant deployments with data encryption, access controls, and audit trails for regulated industries.
Connect to your CRM, helpdesk, e-commerce platform, and 200+ tools in minutes, not weeks.
Smart escalation to live agents when needed, with full conversation context preserved seamlessly.
Track resolution rates, customer satisfaction, conversation flows, and ROI in real-time.
See how businesses across industries are leveraging our AI chatbots to transform customer experiences.
Resolve 70% of support tickets automatically with AI that understands your product, policies, and processes.
Engage visitors 24/7, qualify leads with intelligent questioning, and book meetings directly into your calendar.
Give employees instant access to company knowledge, HR policies, IT support, and onboarding materials.
Guide shoppers with personalized product recommendations, size guides, and order tracking support.
We analyze your customer interactions, identify automation opportunities, and define chatbot personality & scope.
We ingest your documentation, FAQs, product data, and past conversations to train a domain-specific AI model.
Custom chatbot development with your branding, conversation flows, integrations, and thorough QA testing.
Launch across your channels with continuous monitoring, A/B testing, and monthly performance optimization.
Chatbots, workflows, and CRM don't share context — customers repeat themselves.
AI features work in staging but fail under real load or API changes.
Automations break when integrations update unless someone monitors them.
n8n, GPT-4, ElevenLabs, Retell — designed as one system, not siloed demos.
Ad Grants Pilot AI admin panel, Shepherd AI tutor app, and production chatbot deployments.
Alerting and tuning after go-live — we don't disappear after handoff.
“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.
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.
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.
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+).
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) |
Talk to a senior engineer — scope, timeline, and cost range in one 30-minute call. No sales script.
Use our free calculators and planners — then book a strategy call when you are ready for a senior engineer review.
Case studies, guides, and free tools from the same engineering team.
Tell us about your project and we'll design a chatbot solution tailored to your business needs.
From chatbots and voice agents to workflow automation — pick the capability that matches your roadmap.