01 / BUILD
AI integration that answers, qualifies, and hands off.
An AI chatbot for your website, trained on your business data and wired into your CRM. It answers at 2 AM, captures the lead, scores it hot, warm, or cold, and brings in a human when it matters.
The lead offer
An AI chatbot for your website that feeds your pipeline
My chatbot is a widget trained on your services, pricing, and policies, doing two jobs at once: support for the visitors who need answers, and lead capture for the ones ready to buy.
When a conversation turns into a lead, it does not sit in a transcript. It lands in your CRM, scored and summarized, with an alert on your phone.
11:42 PM: visitor asks about pricing
→ CHATBOT answers from your business data
→ CAPTURE: name, phone, project scope
→ CREATE lead in CRM
→ SCORE: HOT (AI analysis)
→ ALERT owner on WhatsApp
✓ Lead captured while you slept
What I build
Four AI integrations that pay rent
Practical systems on Claude and GPT-class models. No demos, no science projects.
AI chatbot widgets for client sites
Trained on your business data, live on your site: 24/7 support and lead capture with human handoff and a wired CRM handoff. The flagship offer.
AI lead scoring
Every inbound lead scored hot, warm, or cold from the details it carries, so your team calls the right person first instead of working the list top to bottom.
AI product and content features
Recommendations, generated content, and search that understands intent, built into your product the way SavantShopper turned AI styling into an organic traffic engine.
Internal knowledge retrieval
A private assistant over your documents, policies, and history. Your team asks in plain language and gets answers with sources, not a folder hunt.
Proof
AI systems already in production
SavantShopper
AI fashion stylist with a content moat: organic traffic up 450 percent and 85 percent user retention.
68%WizJock
ML sports intelligence platform hitting 68 percent prediction accuracy on high-confidence outputs.
AI voiceProper Solutions
AI voice calls qualify every inbound lead, then hand off to a custom CRM with the score and summary attached.
Process
From use case to running system
- 01
Map the use case
Where AI actually earns its keep in your business: support volume, lead qualification, content, or internal search. I say no to AI for AI’s sake.
- 02
Train on your data
Your services, pricing, policies, and documents become the knowledge base. The model answers from your business, not the open internet.
- 03
Wire it in
The widget goes on your site, the handoff goes to your CRM and phone, and the lead scoring plugs into your existing pipeline.
- 04
Tune + monitor
I review real conversations, tighten the answers, and track capture rates. An AI integration is a system you operate, not a plugin you install.
Pricing
A ladder, not a mystery
AI integration setup runs $2,000 to $10,000 depending on scope, plus model usage. Where you land on the ladder depends on how many systems the AI touches.
Chatbot on your content
A widget trained on your site, services, and FAQs with human handoff. The fastest way to stop losing after-hours leads.
Chatbot plus CRM pipeline
Everything above, wired into your CRM with lead capture, AI scoring, and owner alerts.
Full AI integration
Multi-system builds: chatbot, scoring, product features, or internal retrieval across your data, custom-fit to your operation.
Model usage is billed as a passthrough cost, small for most businesses. You get the estimate before anything runs.
FAQ
AI integration, answered
How much does AI integration cost?
Setup runs $2,000 to $10,000 depending on scope, plus model usage. A chatbot trained on your existing content sits at the low end. Multi-system builds with lead scoring, CRM handoff, and custom data pipelines sit at the top.
Can an AI chatbot be trained on my business data?
Yes, that is the whole point. I train the chatbot on your services, pricing, policies, and FAQs so it answers like someone who works there, not like a generic bot. It stays inside your business data and admits when it does not know.
What happens when the chatbot cannot answer?
It hands off to a human. The conversation, the contact details, and everything the visitor already said get packaged and routed to you, so nobody repeats themselves. The bot handles the routine volume; people handle judgment calls.
Does the chatbot connect to my CRM?
Yes. Every conversation that captures a lead flows into your CRM automatically with the visitor details, an AI score of hot, warm, or cold, and a summary of what they asked. Your sales team wakes up to qualified leads, not chat transcripts.
Which AI models do you use?
Claude and GPT-class models, chosen per task and swappable as the field moves. You are never locked to one vendor: the integration is the asset, the model is a component I can replace when something better ships.
Can you build a bilingual English and Spanish chatbot?
Yes. I have built bilingual AI chatbots that handle English and Spanish in the same conversation, which matters in Miami more than almost anywhere. The bot answers in the language the visitor writes in.
Related
The rest of the BUILD stack
Business Automation
The workflows around the model: triggers, follow-ups, and alerts that act on what the AI decides.
Custom CRM
The pipeline your scored leads land in, built around how your team actually sells.
Web Scraping
Feed the model: custom data collection and monitoring as the input layer for AI features.
Put AI on payroll
Tell me what eats your team's time. I will map the use case, quote the ladder, and build the system that answers for you.
Or call (786) 964-8050.