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AI INTEGRATION

GPT-4 & Claude Agents Inside Your Business

5–14 days days

DELIVERY

from $1,000

STARTING PRICE

We embed GPT-4 and Claude AI agents directly into your workflows — customer service, lead qualification, document processing, and content generation. Real AI that works, not demos.

60%

Avg Inquiry Automation

5–14

Days Delivery

1 month

Avg ROI Timeline

2

AI Models Supported

ABOUT THIS SERVICE

WHY IT MATTERS

AI integration is not about installing a chatbot widget and calling it done. Real AI integration means connecting the model to your actual data — your CRM, your product catalog, your documents, your internal knowledge base. The result is an AI agent that knows your business and can do real work.

We work with GPT-4, Claude 3.5, and custom fine-tuned models. The choice of model depends on your use case: Claude for long-document analysis and nuanced writing, GPT-4 for broad reasoning and tool use, custom fine-tuned models for specialized domains where generic models underperform.

A well-implemented AI customer service agent typically handles 50–70% of incoming inquiries without human involvement. One of our clients, an e-commerce startup in Orlando, achieved positive ROI within the first month after deploying an AI agent that handled customer questions about orders, returns, and product recommendations.

We handle the full implementation: prompt engineering, retrieval-augmented generation (RAG) for knowledge base access, tool calling for CRM and database operations, and deployment. You get a production-ready agent, not a prototype.

DELIVERABLES

WHAT IS INCLUDED

AI customer service chatbot (GPT-4 or Claude)
Lead qualification agent (scores and routes inbound leads)
Document processing: extract data from PDFs, invoices, contracts
RAG (Retrieval-Augmented Generation) for knowledge base Q&A
Content generation pipeline (product descriptions, emails, reports)
Custom AI model fine-tuning for specialized domains
Integration with your CRM for lead and contact management
Voice AI (text-to-speech and speech-to-text pipelines)
Multi-language support for customer-facing agents
Analytics dashboard: queries handled, escalation rate, topics
Fallback to human escalation when confidence is low
Webhook-based triggers from your existing tools

HOW WE WORK

OUR PROCESS

01

USE CASE DEFINITION

We identify the highest-value AI use case for your business — where automation saves the most time or money.

02

DATA & KNOWLEDGE SETUP

We prepare your knowledge base, connect your data sources, and design the agent's scope and escalation rules.

03

PROMPT ENGINEERING

System prompts, few-shot examples, tool definitions. The quality of the prompt determines 80% of the output quality.

04

INTEGRATION & TESTING

Connect the agent to your website, CRM, or internal tools. Extensive testing with real queries from your team.

05

DEPLOYMENT & MONITORING

Production deployment with usage analytics. We monitor the first 2 weeks and tune the agent based on real-world performance.

STACK

TECHNOLOGIES USED

OpenAI GPT-4Anthropic ClaudeLangChainPineconeSupabaseNext.jsTypeScriptVercel

COMMON QUESTIONS

FAQ

Will the AI chatbot know about my specific products and services?

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Yes. We use Retrieval-Augmented Generation (RAG) to give the AI access to your product catalog, FAQ, policies, and any other documents you provide. The AI answers questions based on your actual content — not generic training data.

What happens when the AI does not know the answer?

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We configure fallback behavior to match your workflow: the agent can say it does not know and provide a contact option, create a support ticket, send a notification to your team, or seamlessly hand off to a human via live chat. You define the rules.

How is my data protected when using GPT-4 or Claude?

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We use the enterprise API endpoints of OpenAI and Anthropic, which do not use your data for model training by default. Customer conversations are stored in your own Supabase database — you own the data. We can implement end-to-end encryption for sensitive use cases.

Can you build an AI agent that takes actions, not just answers questions?

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Yes. Using tool calling (function calling in OpenAI's API), we can build agents that look up orders, update CRM records, book appointments, send emails, and trigger workflows. The agent becomes an active participant in your business operations, not just an information retrieval system.

How do I measure whether the AI is performing well?

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We build an analytics dashboard showing: queries handled, escalation rate, topic distribution, and customer satisfaction (if you collect ratings). You can see exactly how much work the agent is handling and where it needs improvement.

READY TO BUILD YOUR
AI INTEGRATION SOLUTION?

Free first consultation. We audit your current setup and propose the best solution for your budget. No commitment required.