AI Integration & Automation

ChatGPT, Claude, and Gemini integrated into your real business workflows. AI that actually works, connected to your data, your systems, and your team.

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AI That Works Inside Your Real Business Processes

Most businesses are sitting on enormous potential to save time and money with AI, but don't know where to start, or have tried tools that didn't deliver real results. We integrate AI into your actual workflows, connected to your real data and systems.

Whether it's a customer-facing chatbot, an AI agent that classifies and routes support tickets, or a workflow that generates reports automatically, we build AI features your team actually uses and your business actually benefits from.

ChatGPT, Claude and Gemini integration
AI agents built into your existing workflows
Intelligent chatbots and virtual assistants
AI-powered data classification and extraction
n8n AI workflow automation pipelines
Custom LLM integration with your data and APIs

AI Solutions We Build

Practical AI that solves real business problems, not demos that sit on a shelf.

AI Chatbots & Assistants

Trained on your content, connected to your data. Chatbots that handle real customer questions and reduce support load around the clock.

AI Agents & Decision Automation

Multi-step AI agents that reason, decide, and act, classifying tickets, routing leads, drafting responses, and taking action without human input.

Document & Data Intelligence

Extract, classify, and summarize information from documents, emails, and forms automatically, feeding clean data directly into your systems.

AI-Powered Reporting

Generate intelligent summaries, forecasts, and insights from your data, automatically and on schedule, without manual effort.

AI Workflow Automation via n8n

n8n pipelines with AI nodes, connecting ChatGPT, Claude, or Gemini to your APIs, CRMs, and databases in automated multi-step workflows.

LLM API Integration

We integrate OpenAI, Anthropic, or Google AI APIs into your existing product or backend, cleanly, securely, and with proper error handling.

How We Build AI Into Your Business

Thoughtful, tested, and built to deliver measurable results.

01

Identify High-Impact Use Cases

We analyze your operations to identify exactly where AI will save the most time or money, and where it won't be worth the complexity.

02

Design the AI System

We design the AI architecture, which models to use, how they connect to your data and systems, and what the output looks like in practice.

03

Build and Integrate

We build the AI integration into your product or workflow, connecting it to your APIs, databases, and business logic, not just a standalone demo.

04

Test and Validate

We test outputs against real business scenarios, refine prompts and logic, and validate that the system performs reliably at scale.

05

Deploy and Monitor

We deploy with monitoring, logging, and cost controls in place so your AI runs efficiently, and you can see exactly what it is doing.

Project Tiers

AI that delivers ROI, scoped to your business needs.

Chatbot / Assistant
2-4 weeks

AI chatbot trained on your content, connected to your data, deployed to your site or app.

  • Trained on your content
  • Connected to your data
  • Site or app deployment
  • Conversation logs
  • API cost monitoring
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Custom AI Platform
2-4 months

Full AI-powered product features, RAG pipelines, fine-tuning, and multi-agent orchestration.

  • Custom RAG pipelines
  • Multi-agent orchestration
  • Fine-tuning support
  • Production monitoring
  • Cost controls & alerts
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Each AI integration is scoped to your data and systems. Get a free assessment within 24 hours.

Frequently Asked Questions

Quick answers to questions clients ask before getting started.

How much does it cost to run AI features?

API costs vary by usage. A typical chatbot handling 1,000-5,000 conversations a month runs $20-100 in API costs (GPT-4o or Claude). Workflows that classify or summarize cost similarly. We design with cost controls so bills never surprise you.

Which AI model should I use - ChatGPT, Claude, or Gemini?

It depends on the task. Claude tends to lead on reasoning and longer context, GPT-4o on creative content, Gemini on Google ecosystem integration and cost. We benchmark on your actual use case before committing.

What is RAG and do I need it?

RAG (Retrieval Augmented Generation) lets the AI answer questions using your private data without retraining the model. If you need an AI that knows your company's docs, products, or customer history, you almost certainly need RAG.

How do you handle AI hallucinations?

For business-critical workflows, we ground answers with RAG (retrieval), validate outputs against rules or schemas, and route uncertain cases to humans. We never deploy AI without guardrails.

Can the AI take real actions, like updating my CRM?

Yes. We build AI agents that don't just talk, they execute actions: update CRM records, send emails, create tickets, trigger workflows. With proper authentication and audit logging.

Ready to Build AI Into Your Business?

Let us identify your highest-impact AI opportunity. Free consultation, no pressure.

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